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NimbleGen Systems provides the most sensitive ChIP-chip (chromatin immunoprecipitation on chip) microarrays and services on the market. These arrays enable you to rapidly identify the precise binding sites of specific DNA-binding proteins—such as transcription factors, histones, and polymerases—within a target genome, as well as allow you to look at chromatin remodeling in any region of a genome. NimbleGen’s ChIP-chip microarrays and services have become increasingly recognized as the platform of choice, with an expanding list of peer-reviewed publications.
Advantages and Applications 
Comprehensive Set of Array Designs Cover All Your Needs
NimbleGen offers whole genome, promoter, and custom array designs, allowing you to choose the design that meets your research requirements. Our whole-genome ChIP-chip designs interrogate the non-repetitive regions of human, mouse, Arabidopsis, rat, dog, chicken, worm, fly, yeast, and E. coli genomes at intervals of 100bp or less for unbiased discovery of promoter/enhancer elements, transcription factor binding, and histone modification/replacement, and DNase-I hypersensitivity. NimbleGen's human and mouse promoter array designs, based on the latest public genome builds, tile across the promoters of known gene transcripts. You can also order an array design utilized by the ENCODE consortium or tailor a chip specific to your experimental design.
High-Resolution Tiling = High-Resolution Detection of Binding Sites
NimbleGen's current high-density microarrays are available in two formats: 385K (385,000 probes on a single glass slide) and HD2 (2.1 million probes on a single glass slide). This high density provides for high-resolution tiling of your research genome and precise mapping of protein binding sites. With HD2 arrays, the entire non-repetitive human and mouse genomes can be surveyed at 100bp intervals, each with a set of 10 arrays.
High Sensitivity and Specificity Provide Unparalleled Results
NimbleGen's proprietary, light-mediated synthesis process produces high-density
microarrays of long oligonucleotide probes (50-75mer). These long oligo arrays, when used in combination with high-stringency hybridization protocols, produce results of unparalleled sensitivity and specificity. In addition, because NimbleGen performs ChIP-chip in a two-color protocol, where control and test samples are co-hybridized to the same array, inter-array variation is eliminated from the experiment. As a result, NimbleGen's ChIP-chip service can readily detect enrichment as low as two-fold of the target binding site in a ChIP sample, which can be extremely challenging for other array platforms to match.
Figure A. Identification of RNA Polymerase II Binding Sites in MCF7 cells using a HG18 RefSeq Promoter array. NimbleGen's graphical output enables you to visualize protein/DNA interactions.
Easy-to-use Graphical View of the Data Aids Discovery
NimbleGen ChIP-chip results are delivered with SignalMap™ software—a graphic browser that enables you to visually interpret your data and perform peak finding. SignalMap’s
graphic representation of your data aids the discovery of promoter/enhancer elements, transcription factor binding, and histone modification/replacement, and DNase-I hypersensitivity.
Most Up-to-date Genome Builds Ensure Most Accurate Results
NimbleGen ChIP-chip designs are based on the latest genome assemblies and sequence
annotations to ensure comprehensive and accurate representation of the genome. In
addition, you can continue to access array designs based on past genome data builds,
which can be particularly useful for comparisons to prior studies.
The NimbleGen ChIP-chip Array Designs 
NimbleGen has a range of ChIP-chip microarray designs to choose from, or you can customize the array probe set to your specifications. The existing designs include whole genome survey sets, consisting of uniform tiling arrays covering all unique regions of the human genome, and promoter array designs aimed at known promoter regions. For custom designs, researchers can specify their regions of interest for a fine-tiling approach or design their own targeted probes for a tailored array solution.
Delivery and Service Options 
ChIP-chip Array Delivery
Customers can purchase catalog arrays or custom arrays from NimbleGen, and perform the array experiments at their own laboratories or core facilities. NimbleGen arrays are synthesized on standard-sized glass microscope slides and are compatible with a range of hybridization, washing and scanning instrumentation. NimbleGen provides a complete user’s guide to support customers with sample processing, array hybridization, scanning, data extraction, and analysis. Please contact NimbleGen for a list of required equipment and reagents. NimbleGen provides NimbleScan™ and SignalMap™ software to ChIP-chip array delivery customers, which enables the same data analysis and visualization to be performed as in the full service mode. NimbleGen also offers a training program to get you up and running with NimbleGen arrays quickly.
Array Specifications
| Probe Lengths |
50-75mer Probes |
| Total Features |
385,000 (385K) 2.1 million (HD2) |
| Overall Slide Dimensions |
1" x 3" (25 x 75mm) |
| Array Size |
17.4mm x 13mm (385K) 62mm x 14mm (HD2) |
| Feature Size |
16μm x 16μm (385K) 13μm x 13μm (HD2) |
ChIP-chip Array Service (for 385K only)
Another option to access ChIP-chip analysis from NimbleGen is full microarray service. ChIP-chip microarray service consists of the following steps:
- The customer selects a catalog ChIP-chip array design or works with NimbleGen’s Bioinformatics team to create a custom array design. NimbleGen manufactures the array.
- The customer prepares his or her samples, including immunoprecipitation and amplification, according to recommended protocols and ships these samples to NimbleGen. For recommended sample prep protocols, see www.chiponchip.org or the UC Davis Genome Center.
- NimbleGen labels the samples, performs the hybridization, scans the array, extracts the data, and performs a preliminary data analysis.
- The customer receives the raw data, scaled log2-ratio data, peak data, promoter reports mapping peaks to genes, genome annotation, and complete NimbleGen array design documentation. NimbleGen provides its SignalMap™ software for visualizng protein DNA/interactions.
Sample Requirements
| Sample Required |
4μg each IP and control samples (385K) |
| Sample Concentration |
200 ng / μl |
| Hybridization Volume |
15μl (385K) |
Data Delivery and Data Analysis Tools 
Data Delivery
The data delivered with NimbleGen's ChIP-chip service includes:
Data sets are provided in GFF file format for easy data set analysis with the SignalMap data browser software.
Data Analysis Tools
NimbleGen’s NimbleScan™ software for data extraction provides tools specifically developed for detecting regions factor binding/histone modification from ChIP-chip array data. For each array, these tools generate a list of regions enriched by that antibody (peaks) and produce reports that map peaks to specific gene promoters. For more detailed information see the ChIP-chip Microarrays and Services datasheet.
NimbleGen’s SignalMap™ data browser enables you to visually interpret the scaled log2-ratio and peak data generated by NimbleScan. Graphical representation of your data aids the discovery of promoter/enhancer elements, transcription factor binding, and histone modification/replacement, and DNase-I hypersensitivity.
FAQ 
| Hide All Topics Show All Topics |
| Experimental Design |
| Do you have a recommended protocol for front-end sample processing for producing ChIP DNA? |
Yes, the protocol that we currently provide is based off a protcol from the Ren laboratory at UCSD. Customers are free to use whichever protocol they would like, but we highly recommend this protocol due to its reproducibility with ChIP-chip arrays. Please contact NimbleGen Technical Support if you would like the link to this protocol. |
| Does NimbleGen perform front-end sample processing (e.g. IP and amplification)? |
No, NimbleGen is not currently set up to perform contract ChIP-chip experiments for our customers. |
| What is the minimum number of cells required to perform a NimbleGen recommended ChIP-chip experiment? |
The minimum number of cells used for a successful ChIP-chip experiment is approximately 1 x 107. However, ChIP reactions in which abundant molecules are being immunoprecipitated (e.g. histones and RNA polymerase II) require a lesser number of cells for a successful experiment. Remember, if you are starting with less material you would need to adjust all of the volumes and concentrations in each protocol. |
| What is a suitable negative control for ChIP-chip experiments? |
Many of our customers do not use a negative control (e.g. nonspecific IgG antibody), but it is recommended if this is your first experiment with NimbleGen. You will want to have your negative control (IgG) co-hybridized with total DNA (input) in order to avoid a high signal/noise ratio that is often seen when the IgG sample is co-hybridized with the immunoprecipitated sample. |
| What other types of controls are used in a ChIP-chip experiment? |
The most common experimental control used when performing ChIP is an isotope control, such as nonspecific IgG or antibodies against GST or GFP. A potential pitfall in using these controls is that since the antibodies do not immunoprecipitate the nonspecific DNA yield is often very low. The resulting hybridization also tends to be much noisier and can result in many false positives due to amplification of trace amount of nonspecific DNA. Another, yet rare, control that is sometimes performed is a ChIP using uncrosslinked chromatin. However, many researchers prefer to perform ChIP with an antibody against the protein of interest in a cell line where the protein has been depleted (by target genetic deletion or siRNA). Alternatively, a cell line that does not express the protein of interest could be used as a negative control. |
| Is it possible to use more than one antibody when performing ChIP or do you recommend using only one antibody per procedure? |
Yes, many researchers combine multiple antibodies in their ChIP reaction to screen for antibodies that work well. If positive results are observed from this combined antibody approach, one can go back and perform ChIP using individual antibodies against the protein of interest. You can also perform experiments to examine the binding sites for a multi-protein complex by using a pooled sample of antibodies against all subunits of the complex. |
| What types of beads should I use to capture the immunoprecipitated DNA? |
There are two competing platforms for ChIP based on what type of beads one uses for immunoprecipitation: agarose protein-A/protein-G beads or magnetic latex immunoglobulin beads. Due to the inherent porosity of the agarose beads, a significant amount of nonspecific DNA binding is observed and consequently a much higher ChIP DNA yield than with magnetic latex beads. Some researchers have claimed that they observe good ChIP results without amplification using agarose beads. However, we recommend magnetic beads because we believe these beads will give much cleaner results. |
| What should I use as a reference sample? |
The majority of our customers use total (input) sample as a reference. Using a nonspecific IgG sample is not a suitable reference. |
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| Array Design |
| Are the probes designed from both strands? |
No, NimbleGen only designs probes based off of the forward strand. |
How does NimbleGen address repetitive elements in the genome for
ChIP-chip designs? |
When available, we utilize conventional repeat masking, as done by the RepeatMasker program http://www.repeatmasker.org/). However, NimbleGen has no access to the repeat libraries necessary to perform this application, so we rely on third parties to supply this type of masked sequence. However, we find that RepeatMasker is often overly aggressive and can mask 50%-55% of human DNA sequence. We have developed our own method of repeat masking which is dependent on the mean frequency of the 15mers which make up each 50mer oligo. A table is made of the count of all 15mers that appear in the genome, from both strands. Then a 15mer window is slid along each oligo, looking up the count of each 15mer in the table, and calculating the average count. A threshold is set, usually 100 for large eukaryotic genomes, and any probe that exceeds that threshold is eliminated from further consideration. Depending on the region of the genome being evaluated, approximately 20-25% of the DNA is excluded. A similar technique is used by other groups. See the following paper for reference: Bioinformatics. 2006 Jan 15;22(2):134-41. WindowMasker: window-based masker for sequenced genomes; Morgulis A, Gertz EM, Schaffer AA, Agarwala R; National Center for Biotechnology Information, National Institutes of Health, Department of Health and Human Services Building 38A, Room 1003N, 8600 Rockville Pike, Bethesda, MD 20894, USA. |
| Why do you use 100bp spacing in ChIP-chip designs? |
Our reseach/development staff has performed experiments in which human probe spacing is varied; they observe a much poorer signal/noise ratio as well as a dramatic increase in the number of false positives when spacing is greater than 100-120 bp. |
| What spacing do you recommend for ChIP-chip designs? |
We recommend probe spacing of 100bp or less. |
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| Sample Processing |
| How much IP sample should be expected prior to the amplification step? |
The amount of IP sample obtained truly depends on the antibody quality and amount of starting material. A standard ChIP reaction yields DNA fragments in the range of ~100ng. |
| Do I need to amplify my ChIP samples? |
Whole genome amplification (WGA) or ligation mediated-PCR (LM-PCR) needs to performed when there is less than 4µg ChIP DNA. |
| What method should I use to amplify my ChIP samples? |
Past and present NimbleGen ChIP-chip customers have had very good experiences working with the Sigma WGA kit (#WGA2-50RXN). The WGA method seems to be easier and the quality of the amplified DNA is quite good. Many customers find that it is difficult to get LM-PCR to work well. For those that are just beginning ChIP-chip studies, we recommend WGA. |
| What yield should I expect from LM-PCR? |
A standard ChIP reaction yields less than 100ng DNA. After one round of LM-PCR amplification that yield can increase to a few micrograms. If more DNA is needed, a second round of amplification can be performed. |
| Does LM-PCR cause bias in the sample? |
We have found that there tends to be more bias with samples amplified by LM-PCR when compared to WGA. We recommend running the amplified DNA on an agarose gel to check for the presence of multiple DNA bands, which indicates that the sample is of poor quality. Generally, DNA amplified by WGA gives a smear rather than multiple bands. |
| Can I use T7 amplification for generating ChIP DNA? |
Yes, but we have found that customers need to adequately remove all RNA and protein from the sample. T7 amplified samples frequently arrive at NimbleGen with RNA and protein contamination, which results in low labeling yields and subsequently less than adequate amounts of labeled sample to perform an array hybridization. |
| Why does NimbleGen use 7mer primers for short fragment labeling? |
We use 7mer primers because they seem to be much more efficient at labeling short DNA fragments (<200 bp). We consistently have trouble obtaining adequate yields for short DNA fragments when using 9mer primers. |
| What is the difference between 7mer and 9mer labeling for the same samples if it is above 200bp? |
We are still unclear on the differences between 7mer and 9mer sample labeling for larger DNA fragments. We are in the process of running experiments to test for any differences. Preliminary data has shown that the differences are quite small. |
| Will all ChIP DNA eventually be labeled using 7mer primers? |
Labeling ChIP DNA using exclusively 7mer random primers is a possibility. We are in the process of validating 7mer labeling for ChIP-chip. As of now, all ChIP samples should still be labeled using 9mers. |
| What is the expected yield from labeling reactions? |
One microgram each of IP and total sample are labeled with Cy5 or Cy3, respectively, using a 9mer primer. Our labeling procedure yields 28µg +/- 10µg for ChIP-chip samples. Samples <200bp yield an average of 10µg per labeling reaction. |
| Which dye should I use for my experimental and reference sample? |
We normally label the total sample (input) with Cy3 and the IP sample with Cy5. In the case that you would want to perform a dye swap experiment, you would label total sample (input) with Cy5 and the IP sample with Cy3. |
| Do I need to order another chip if I am going to perform dye swaps or co-hybridize DNA immunoprecipitated using a nonspecific antibody control? |
Yes, to perform a dye swap or co-hybridize DNA immunoprecipitated using a nonspecific antibody control you would need to order additional chips. |
|
| Sample Requirements |
| What are the sample requirements for ChIP-chip? |
We require 4µg DNA at a concentration of 250-500ng/µl with the majority of fragments greater than 200bp. The A260/A280 ratio should be at least 1.7 and the A260/A230 ratio should be at least 1.6. |
| What is the normal ChIP-chip fragment size? What if my fragments are smaller? |
DNA shearing from a typical ChIP experiment yields 200-1000bp fragments. If the majority of DNA fragments are below 200bp, NimbleGen will have difficulty obtaining adequate labeling yields and hence may not have sufficient material to hybridize to the arrays. However, if your fragments are between 100-1000bp, with the majority of fragments >200bp, than your samples should work well. |
| How much ChIP DNA do I need to supply if I order the 10 array set? |
The 10 array set requires approximately 65µg DNA. For a more economical choice for analzying whole genome protein/DNA interactions, you can use the 4 array set (human and mouse), which requires at least 26µg DNA. |
| What if my sample concentration or yield is less then required? |
If your sample does not meet our QC requierments you will be contacted by NimbleGen for replacement samples. If you are unable to supply replacements you still have the option of proceeding with the experiment; however, there may be extra charges attached to this sample and the success of your experiment will not be guaranteed. |
|
| Data Analysis |
| Does NimbleGen normalize ChIP-chip data? |
No, there is no normalization of ChIP-chip data. However, we do scale the GFF files by subtracting the bi-weight mean for the log-ratio values from each log-ratio value. |
| Does NimbleGen scale ChIP-chip data? |
Yes, NimbleGen scales the ratios in the .gff files by subtracting the bi-weight mean for the log-ratio values from each log-ratio value. If you would like more information about how to calculate a Tukey bi-weight mean scaling please go to Bi-Weight Scale. |
| Why does NimbleGen use Tukey's biweight function for scaling ChIP-chip data? |
RMA looks at all the arrays in a set and normalizes the data for all the arrays. ChIP-chip is a two color array with the reference on the array and is therefore thought of as a stand alone experiment. RMA is not an appropriate analysis for ChIP chip data. The Tukey biweight function is used to account for differences in the dyes on the array, whereas RMA is used to account for differences between arrays so that the chips can be compared. |
| Are there any statistical tests that are applied to my ChIP-chip data? |
Yes, we determine the false discovery rate (FDR) for each peak identified from the scaled log2-ratio data. First the scaled log2-ratio data is analyzed to identify peaks above a specified cutoff value. Assume we find 20 peaks that are above this cutoff value; the scaled log2-ratio data is then randomized 20 different times and after each permutation it is determined how many peaks are still above the cutoff value. So, if after randomizing the data 20 times we find that there are 2 peaks above the cutoff value, the FDR is 10% (which is a reasonably good FDR value). FDR values can differ depending on the peak height and number of probes comprising the peak. On SignalMap, the peaks will be color coded corresponding to FDR value for quick identification of statistically significant peaks. |
| Other than the pair files, does NimbleGen supply any other raw data files? |
No, pair files are the only raw data files that NimbleGen includes in delivered ChIP-chip data. |
| What are the background measurements for a ChIP-chip array? |
For any ChIP-chip array, the signal is a mix of non-specific signal, “background”, and specific signal. The information given from random probes do not represent true background measurements, but rather non-specific binding events. Currently, we do not calculate background. |
| Is there another way to analyze ChIP-chip data? |
Yes, the following five sites have been developed to analyze ChIP-chip data.
1. M-peak: Nature. 2005 436(7052):876-80
2.TAMALPAIS Server: 2006 Genome Research 16:595.
3.ACME (in R language): Methods Enzymol. 2006;411:270-82.
4.ChIPOTle: Genome Biology 2005, 6:R97. For the Perl version go to ChIPOTle Peak Finder
5.Model-based Analysis of 2-Color Arrays MA2C. |
|
| Deliverables |
| Can I get the images for my data? |
Yes, we can supply you with the raw data array images (.tif) upon request. Scaled log2-ratio data (.gff) files and peak (.gff) files are included in your deliverable data along with the visualization software SignalMap. |
| Can I get a graphical representation of all probes for a cataloged design that I am intersted in so I can see what regions of the genome have coverage? |
Yes, we can generate this information in GFF format for all of catalog designs. You will need a copy of SignalMap to view the GFF files. |
| Does NimbleGen generate reports listing the most significant binding/modification events for my ChIP-chip experiment? |
Yes, we are including two promoter reports that map the peaks from your ChIP-chip data relative to the transcription start site of a gene. For instance, if a peak is called within the promoter region of a gene, the report will give the approximate location of the peak as a negative position (upstream of the start site) or positive position (downstream). Also included are accession number of the gene, gene ID, chromosome position, among others. These reports will help narrow down the genomic regions you should be looking at when moving forward to validate your ChIP-chip data (e.g. gel mobility shift assay). |
|
| Capabilities |
| Do we support data analysis for nucleosome mapping? |
Yes, we currently support data analysis for nucleosome mapping. We plan to release a nucleosome-chip product next year, which will include a fully optimized design and data analysis. |
| What if a customer has non-nucleosome samples that have an average length of <200bp? |
If non-nucleosome samples are <200bp, we utilize 7mer random primers to label DNA. However, at this time such samples will be marked as “at risk” because there has not been sufficient validation using 7mers for non-nucleosome samples. |
| Can I use NimbleGen ChIP-chip to map DNase I hypersensitive sites? |
Yes, NimbleGen ChIP-chip arrays can be used to map DNase I hypersensitive sites. A manuscript by Crawford et al. (2006. Nature Methods. 3:503-509) describes the use of NimbleGen tiled arrays to map hypersensitive sites. Other manuscripts mapping hypersensitive sites using NimbleGen arrays include: Sabo et al. (2006. Nature Methods. 3:511-518) and Follows et al. (2006. Genome Research. 16:1310-1319). |
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HD2 Promoter Tiling Arrays 
General Array Specs
Probe Length: 50-75mer
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
Organism: Homo sapiens *
Source: UCSC Build: HG18 |
| Catalog Number |
Design |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
Number of CpG Islands |
miRNA Promoters |
| C7291-00-01 |
HG18 Deluxe Promoter HX1 |
7250 |
3250 |
28226 |
475 (-15kb through mature transcript) |
| * Array includes probes tiling through biologically significant ENCODE regions (HoxA, β-globin, Apo, among others) |
Organism: Mus musculus Source: UCSC Build: MM8 |
| Catalog Number |
Design |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
Number of CpG Islands |
miRNA Promoters |
| C7244-00-01 |
MM8 Deluxe Promoter HX1 |
8200 |
3000 |
15963 |
249 (-20kb to 1kb) |
385K Promoter Tiling Arrays 
General Array Specs
Probe Length: 50-75mer
Platform: 385K
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Size: 17.4mm x 13mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Desiccated at room temperature. |
Organism: Arabidopsis thaliana Source: NCBI Build: TAIR6.0 Median Probe Spacing 102bp |
| Catalog Number |
Design Name |
Description |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
| C4499001-00-01 |
ATH6 min promoter |
Minimum Promoter Array Design |
1200 |
300 |
| C4496001-00-01 |
ATH6 promoter |
2-Array Set |
3000 |
750 |
| C4497001-01-01 |
ATH6 promoter 1 of 2 |
Array 1 of 2 |
3000 |
750 |
| C4498001-02-01 |
ATH6 promoter 2 of 2 |
Array 2 of 2 |
3000 |
750 |
Organism: Homo sapiens Source: UCSC Build: HG18 Median Probe Spacing: 100bp |
| Catalog Number |
Design Name |
Description |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
| C4229-00-01 |
HG18 RefSeqXM promoter |
|
9000 |
2000 |
| C4540-SET-01 |
HG18 promoter |
2-Array Set |
3500 |
750 |
| C4540-01-01 |
HG18 promoter 1 of 2 |
Array 1 of 2 |
3500 |
750 |
| C4540-02-01 |
HG18 promoter 2 of 2 |
Array 2 of 2 |
3500 |
750 |
| C4226-00-01 |
HG18 RefSeq promoter |
|
2200 |
500 |
Organism: Mus Musculus Source: UCSC Build: MM8 Median Probe Spacing 100bp |
| Catalog Number |
Design Name |
Description |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
| C4225-00-01 |
MM8 RefSeqXM promoter |
|
7000 |
2000 |
| C3845-SET-02 |
MM8 promoter |
2-Array Set |
3250 |
750 |
| C3845-01-02 |
MM8 promoter 1 of 2 |
Array 1 of 2 |
3250 |
750 |
| C3845-02-02 |
MM8 promoter 2 of 2 |
Array 2 of 2 |
3250 |
750 |
| C4222-00-01 |
MM8 RefSeq promoter |
|
2000 |
500 |
Organism: Rattus norvegicus Source: Ensembl Build: RGSC 3.4 Median Probe Spacing: 105bp |
| Catalog Number |
Design Name |
Description |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
| C4492001-00-01 |
RN34 promoter |
2-Array Set |
4500 |
1125 |
| C4493001-01-01 |
RN34 promoter 1 of 2 |
Array 1 of 2 |
4500 |
1125 |
| C4494001-02-01 |
RN34 promoter 2 of 2 |
Array 2 of 2 |
4500 |
1125 |
| C4495001-00-01 |
RN34 RefSeq promoter |
|
2250 |
500 |
HD2 Whole-Genome Tiling Arrays 
| Caenorhabditis elegans |
Source: UCSC
Build: CE180
Probe Length: 50-75mer
Median Probe Spacing: 40bp
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C6781-00-01 |
CE180 Tiling Set HX1 |
Array 1 of 1 |
chr I |
489 |
15,072,205 |
| chr II |
321 |
15,279,085 |
| chr III |
126 |
13,783,367 |
| chr IV |
285 |
17,492,284 |
| chr V |
331 |
20,919,326 |
| chr X |
251 |
17,718,642 |
|
| Drosophila melanogaster |
Source: UCSC
Build: DM5
Probe Length: 50-75mer
Median Probe Spacing: 55bp
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C7245-00-01 |
DM5 Tiling Set HX1 |
Array 1 of 1 |
chr 2L |
5131 |
23,011,180 |
| chr2Lhet |
2,538 |
367,898 |
| chr 2Rhet |
11 |
3,288,675 |
| chr 2R |
3036 |
21,146,403 |
| chr 3L |
19,811 |
24,541,069 |
| chr 3Lhet |
231 |
2,555,369 |
| chr 3R |
6 |
27,898,700 |
| chr 3Rhet |
1 |
2,517,409 |
| chr 4 |
1 |
1,347,833 |
| chr M |
6 |
19,373 |
| chr U |
2,051 |
10,048,502 |
| chr X |
116 |
22,422,248 |
| chr Xhet |
666 |
203,681 |
| chr Yhet |
1 |
346,895 |
|
|
Homo sapiens |
Source: UCSC
Build: HG18
Probe Length: 50-75mer
Median Probe Spacing: 100bp
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C7257-SET-01 |
HG18Tiling Set HX1 |
10 Array Set |
Whole Genome 10-Array Set |
|
|
| C7246-00-01 |
HG18Tiling Set 1 HX1 |
Array 1 of 10 |
chr1 |
505 |
247,195,005 |
| chr2 |
321 |
60,027,826 |
| C7247-00-01 |
HG18Tiling Set 2 HX1 |
Array 2 of 10 |
chr2 |
6,002,792 |
242,951,119 |
| chr3 |
35,001 |
106,782,710 |
| C7248-00-01 |
HG18Tiling Set 3 HX1 |
Array 3 of 10 |
chr3 |
106,782,825 |
199,501,827 |
| chr4 |
216 |
191,273,063 |
| chr5 |
64,925 |
2,304,112 |
| C7249-00-01 |
HG18Tiling Set 4 HX1 |
Array 4 of 10 |
chr5 |
2,304,217 |
180,857,866 |
| chr6 |
5,001 |
111,919,925 |
| C7250-00-01 |
HG18Tiling Set 5 HX1 |
Array 5 of 10 |
chr6 |
111,920,005 |
170,899,992 |
| chr7 |
49,317 |
158,821,424 |
| chr8 |
521 |
74,730,105 |
| C7251-00-01 |
HG18Tiling Set 6 HX1 |
Array 6 of 10 |
chr8 |
74,730,205 |
146,274,826 |
| chr9 |
516 |
140,273,252 |
| chr10 |
1,773,517 |
101,402,412 |
| C7253-00-01 |
HG18Tiling Set 7 HX1 |
Array 7 of 10 |
chr10 |
101,402,517 |
135,374,737 |
| chr11 |
62,725 |
134,452,384 |
| chr12 |
17,426 |
121,385,801 |
| C7254-00-01 |
HG18Tiling Set 8 HX1 |
Array 8 of 10 |
chr12 |
121,385,901 |
132,349,534 |
| chr13 |
17,918,026 |
114,142,980 |
| chr14 |
18,070,206 |
106,368,585 |
| chr15 |
18,260,026 |
100,338,915 |
| chr16 |
23 |
6,248,313 |
| C7255-00-01 |
HG18Tiling Set 9 HX1 |
Array 9 of 10 |
chr16 |
62,48,403 |
88,827,254 |
| chr17 |
16 |
78,774,742 |
| chr18 |
623 |
76,117,153 |
| chr19 |
11,316 |
63,811,651 |
| chr20 |
8,016 |
16,260,605 |
| C7256-00-01 |
HG18Tiling Set 10 HX1 |
Array 10 of 10 |
chr20 |
16,260,705 |
62,435,704 |
| chr21 |
9,720,013 |
46,944,102 |
| chr22 |
14,430,026 |
49,590,821 |
| chrX |
112 |
154,912,711 |
| chrY |
112 |
57,771,911 |
| chr1 random |
721 |
1,663,126 |
| chr2 random |
21 |
185,401 |
| chr3 random |
16 |
749,118 |
| chr4 random |
16 |
842,224 |
| chr5 random |
11 |
143,119 |
| chr6 random |
26 |
1,875,407 |
| chr7 random |
101 |
549,124 |
| chr8 random |
16 |
943,723 |
| chr9 random |
402 |
1,146,305 |
| chr10 random |
6 |
112,020 |
| chr11 random |
26 |
214,804 |
| chr13 random |
6 |
186,723 |
| chr15 random |
1 |
784,221 |
| chr16 random |
6 |
105,409 |
| chr17 random |
26 |
2,617,303 |
| chr18 random |
16 |
4,126 |
| chr19 random |
701 |
301,702 |
| chr21 random |
1 |
1,679,604 |
| chr22 random |
21 |
256,508 |
| chrX random |
6 |
1,718,603 |
|
| Homo sapiens - Economy |
Source: UCSC
Build: HG18
Probe Length: 50-75mer
Median Probe Spacing: 205bp
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C7262-SET-01 |
HG18 ECONOMY Tiling Set HX1 |
4 Array Set |
Whole Genome 4-Array Set |
|
|
| C7258-00-01 |
HG18 ECONOMY Tiling Set 1 HX1 |
Array 1 of 4 |
chr1 |
1,313 |
247,195,565 |
| chr1 random |
1,611 |
1,662,469 |
| chr2 |
2,201 |
242,751,149 |
| chr2 random |
21 |
185,571 |
| chr3 |
35,003 |
199,434,305 |
| chr3 random |
1 |
749,178 |
| ch4 |
6,126 |
44,383,123 |
| C7259-00-01 |
HG18 ECONOMY Tiling Set 2 HX1 |
Array 2 of 4 |
chr4 |
44,382,481 |
191,260,303 |
| chr4 random |
1 |
842,414 |
| chr5 |
64,884 |
180,837,023 |
| chr5 random |
230 |
141,377 |
| chr6 |
5,003 |
170,896,992 |
| chr6 random |
443 |
1,875,467 |
| chr7 |
34,003 |
158,821,318 |
| chr7 random |
68 |
547,255 |
| chr8 |
1 |
72,911,264 |
| C7260-00-01 |
HG18 ECONOMY Tiling Set 3 HX1 |
Array 3 of 4 |
chr8 |
72,910,390 |
146,273,068 |
| chr8 random |
621 |
943,633 |
| chr9 |
1,577 |
140,269,382 |
| chr9 random |
1,152 |
1,146,350 |
| chr10 |
50,003 |
135,372,404 |
| chr10 random |
1 |
113,198 |
| chr11 |
50,003 |
134,450,777 |
| chr11 random |
1 |
214,910 |
| chr12 |
17,432 |
132,289,534 |
| chr13 |
17,918,003 |
114,127,903 |
| chr13 random |
1 |
186,321 |
| chr14 |
18,126,854 |
41,598,996 |
| C7261-00-01 |
HG18 ECONOMY Tiling Set 4 HX1 |
Array 4 of 4 |
chr14 |
41,599,466 |
106,360,585 |
| chr15 |
18,303,913 |
100,337,245 |
| chr15 random |
1 |
784,131 |
| chr16 |
1,145 |
88,820,562 |
| chr16 random |
487 |
105,389 |
| chr17 |
1 |
78,654,674 |
| chr17 random |
1 |
2,617,421 |
| chr18 |
1,148 |
76,116,178 |
| chr18 random |
1 |
4,020 |
| chr19 |
11,003 |
63,806,013 |
| chr19 random |
8,248 |
301,762 |
| chr20 |
8,003 |
62,432,795 |
| chr21 |
9,734,029 |
46,941,590 |
| chr21 random |
1 |
1,679,594 |
| chr22 |
14,430,003 |
49,590,901 |
| chr22 random |
1 |
256,573 |
| chrM |
1 |
16,340 |
| chrX |
449 |
154,911,455 |
| chrX random |
1 |
1,718,581 |
| chrY |
449 |
57,770,655 |
|
| Mus musculus |
Source: UCSC
Build: MM8
Probe Length: 50-75mer
Median Probe Spacing: 100bp
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C7273-SET-01 |
MM8Tiling Set HX1 |
10 Array Set |
Whole Genome 10-Array Set |
|
|
| C7263-00-01 |
MM8Tiling Set 1 HX1 |
Array 1 of 10 |
chr1 |
3,000,001 |
197,069,505 |
| chr1 random |
122 |
172,060 |
| chr2 |
3,006,249 |
65,850,316 |
| C7264-00-01 |
MM8Tiling Set 2 HX1 |
Array 2 of 10 |
chr2 |
65,850,426 |
181,926,682 |
| chr3 |
3,000,001 |
143,307,173 |
| C7265-00-01 |
MM8Tiling Set 3 HX1 |
Array 3 of 10 |
chr3 |
143,307,273 |
159,871,956 |
| chr4 |
3,006,417 |
155,029,602 |
| chr5 |
3,000,001 |
92,685,503 |
| C7266-00-01 |
MM8Tiling Set 4 HX1 |
Array 4 of 10 |
chr5 |
92,685,618 |
152,002,850 |
| chr5 random |
26 |
2,921,095 |
| chr6 |
3,000,001 |
149,525,609 |
| chr7 |
3,000,201 |
56,647,386 |
| C7267-00-01 |
MM8Tiling Set 5 HX1 |
Array 5 of 10 |
chr7 |
54,647,476 |
145,133,950 |
| chr7 random |
141 |
243,809 |
| chr8 |
3,000,026 |
132,084,963 |
| chr8 random |
16 |
206,850 |
| chr9 |
3,000,026 |
40,163,952 |
| C7268-00-01 |
MM8Tiling Set 6 HX1 |
Array 6 of 10 |
chr9 |
40,164,052 |
124,000,522 |
| chr9 random |
26 |
16,954 |
| chr10 |
3,000,218 |
129,957,189 |
| chr10 random |
26 |
10,495 |
| chr11 |
3,000,001 |
41,900,738 |
| C7269-00-01 |
MM8Tiling Set 7 HX1 |
Array 7 of 10 |
chr11 |
41,900,844 |
121,798,365 |
| chr12 |
3,000,001 |
120,463,003 |
| chr13 |
3,001,721 |
55,855,799 |
| C7270-00-01 |
MM8Tiling Set 8 HX1 |
Array 8 of 10 |
chr13 |
55,855,898 |
120,614,219 |
| chr13 random |
6 |
436,079 |
| chr14 |
3,001,139 |
123,976,001 |
| chr15 |
3,000,001 |
76,463,380 |
| C7271-00-01 |
MM8Tiling Set 9 HX1 |
Array 9 of 10 |
chr15 |
76,463,500 |
103,492,425 |
| chr15 random |
16 |
105,806 |
| chr16 |
3,000,056 |
98,252,277 |
| chr17 |
3,000,001 |
95,177,318 |
| chr17 random |
51 |
88,976 |
| chr18 |
3,000,001 |
40,478,067 |
| C7272-00-01 |
MM8Tiling Set 10 HX1 |
Array 10 of 10 |
chr18 |
40,478,152 |
90,736,262 |
| chr19 |
3,000,156 |
61,321,048 |
| chrM |
26 |
16,224 |
| chrUn random |
126 |
1,539,898 |
| chrX |
3,000,026 |
165,555,977 |
| chrX random |
326 |
39,548 |
| chrY |
6 |
2,729,267 |
| chrY random |
6,484 |
14,577,549 |
|
| Mus musculus - Economy |
Source: UCSC
Build: MM8
Probe Length: 50-75mer
Median Probe Spacing: 203bp
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C7278-SET-01 |
MM8 ECONOMY Tiling Set HX1 |
4 Array Set |
Whole Genome 4-Array Set |
|
|
| C7274-00-01 |
MM8 ECONOMY Tiling Set 1 HX1 |
Array 1 of 4 |
chr1 |
3,000,159 |
197,066,856 |
| chr1 random |
104 |
172,149 |
| chr2 |
3,006,248 |
181,926,726 |
| chr3 |
3,000,003 |
159,872,112 |
| chr4 |
3,006,469 |
119,314,705 |
| C7275-00-01 |
MM8 ECONOMY Tiling Set 2 HX1 |
Array 2 of 4 |
chr4 |
119,312,724 |
155,029,701 |
| chr5 |
3,004,823 |
152,002,929 |
| chr5 random |
357 |
2,921,247 |
| chr6 |
3,000,003 |
149,525,594 |
| chr7 |
3,002,500 |
145,134,020 |
| chr7 random |
830 |
243,836 |
| chr8 |
3,001,012 |
132,084,168 |
| ch8 random |
335 |
206,961 |
| chr9 |
3,038,422 |
39,288,818 |
| C7276-00-01 |
MM8 ECONOMY Tiling Set 3 HX1 |
Array 3 of 4 |
chr9 |
39,287,970 |
123,999,613 |
| chr9 random |
1 |
16,784 |
| chr10 |
3,002,173 |
129,952,335 |
| chr10 random |
1 |
10,556 |
| chr11 |
3,005,469 |
121,798,411 |
| chr12 |
3,000,003 |
120,463,159 |
| chr13 |
3,002,645 |
120,614,378 |
| chr13 random |
513 |
436,191 |
| chr14 |
3,000,285 |
57,853,012 |
| C7277-00-01 |
MM8 ECONOMY Tiling Set 4 HX1 |
Array 4 of 4 |
chr14 |
57,850,947 |
123,975,935 |
| chr15 |
3,002,688 |
103,492,224 |
| chr15 random |
1 |
105,932 |
| chr16 |
3,001,531 |
98,252,333 |
| chr17 |
3,000,003 |
95,177,217 |
| chr17 random |
61 |
88,403 |
| chr18 |
3,000,971 |
90,736,071 |
| chr19 |
3,000,196 |
61,321,190 |
| chrM |
1 |
16,299 |
| chrUn random |
565 |
1,539,866 |
| chrX |
3,007,929 |
165,556,094 |
| chrX random |
3,484 |
39,696 |
| chrY |
151 |
2,729,286 |
| chrY random |
6,494 |
14,577,732 |
|
| Rattus norvegicus |
Source: UCSC
Build: RN34
Probe Length: 50-75mer
Median Probe Spacing: 100bp
Platform: HD2
Probes per Array: 2,100,000
Feature Size: 13μm x 13μm
Array Dimensions: 62mm x 14mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm)
Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C7290-SET-01 |
RN34Tiling Set HX1 |
10 Array Set |
Whole Genome 10-Array Set |
|
|
| C7279-00-01 |
RN34Tiling Set 1 HX1 |
Array 1 of 10 |
chr1 |
1 |
267,910,774 |
| chr1 random |
1 |
3,884,837 |
| chr2 |
26 |
13,557,674 |
| C7281-00-01 |
RN34Tiling Set 2 HX1 |
Array 2 of 10 |
chr2 |
13,557,774 |
258,200,598 |
| chr2 random |
26,460 |
4,341,770 |
| chr3 |
176 |
34,210,905 |
| C7282-00-01 |
RN34Tiling Set 3 HX1 |
Array 3 of 10 |
chr3 |
34,211,015 |
171,063,124 |
| chr3 random |
5,681 |
1,719,288 |
| chr4 |
171 |
133,406,152 |
| C7283-00-01 |
RN34Tiling Set 4 HX1 |
Array 4 of 10 |
chr4 |
133,406,273 |
187,125,435 |
| chr4 random |
341 |
2,119,523 |
| Chr5 |
3,947 |
173,096,030 |
| Chr5 random |
31 |
2,145,029 |
| Chr6 |
5,546 |
46,956,292 |
| C7284-00-01 |
RN34Tiling Set 5 HX1 |
Array 5 of 10 |
Chr6 |
46,956,377 |
147,630,631 |
| Chr6 random |
26 |
1,765,697 |
| Chr7 |
6,147 |
143,002,565 |
| Chr7 random |
136 |
1,172,477 |
| Chr8 |
126 |
29,013,150 |
| C7285-00-01 |
RN34Tiling Set 6 HX1 |
Array 6 of 10 |
Chr8 |
29,013,250 |
129,041,601 |
| Chr8 random |
62 |
886,901 |
| Chr9 |
3,248 |
113,440,328 |
| Chr9 random |
194 |
1,163,513 |
| chr10 |
1 |
48,202,137 |
| C7286-00-01 |
RN34Tiling Set 7 HX1 |
Array 7 of 10 |
chr10 |
48,202,262 |
110,718,677 |
| chr10 random |
2 |
869,685 |
| chr11 |
5,218 |
87,757,579 |
| chr11 random |
26 |
1,273,526 |
| chr12 |
531 |
46,782,101 |
| chr12 random |
7,324 |
947,965 |
| chr13 |
16 |
74,362,754 |
| C7287-00-01 |
RN34Tiling Set 8 HX1 |
Array 8 of 10 |
chr13 |
74,362,854 |
111,151,339 |
| chr13 random |
26 |
608,244 |
| chr14 |
1,887 |
112,193,818 |
| chr14 random |
12 |
1,824,996 |
| chr15 |
666 |
109,757,551 |
| chr15 random |
2 |
1,605,910 |
| chr16 |
6 |
14,661,336 |
| C7288-00-01 |
RN34Tiling Set 9 HX1 |
Array 9 of 10 |
chr16 |
14,661,446 |
90,232,174 |
| chr16 random |
1 |
1,399,983 |
| chr17 |
7 |
97,295,476 |
| chr17 random |
3,168 |
613,253 |
| chr18 |
873 |
87,261,725 |
| chr18 random |
46 |
594,412 |
| chr19 |
21 |
15,708,114 |
| C7289-00-01 |
RN34Tiling Set 10 HX1 |
Array 10 of 10 |
chr19 |
15,708,224 |
59,213,078 |
| chr19 random |
5,698 |
977,657 |
| Chr20 |
26 |
55,263,625 |
| Chr20 random |
1 |
592,543 |
| chrM |
26 |
16,211 |
| chrX |
12 |
160,699,113 |
| chrX random |
266 |
1,977,439 |
|
385K Whole-Genome Tiling Arrays 
| Arabidopsis thaliana |
Source: NCBI
Build: TAIR6.0
Probe Length: 50mer
Median Probe Spacing: 90bp
Accession Numbers: NC_003070,NC_003071, NC_003074,NC_003075,NC_003076
Platform: 385K
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Dimensions: 17.4mm x 13mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm) Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C4348001-SET-01 |
ATH6 ChIP |
3 Array Set |
Whole Genome Tiling 3-Array Set |
|
|
| C4348001-01-01 |
ATH6 ChIP 1 |
Array 1 of 3 |
chr1 |
106 |
30,432,534 |
| |
|
|
chr2 |
1,001 |
9,687,876 |
| C4348001-02-01 |
ATH6 ChIP 2 |
Array 2 of 3 |
chr2 |
9,687,916 |
19,704,755 |
| |
|
|
chr3 |
1 |
23,470,742 |
| |
|
|
chr4 |
1,001 |
6,133,069 |
| C4348001-03-01 |
ATH6 ChIP 3 |
Array 3 of 3 |
chr4 |
6,133,109 |
18,584,924 |
| |
|
|
chr5 |
1 |
26,992,695 |
|
| Caenorhabditis elegans |
Source: UCSC
Build: CE2 Probe Length: 50mer
Median Probe Spacing: 86bp
Platform: 385K
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Dimensions: 17.4mm x 13mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm) Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C4533-SET-01 |
C elegans ChIP |
3 Array Set |
Whole Genome Tiling 3 Array Set |
|
|
| C4533-01-01 |
C elegans ChIP01 |
Array 1 of 3 |
chrI |
1 |
15,080,469 |
| |
|
|
chrII |
1 |
15,279,267 |
| |
|
|
chrIII |
1 |
3,178,860 |
| C4533-02-01 |
C elegans ChIP02 |
Array 2 of 3 |
chrIII |
3,178,896 |
13,783,302 |
| |
|
|
chrIV |
1 |
17,493,781 |
| |
|
|
chrM |
1 |
13,738 |
| |
|
|
chrV |
1 |
5,341,967 |
| C4533-03-01 |
C elegans ChIP03 |
Array 3 of 3 |
chrV |
5,342,003 |
20,922,215 |
| |
|
|
chrX |
1 |
17,718,822 |
|
| Canis familiaris |
Source: UCSC
Build: canFam2
Probe Length: 50mer
Median Probe Spacing: 100bp
Platform: 385K
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Dimensions: 17.4mm x 13mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm) Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C4529-SET-01 |
canFam2Tiling Set |
37 Array Set |
Whole Genome Tiling 37-Array Set |
|
|
| C4529-01-01 |
canFam2Tiling Set 1 |
Array 1 of 37 |
chr1 |
3,012,394 |
62,278,628 |
| C4529-02-01 |
canFam2Tiling Set 2 |
Array 2 of 37 |
chr1 |
62,278,678 |
125,616,165 |
| |
|
|
chr2 |
3,000,001 |
5,603,265 |
| C4529-03-01 |
canFam2Tiling Set 3 |
Array 3 of 37 |
chr2 |
5,603,315 |
69,134,091 |
| C4529-04-01 |
canFam2Tiling Set 4 |
Array 4 of 37 |
chr2 |
69,134,594 |
88,407,229 |
| |
|
|
chr3 |
3,000,001 |
48,179,151 |
| C4529-05-01 |
canFam2Tiling Set 5 |
Array 5 of 37 |
chr3 |
48,179,201 |
94,714,891 |
| |
|
|
chr4 |
3,010,521 |
18,819,981 |
| C4529-06-01 |
canFam2Tiling Set 6 |
Array 6 of 37 |
chr4 |
18,820,031 |
81,540,804 |
| C4529-07-01 |
canFam2Tiling Set 7 |
Array 7 of 37 |
chr4 |
81,540,854 |
91,483,852 |
| |
|
|
chr5 |
3,009,839 |
55,204,271 |
| C4529-08-01 |
canFam2Tiling Set 8 |
Array 8 of 37 |
chr5 |
55,204,321 |
91,976,388 |
| |
|
|
chr6 |
3,015,844 |
27,099,882 |
| C4529-09-01 |
canFam2Tiling Set 9 |
Array 9 of 37 |
chr6 |
27,100,060 |
80,642,094 |
| |
|
|
chr7 |
3,000,001 |
12,088,918 |
| C4529-10-01 |
canFam2Tiling Set 10 |
Array 10 of 37 |
chr7 |
12,088,968 |
75,099,510 |
| C4529-11-01 |
canFam2Tiling Set 11 |
Array 11 of 37 |
chr7 |
75,099,560 |
83,999,176 |
| |
|
|
chr8 |
3,003,063 |
58,081,791 |
| C4529-12-01 |
canFam2Tiling Set 12 |
Array 12 of 37 |
chr8 |
58,081,841 |
77,307,274 |
| |
|
|
chr9 |
3,000,001 |
44,485,970 |
| C4529-13-01 |
canFam2Tiling Set 13 |
Array 13 of 37 |
chr9 |
44,486,020 |
64,413,461 |
| |
|
|
chr10 |
3,003,191 |
44,470,365 |
| C4529-14-01 |
canFam2Tiling Set 14 |
Array 14 of 37 |
chr10 |
44,470,415 |
72,488,496 |
| |
|
|
chr11 |
3,002,836 |
38,777,021 |
| C4529-15-01 |
canFam2Tiling Set 15 |
Array 15 of 37 |
chr11 |
38,777,071 |
77,416,425 |
| |
|
|
chr12 |
3,003,326 |
27,657,072 |
| C4529-16-01 |
canFam2Tiling Set 16 |
Array 16 of 37 |
chr12 |
27,657,122 |
75,515,277 |
| |
|
|
chr13 |
3,003,109 |
18,623,175 |
| C4529-17-01 |
canFam2Tiling Set 17 |
Array 17 of 37 |
chr13 |
18,623,225 |
66,182,432 |
| |
|
|
chr14 |
3,005,181 |
19,249,997 |
| C4529-18-01 |
canFam2Tiling Set 18 |
Array 18 of 37 |
chr14 |
19,250,047 |
63,938,183 |
| |
|
|
chr15 |
3,013,266 |
20,943,569 |
| C4529-19-01 |
canFam2Tiling Set 19 |
Array 19 of 37 |
chr15 |
20,943,619 |
67,211,493 |
| |
|
|
chr16 |
3,008,838 |
19,476,430 |
| C4529-20-01 |
canFam2Tiling Set 20 |
Array 20 of 37 |
chr16 |
19,476,480 |
62,570,129 |
| |
|
|
chr17 |
3,000,001 |
20,271,895 |
| C4529-21-01 |
canFam2Tiling Set 21 |
Array 21 of 37 |
chr17 |
20,271,945 |
67,340,432 |
| |
|
|
chr18 |
3,000,001 |
20,419,229 |
| C4529-22-01 |
canFam2Tiling Set 22 |
Array 22 of 37 |
chr18 |
20,419,279 |
58,870,922 |
| |
|
|
chr19 |
3,000,001 |
28,339,210 |
| C4529-23-01 |
canFam2Tiling Set 23 |
Array 23 of 37 |
chr19 |
28,339,260 |
56,771,301 |
| |
|
|
chr20 |
3,000,001 |
37,242,822 |
| C4529-24-01 |
canFam2Tiling Set 24 |
Array 24 of 37 |
chr20 |
37,242,872 |
61,280,721 |
| |
|
|
chr21 |
3,001,882 |
44,745,333 |
| C4529-25-01 |
canFam2Tiling Set 25 |
Array 25 of 37 |
chr21 |
44,745,383 |
54,024,600 |
| |
|
|
chr22 |
3,000,919 |
55,735,714 |
| C4529-26-01 |
canFam2Tiling Set 26 |
Array 26 of 37 |
chr22 |
55,735,764 |
64,394,174 |
| |
|
|
chr23 |
3,000,001 |
55,389,494 |
| |
|
|
chr24 |
3,000,854 |
5,202,800 |
| C4529-27-01 |
canFam2Tiling Set 27 |
Array 27 of 37 |
chr24 |
5,202,850 |
50,763,049 |
| |
|
|
chr25 |
3,000,846 |
21,376,267 |
| C4529-28-01 |
canFam2Tiling Set 28 |
Array 28 of 37 |
chr25 |
21,376,317 |
54,563,572 |
| |
|
|
chr26 |
3,007,786 |
33,257,971 |
| C4529-29-01 |
canFam2Tiling Set 29 |
Array 29 of 37 |
chr26 |
33,258,021 |
42,029,628 |
| |
|
|
chr27 |
3,000,099 |
48,905,266 |
| |
|
|
chr28 |
3,003,108 |
12,569,835 |
| C4529-30-01 |
canFam2Tiling Set 30 |
Array 30 of 37 |
chr28 |
12,569,885 |
44,190,932 |
| |
|
|
chr29 |
3,023,514 |
33,081,560 |
| C4529-31-01 |
canFam2Tiling Set 31 |
Array 31 of 37 |
chr29 |
33,081,610 |
44,828,998 |
| |
|
|
chr30 |
3,000,001 |
43,205,974 |
| |
|
|
chr31 |
3,000,365 |
14,273,595 |
| C4529-32-01 |
canFam2Tiling Set 32 |
Array 32 of 37 |
chr31 |
14,273,645 |
42,262,811 |
| |
|
|
chr32 |
3,000,482 |
38,020,796 |
| C4529-33-01 |
canFam2Tiling Set 33 |
Array 33 of 37 |
chr32 |
38,020,910 |
41,730,743 |
| |
|
|
chr33 |
3,000,001 |
34,424,222 |
| |
|
|
chr34 |
3,000,524 |
29,859,548 |
| C4529-34-01 |
canFam2Tiling Set 34 |
Array 34 of 37 |
chr34 |
29,859,598 |
45,128,234 |
| |
|
|
chr35 |
3,000,157 |
29,533,501 |
| |
|
|
chr36 |
3,001,322 |
22,745,468 |
| C4529-35-01 |
canFam2Tiling Set 35 |
Array 35 of 37 |
chr36 |
22,745,641 |
33,840,292 |
| |
|
|
chr37 |
3,004,135 |
33,915,094 |
| |
|
|
chr38 |
3,016,144 |
20,785,825 |
| C4529-36-01 |
canFam2Tiling Set 36 |
Array 36 of 37 |
chr38 |
20,785,875 |
26,897,637 |
| |
|
|
chrX |
9 |
80,254,721 |
| C4529-37-01 |
canFam2Tiling Set 37 |
Array 37 of 37 |
chrM |
1 |
16,694 |
| |
|
|
chrUn |
28,809 |
86,546,042 |
| |
|
|
chrX |
80,254,771 |
126,883,716 |
|
| Drosophila melanogaster |
Source: UCSC
Build: DM2
Probe Length: 50mer
Median Probe Spacing: 97bp
Platform: 385K
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Dimensions: 17.4mm x 13mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm) Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C4532-SET-01 |
DMEL ChIP Set |
3 Array Set |
Whole Genome Tiling 3-Array Set |
|
|
| C4532-01-01 |
DMEL ChIP Set 1 |
Array 1 of 3 |
chr2L |
155 |
22,403,093 |
| |
|
|
chr2R |
1 |
18,175,156 |
| C4532-02-01 |
DMEL ChIP Set 2 |
Array 2 of 3 |
chr2R |
18,175,203 |
20,766,579 |
| |
|
|
chr2h |
1,769 |
1,693,289 |
| |
|
|
chr3L |
94 |
23,764,120 |
| |
|
|
chr3R |
1 |
13,202,299 |
| C4532-03-01 |
DMEL ChIP Set 3 |
Array 3 of 3 |
chr3R |
13,202,346 |
27,904,842 |
| |
|
|
chr3h |
436 |
2,953,888 |
| |
|
|
chr4 |
1,724 |
1,281,635 |
| |
|
|
chr4h |
2,261 |
88,040 |
| |
|
|
chrM |
1 |
14,774 |
| |
|
|
chrU |
168,223 |
8,721,504 |
| |
|
|
chrX |
10,779 |
22,223,781 |
| |
|
|
chrXh |
3,311 |
358,411 |
| |
|
|
chrYh |
1,862 |
394,283 |
|
| Escherichia coli |
Source: RefSeq
Build: NC_000913.1
Probe Length: 50mer
Median Probe Spacing: 24bp
Platform: 385K
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Dimensions: 17.4mm x 13mm
Overall Slide Dimensions: 1" x 3" (25 x 75mm) Recommended Storage: Store arrays desiccated at room temperature. |
| Catalog Number |
Design Name |
Description |
Chromosome |
Tiling Start |
Tiling Stop |
| C4215-00-01 |
Ecoli K12 ChIP |
Array 1 of 1 |
Whole Genome Tiling Array |
|
|
|
| Gallus gallus |
Source: UCSC
Build: galGal3
Probe Length: 50mer
Median Probe Spacing: 100bp
Platform: 385K
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Dimensions:
| | |