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Roche NimbleGen Systems provides the most sensitive and specific DNA methylation services on the market. The preferred use of MeDIP (methylated DNA immunoprecipitation)1,2,3 or the MIRA (MBD protein) method4,5, coupled with NimbleGen arrays, enable you to rapidly identify methylated regions within a target genome in a high-throughput manner. These arrays allow you to determine promoter and genic DNA methylation within the genome as well as compare differential methylation between cells, tissues, and tumor samples. NimbleGen’s DNA methylation services are becoming increasingly recognized as the platform of choice, with an expanding list of peer-reviewed publications.
- Weber M, et al. Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells.
- Weber M, et al. Distribution, silencing potential and evolutionary impact of promoter DNA methylation in the human genome.
- Zilberman D, et al. Genome-wide analysis of Arabidopsis thaliana DNA methylation uncovers an interdependence between methylation and transcription. [Watch the Zilberman webinar]
- Rauch T, et al. MIRA-Assisted Microarray Analysis, a New Technology for the Determination of DNA Methylation Patterns, Identifies Frequent Methylation of Homeodomain-Containing Genes in Lung Cancer Cells.
- Rauch T, et al. Homeobox gene methylation in lung cancer studied by genome-wide analysis with a microarray-based methylated CpG island recovery assay.
Advantages and Applications 
High-Resolution, High-Throughput Analysis of DNA Methylation
NimbleGen’s current high-density microarrays contain 385,000 probes on a single glass slide, allowing for coverage of up to 40Mb of genomic DNA per array. NimbleGen’s arrays will eventually contain more than 2.1 million probes (HD2) by mid-2008; making high throughput of DNA methylation samples much more realistic. With our 385,000 probe density, the entire non-repetitive human and mouse genomes can be surveyed at 100bp intervals, each with a set of 38 arrays (10 arrays with the introduction of HD2 arrays).
High Sensitivity
In the MeDIP DNA methylation analysis method, genomic DNA samples are immunoprecipitated with an anti-5-methyl-cytidine antibody and compared to control input DNA. The two samples are differentially labeled and hybridized to a single array as a two-color experiment. The intensity ratio of immunoprecipitated to control DNA is plotted versus genomic position to identify regions where increased signal (i.e. DNA fragment enrichment) is observed relative to the control sample. NimbleGen's DNA methylation arrays can detect as low as two methylated CpGs in a 500bp DNA fragment.
Identification of DNA Methylation Using NimbleGen Arrays - From the raw data, NimbleGen generates scaled log2-ratio data for IP/input. A statistical method is used to generate p-value enrichment data for each probe; peaks (methylated regions) are then generated based on the p-value data. NimbleGen also provides gene annotations and CpG island annotations.
Applications
- Unbiased identification of methylated regions in a high genomic coverage manner
- Correlation of promoter and genic DNA methylation with gene expression
- Comparison of DNA methylation patterns between cells, tissues, and tumor samples
Detection of Differential DNA Methylation - Human (hg17) ENCODE tiling arrays were used to detect DNA methylation using MeDIP from two different tumor samples. Tumor B samples contain more DNA methylation events in this region when compared to tumor A samples.
Array Designs 
NimbleGen has a range of DNA methylation microarray designs to choose from, or you can customize the array probe set to your specifications. The existing designs include a whole genome survey sets, consisting of a uniform tiling arrays covering all unique regions of the human genome, and a CpG island plus promoter arrays format, containing all UCSC annotated CpG islands in addition to proximal promoter regions, and promoter array designs aimed at known promoter regions. For custom designs, researchers can specify their regions of interest for a fine-tiling or promoter specific design or design their own targeted probes for a tailored array solution.
Delivery and Service Options 
DNA Methylation 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 DNA methylation 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 |
| Overall Slide Dimensions |
1" x 3" (25 x 75mm) |
| Array Size |
17.4mm x 13mm |
| Feature Size |
16μm x 16μm |
DNA Methylation Analysis Service
DNA methylation microarray service consists of the following steps:
- The customer selects a catalog DNA methylation array design or works with NimbleGen's Bioinformatics team to create a custom array design. NimbleGen manufactures the array.
- The customer prepares their samples, including immunoprecipitation with anti-5-methyl-cytidine (MeDIP, recommended) or the MBD protein method. The DNA is amplified (if required) according to recommended protocols and samples are shipped to NimbleGen's Service Lab.
- 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, p-value data, peaks data (methylated regions), genome annotation, reports listing peaks with associated transcripts and gene annotation information, and complete NimbleGen array design documentation. NimbleGen provides its SignalMap™ Software for visualization of ratio and peak data at no charge with every project.
Sample Requirements
| Sample Required |
4μg each IP and control samples |
| Sample Concentration |
250-500 ng / μl |
| Hybridization Volume |
15μl |
Data Delivery and Data Analysis Tools 
Data Delivery
The data delivered with NimbleGen's DNA methylation service includes:
- Raw data
- Scaled log2-ratio data
- P-value GFF file
- Peaks GFF file
- SignalMap GFF visualization software
- Promoter reports mapping DNA methylation to genes
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 of DNA methylation from array data generated using MeDIP or other affinity-based method (such as MBD). For each array, these tools generate a list of methylated regions (peaks) and produce reports that map peaks to specific gene promoters.
NimbleGen’s SignalMap™ data browser enables you to visually interpret the scaled log2-ratio, p-value, and peak data generated by NimbleScan. Graphical representation of your data aids the discovery of epigenetic and transcriptional regulation, including DNA hypermethylation within a target genome and the correlation of promoter and genic methylation with gene expression.
Literature 
For a complete listing of literature covering all Roche NimbleGen products and services please visit our literature page.
FAQ 
| Hide All Topics Show All Topics |
| Sample Preparation |
| What kind of samples can be used on NimbleGen's DNA methylation arrays? |
These arrays are designed to detect differences between a sample enriched for methylated DNA and a control sample, such as total genomic DNA. We recommend samples enriched using affinity-based methods that utilize an anti-5-mC antibody or MBD proteins. We also accept enzyme based methods to detect DNA methylation, such as Hpa II tiny fragment enrichment by ligation-mediated PCR (HELP). |
| Do you have a recommended protocol for front-end sample processing for producing DNA fragments enriched for methylation? |
Yes, we recommend the MeDIP (methylated DNA immunoprecipitation) protocol (Nat Genet. 2005 Aug;37(8):853-62) followed by amplification if necessary. Please contact NimbleGen's Technical Services for a detailed sample preparation protocol. |
| What is the minimum amount of DNA required to perform a NimbleGen recommended MeDIP experiment? |
We recommend starting with 5μg high-quality genomic DNA. However, even smaller amount DNA can be used (1μg or even 200ng). The IP process generally yields 5-10% of the original starting DNA, and you can amplify your IP-ed DNA using whole genome amplification (WGA; kit available from Sigma) in order to obtain at least 4μg of DNA. |
| Do I need to amplify my MeDIP samples? |
We are able to use unamplified samples for labeling reactions if at least 2.5μg of enriched methylated DNA was obtained. Greater amounts of enriched DNA can be obtained by starting with more DNA and by pooling samples from multiple experiments. If amplifcation is necessary, we recommend using the WGA kit (Sigma, catalog #WGA2-50RXN) for MeDIP samples. We have routinely observed that the WGA method introduces little bias during the amplification. |
| What is the effect of CpG content on the MeDIP reaction? |
Studies by Weber et al. (Nat. Genet. 2005, 37(8):853-862) have shown that the more more methylated CpG dinucleotides within a given fragment, the more DNA that is immunoprecipitated. The increase immunoprecipitated material is due to the 5-methylcytidine antibody having more available epitopes (methylated CpG). |
| What are the sample requirements for DNA methylation arrays? |
We require 4μg DNA (although 2.5μg is acceptable) 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. |
| Does NimbleGen perform front-end sample processing (e.g. IP and amplification)? |
No, NimbleGen is not currently set up to perform contract DNA methylation experiments for our customers. |
| Should I use a negative control and if so what should I use? |
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 should I use as a reference sample? |
The majority of our customers use total (input) sample as a reference. Using a nonspecific IgG is not a suitable reference. |
|
| Array Design |
| Do we have a catalog CpG island array? |
Yes, we have a CpG island plus promoter array that includes all UCSC annotated CpG islands plus 1kb human promoter or 1.8kb mouse promoter region of every RefSeq gene. Control tiled regions on the array include the HoxA cluster (methylation hotspot) and several imprinted loci, including H19/IGF2, KCNQ1, and IGF2R. |
| 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 DNA methylation designs? |
We have developed our own method of repeat masking which is dependent on the mean frequency of the 15-mers which make up each oligo. A table is made of the count of all 15-mers that appear in the genome, from both strands. Then a 15-mer window is slid along each oligo, looking up the count of each 15-mer 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. For some designs we use conventional repeat masking, as done by the RepeatMasker program http://www.repeatmasker.org/). However, NimbleGen has no access to the repeat libraries necessary to use this application, so we rely on third parties to supply this type of masked sequence. We find, however, that RepeatMasker is often overly aggressive and can mask 50-55% of human DNA sequence. 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. |
| What spacing do you recommend for DNA methylation designs? |
We recommend probe spacing of 100bp or less. |
| Can I get a graphical representation of all probes for a cataloged design that I am interested 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. |
|
| Data Analysis |
| Does NimbleGen normalize DNA methylation data? |
No, there is no normalization of DNA methylation data. However, we do scale the GFF files by subtracting the bi-weight mean for the log-ratio values from each log-ratio value. This effectively centers the log-ratio values around zero. |
| How does NimbleGen perform analysis on DNA methylation data? |
After scaled log2 ratio data is generated a modified ACME algorithm (Method Enzymol. 2006; 411:270-282) is employed where a fixed-length window is slid along the length of each chromosome, testing at each probe using a one-sided Kolmogorov-Smirnov (KS) test whether the surrounding window is enriched for high-intensity probes relative to the rest of the array. Each probe has a corresponding p-value score (-log10) and a threshold is set to select regions that are enriched (i.e. methylated) in the test sample. NimbleScan 2.3 users can download the ACME plug-in by clicking here. |
| Why is the data analysis for DNA methylation different from ChIP-chip? |
Since DNA methylation array data is often characterized by broad ranges of enrichment (whereas ChIP-chip data enrichment is more discrete) a different method to identify peaks from scaled log2-ratio data must be employed. |
| How do I validate a genome-wide DNA methylation array experiment? |
Common methods include bisulfite sequencing (single nucleotide resolution) to validate methylation status of all CpG dinucleotides within a peak called on the array, combined bisulfite restriction analysis (COBRA, determine percent methylation), and quantitative PCR to validate MeDIP array results by accurately measuring enrichment of methylated DNA fragments. |
|
| 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 DNA methylation experiment? |
Yes, we are including two summary reports that map the peaks from your DNA methylation 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 DNA methylation data (e.g. bisulfite sequencing or qPCR). |
|
| Benefits |
| Why should I use a genome-wide approach to study DNA methylation? |
NimbleGen's DNA methylation analysis arrays allow you to map DNA methylation across your genome of interest genome in an unbiased fashion, compare differential methylation patterns between cells, tissues, and tumors, and identify prognostic markers. |
| How sensitive are NimbleGen's DNA methylation arrays? |
Our arrays, when coupled with MeDIP, can readily detect as little as 2 methylated CpG dinucleotides per fragment. |
| What is the reproducibility of NimbleGen DNA methylation analysis arrays? |
While not fully validated by NimbleGen scientists, Weber et al. (Nat. Genet. 2007, 39(4):457-466) observed highly reproducible DNA methylation data between biological replicates (R = 0.92 for WI38 cells and R = 0.95 and 0.91 for sperm) when using MeDIP coupled with NimbleGen human promoter arrays. |
|
Promoter Tiling Arrays 
| Promoter Tiling Array Designs |
Organism: Arabidopsis thaliana
Source: NCBI
Build: TAIR6.0
Probe Length: 50-75mer
Median Probe Spacing 102bp
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 |
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
Probe Length: 50-75mer
Median Probe Spacing: 100bp
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 |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
| 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 |
| C4229-00-01 |
HG18 RefSeqXM promoter |
|
9000 |
2000 |
Organism: Mus musculus
Source: UCSC Build: MM8
Probe Length:50-75mer
Median Probe Spacing 100bp
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 |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
| 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 |
| C4225-00-01 |
MM8 RefSeqXM promoter |
|
7000 |
2000 |
Organism: Rattus norvegicus
Source: Ensembl Build: RGSC 3.4
Probe Length: 50-75mer
Median Probe Spacing: 105bp
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 |
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 |
|
| Promoter plus CpG Island Tiling Array Designs |
Probe Length: 50-75mer
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 |
Genome |
Source |
Build |
Number of CpG Islands |
Promoter Upstream Tiling (bp) |
Promoter Downstream Tiling (bp) |
| 00892 |
2006-11-02 HG18 CpG Promoter |
Homo sapiens |
UCSC |
HG18 |
28226 |
800 |
200 |
| 00893 |
2007-02-27 MM8 CpG Promoter |
Mus musculus |
UCSC |
MM8 |
15963 |
1300 |
500 |
| C7120-00-01 |
080212 RN34 CpG Island Pro |
Rattus norvegicus |
Ensembl |
RGSC 3.4 |
15809 |
1300 |
500 |
|
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
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 |
|
| Canis familiaris |
Source: UCSC
Build: canFam2
Probe Length: 50mer
Median Probe Spacing: 100bp
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 |
|
| Gallus gallus |
Source: UCSC
Build: galGal3
Probe Length: 50mer
Median Probe Spacing: 100bp
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 |
| C4530-SET-01 |
Gal3Tiling Set |
27 Array Set |
Whole Genome Tiling 27-Array Set |
|
|
| C4530-01-01 |
Gal3Tiling Set 1 |
Array 1 of 27 |
chr1 |
1 |
39,473,000 |
| C4530-02-01 |
Gal3Tiling Set 2 |
Array 2 of 27 |
chr1 |
39,473,050 |
80,386,539 |
| C4530-03-01 |
Gal3Tiling Set 3 |
Array 3 of 27 |
chr1 |
80,386,589 |
119,731,713 |
| C4530-04-01 |
Gal3Tiling Set 4 |
Array 4 of 27 |
chr1 |
119,731,763 |
159,240,269 |
| C4530-05-01 |
Gal3Tiling Set 5 |
Array 5 of 27 |
chr1 |
159,240,319 |
198,779,897 |
| C4530-06-01 |
Gal3Tiling Set 6 |
Array 6 of 27 |
chr1 |
198,779,947 |
200,993,971 |
| |
|
|
chr1 random |
1 |
222,058 |
| |
|
|
chr2 |
1 |
37,050,048 |
| C4530-07-01 |
Gal3Tiling Set 7 |
Array 7 of 27 |
chr2 |
37,050,098 |
77,948,675 |
| C4530-08-01 |
Gal3Tiling Set 8 |
Array 8 of 27 |
chr2 |
77,948,725 |
117,274,559 |
| C4530-09-01 |
Gal3Tiling Set 9 |
Array 9 of 27 |
chr2 |
117,274,609 |
154,873,711 |
| |
|
|
chr2 random |
1 |
142,793 |
| |
|
|
chr3 |
1 |
1,760,406 |
| C4530-10-01 |
Gal3Tiling Set 10 |
Array 10 of 27 |
chr3 |
1,760,456 |
42,540,444 |
| C4530-11-01 |
Gal3Tiling Set 11 |
Array 11 of 27 |
chr3 |
42,540,494 |
81,756,614 |
| C4530-12-01 |
Gal3Tiling Set 12 |
Array 12 of 27 |
chr3 |
81,756,664 |
113,657,692 |
| |
|
|
chr4 |
39 |
7,608,274 |
| C4530-13-01 |
Gal3Tiling Set 13 |
Array 13 of 27 |
chr4 |
7,608,324 |
48,372,531 |
| C4530-14-01 |
Gal3Tiling Set 14 |
Array 14 of 27 |
chr4 |
48,372,581 |
87,660,311 |
| C4530-15-01 |
Gal3Tiling Set 15 |
Array 15 of 27 |
chr4 |
87,660,361 |
94,230,338 |
| |
|
|
chr4 random |
1 |
180,704 |
| |
|
|
chr5 |
1 |
34,275,589 |
| C4530-16-01 |
Gal3Tiling Set 16 |
Array 16 of 27 |
chr5 |
34,275,639 |
62,238,856 |
| |
|
|
chr5 random |
1 |
27,851 |
| |
|
|
chr6 |
1,500,001 |
12,842,108 |
| C4530-17-01 |
Gal3Tiling Set 17 |
Array 17 of 27 |
chr6 |
12,842,158 |
37,400,433 |
| |
|
|
chr6 random |
1 |
34,129 |
| |
|
|
chr7 |
1 |
16,259,739 |
| C4530-18-01 |
Gal3Tiling Set 18 |
Array 18 of 27 |
chr7 |
16,259,789 |
38,384,711 |
| |
|
|
chr7 random |
1 |
103,968 |
| |
|
|
chr8 |
1 |
18,661,092 |
| C4530-19-01 |
Gal3Tiling Set 19 |
Array 19 of 27 |
chr10 |
1 |
4,527,828 |
| |
|
|
chr8 |
18,661,142 |
30,671,698 |
| |
|
|
chr8 random |
1 |
420,684 |
| |
|
|
chr9 |
1,500,001 |
25,554,304 |
| C4530-20-01 |
Gal3Tiling Set 20 |
Array 20 of 27 |
chr10 |
4,527,878 |
22,556,366 |
| |
|
|
chr10 random |
1 |
13,674 |
| |
|
|
chr11 |
1 |
21,928,091 |
| |
|
|
chr11 random |
1 |
72,609 |
| |
|
|
chr12 |
1 |
110,850 |
| C4530-21-01 |
Gal3Tiling Set 21 |
Array 21 of 27 |
chr12 |
110,900 |
20,536,630 |
| |
|
|
chr12 random |
1 |
7,004 |
| |
|
|
chr13 |
500,001 |
18,911,876 |
| |
|
|
chr13 random |
1 |
35,727 |
| |
|
|
chr14 |
1 |
1,168,043 |
| C4530-22-01 |
Gal3Tiling Set 22 |
Array 22 of 27 |
chr14 |
1,168,093 |
15,819,374 |
| |
|
|
chr15 |
1 |
12,968,127 |
| |
|
|
chr16 |
1 |
432,900 |
| |
|
|
chr16 random |
1 |
246,201 |
| |
|
|
chr17 |
500,001 |
11,182,467 |
| |
|
|
chr17 random |
1 |
2,851 |
| |
|
|
chr18 |
1 |
910,609 |
| C4530-23-01 |
Gal3Tiling Set 23 |
Array 23 of 27 |
chr18 |
910,659 |
10,925,251 |
| |
|
|
chr18 random |
1 |
11,883 |
| |
|
|
chr19 |
1 |
9,939,630 |
| |
|
|
chr20 |
1 |
13,986,179 |
| |
|
|
chr20 random |
1 |
75,038 |
| |
|
|
chr21 |
1 |
5,982,361 |
| C4530-24-01 |
Gal3Tiling Set 24 |
Array 24 of 27 |
chr21 |
5,982,411 |
6,959,606 |
| |
|
|
chr22 |
1 |
3,936,495 |
| |
|
|
chr22 random |
1 |
156,124 |
| |
|
|
chr23 |
1 |
6,042,119 |
| |
|
|
chr24 |
1 |
6,400,030 |
| |
|
|
chr25 |
1 |
2,031,765 |
| |
|
|
chr25 random |
1 |
80,294 |
| |
|
|
chr26 |
1 |
5,102,354 |
| |
|
|
chr27 |
1 |
4,841,948 |
| |
|
|
chr28 |
1 |
4,511,963 |
| |
|
|
chr28 random |
1 |
105,400 |
| |
|
|
chr32 |
1 |
951 |
| |
|
|
chrW |
1 |
259,614 |
| |
|
|
chrW random |
1 |
729,474 |
| |
|
|
chrZ |
1 |
7,526,271 |
| C4530-25-01 |
Gal3Tiling Set 25 |
Array 25 of 27 |
chrZ |
7,526,321 |
50,886,328 |
| C4530-26-01 |
Gal3Tiling Set 26 |
Array 26 of 27 |
chrE22C19W28 E50C23 |
1 |
895,233 |
| |
|
|
chrE22C19W28 E50C23 random |
1 |
191,057 |
| |
|
|
chrE64 |
1 |
49,833 |
| |
|
|
chrE64 random |
1 |
557,616 |
| |
|
|
chrUn random |
1 |
17,557,610 |
| |
|
|
chrZ |
50,886,378 |
74,602,257 |
| |
|
|
chrZ random |
1 |
346,154 |
| C4530-27-01 |
Gal3Tiling Set 27 |
Array 27 of 27 |
chrUn random |
17,557,660 |
63,870,725 |
|
| ENCODE |
General Array Specs
Probes per Array: 385,000
Feature Size: 16μm x 16μm
Array Size: 17.4mm x 13mm
Slide Size: 1" x 3" (25 x 75mm)
Recommended Storage: Desiccated at room temperature. |
Organism: Homo sapiens
Source: UCSC
Build: HG17 |
| Catalog Number |
Design Name |
Description |
Chromosome |
Probe Length |
Median Probe Spacing |
| C1980001-00-01 |
HG17 ENCODE 50mer |
Array 1 of 1 |
Tiles All ENCODE Regions |
50mer |
38bp |
Organism: Homo sapiens
Source: UCSC
Build: HG18 |
| Catalog Number |
Design Name |
Description |
Chromosome |
Probe Length |
Median Probe Spacing |
| C6709-00-01 |
HG18 ENCODE |
Array 1 of 1 |
Tiles All ENCODE Regions |
50-75mer |
60bp |
Organism: Canis familiaris
Source: UCSC
Build: CF2 |
| Catalog Number |
Design Name |
Description |
Chromosome |
Probe Length |
Median Probe Spacing |
| C3077-00-01 |
CF2 ENCODE |
Array 1 of 1 |
Tiles All ENCODE Regions |
50mer |
45bp |
|
| Homo sapiens |
Source: UCSC
Build: HG18
Probe Length: 50mer
Median Probe Spacing: 100bp
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 |
| C4524-SET-01 |
HG18Tiling Set |
38 Array Set |
Whole Genome 38-Array Set |
|
|
| C4524-01-01 |
HG18Tiling Set 1 |
Array 1 of 38 |
chr1 |
1,644 |
77,833,868 |
| C4524-02-01 |
HG18Tiling Set 2 |
Array 2 of 38 |
chr1 |
77,833,918 |
175,048,429 |
| C4524-03-01 |
HG18Tiling Set 3 |
Array 3 of 38 |
chr1 |
175,050,895 |
247,197,901 |
| |
|
|
chr1 random |
1,609 |
1,660,118 |
| |
|
|
chr2 |
2,789 |
166,769 |
| C4524-04-01 |
HG18Tiling Set 4 |
Array 4 of 38 |
chr2 |
166,819 |
71,983,140 |
| C4524-05-01 |
HG18Tiling Set 5 |
Array 5 of 38 |
chr2 |
71,983,425 |
150,976,181 |
| C4524-06-01 |
HG18Tiling Set 6 |
Array 6 of 38 |
chr2 |
150,976,231 |
221,986,862 |
| C4524-07-01 |
HG18Tiling Set 7 |
Array 7 of 38 |
chr2 |
221,986,912 |
242,751,051 |
| |
|
|
chr2 random |
1 |
185,538 |
| |
|
|
chr3 |
35,001 |
53,042,567 |
| C4524-08-01 |
HG18Tiling Set 8 |
Array 8 of 38 |
chr3 |
53,043,153 |
130,523,638 |
| C4524-09-01 |
HG18Tiling Set 9 |
Array 9 of 38 |
chr3 |
130,523,688 |
199,446,729 |
| |
|
|
chr3 random |
1,180 |
749,171 |
| |
|
|
chr4 |
6,124 |
5,907,785 |
| C4524-10-01 |
HG18Tiling Set 10 |
Array 10 of 38 |
chr4 |
5,907,836 |
86,895,691 |
| C4524-11-01 |
HG18Tiling Set 11 |
Array 11 of 38 |
chr4 |
86,895,741 |
162,579,935 |
| C4524-12-01 |
HG18Tiling Set 12 |
Array 12 of 38 |
chr4 |
162,580,158 |
191,260,272 |
| |
|
|
chr4 random |
1 |
842,645 |
| |
|
|
chr5 |
64,882 |
43,102,632 |
| C4524-13-01 |
HG18Tiling Set 13 |
Array 13 of 38 |
chr5 |
43,102,682 |
120,977,621 |
| C4524-14-01 |
HG18Tiling Set 14 |
Array 14 of 38 |
chr5 |
120,977,671 |
180,836,772 |
| |
|
|
chr5 random |
700 |
141,287 |
| |
|
|
chr6 |
5,001 |
14,400,058 |
| C4524-15-01 |
HG18Tiling Set 15 |
Array 15 of 38 |
chr6 |
14,400,108 |
93,424,260 |
| C4524-16-01 |
HG18Tiling Set 16 |
Array 16 of 38 |
chr6 |
93,424,310 |
165,905,673 |
| C4524-17-01 |
HG18Tiling Set 17 |
Array 17 of 38 |
chr6 |
165,905,853 |
170,896,928 |
| |
|
|
chr6 random |
723 |
1,875,488 |
| |
|
|
chr7 |
34,001 |
71,893,449 |
| C4524-18-01 |
HG18Tiling Set 18 |
Array 18 of 38 |
chr7 |
71,893,499 |
146,115,149 |
| C4524-19-01 |
HG18Tiling Set 19 |
Array 19 of 38 |
chr7 |
146,115,199 |
158,821,243 |
| |
|
|
chr7 random |
66 |
547,244 |
| |
|
|
chr8 |
1 |
64,734,981 |
| C4524-20-01 |
HG18Tiling Set 20 |
Array 20 of 38 |
chr8 |
64,735,105 |
139,834,728 |
| C4524-21-01 |
HG18Tiling Set 21 |
Array 21 of 38 |
chr8 |
139,834,778 |
146,273,006 |
| |
|
|
chr8 random |
2,645 |
943,766 |
| |
|
|
chr9 |
1,894 |
87,382,297 |
| C4524-22-01 |
HG18Tiling Set 22 |
Array 22 of 38 |
chr10 |
50,001 |
19,976,990 |
| |
|
|
chr9 |
87,382,347 |
140,272,350 |
| |
|
|
chr9 random |
1,524 |
1,146,418 |
| C4524-23-01 |
HG18Tiling Set 23 |
Array 23 of 38 |
chr10 |
19,977,040 |
99,783,066 |
| C4524-24-01 |
HG18Tiling Set 24 |
Array 24 of 38 |
chr10 |
99,783,524 |
135,370,851 |
| |
|
|
chr10 random |
899 |
113,241 |
| |
|
|
chr11 |
50,001 |
35,341,402 |
| C4524-25-01 |
HG18Tiling Set 25 |
Array 25 of 38 |
chr11 |
35,341,452 |
117,277,977 |
| C4524-26-01 |
HG18Tiling Set 26 |
Array 26 of 38 |
chr11 |
117,278,030 |
134,450,373 |
| |
|
|
chr11 random |
1 |
215,264 |
| |
|
|
chr12 |
17,430 |
58,836,794 |
| C4524-27-01 |
HG18Tiling Set 27 |
Array 27 of 38 |
chr12 |
58,836,844 |
132,289,483 |
| |
|
|
chr13 |
17,918,001 |
22,162,992 |
| C4524-28-01 |
HG18Tiling Set 28 |
Array 28 of 38 |
chr13 |
22,163,047 |
95,001,767 |
| C4524-29-01 |
HG18Tiling Set 29 |
Array 29 of 38 |
chr13 |
95,001,817 |
114,127,886 |
| |
|
|
chr13 random |
1 |
186,280 |
| |
|
|
chr14 |
18,126,852 |
72,700,758 |
| C4524-30-01 |
HG18Tiling Set 30 |
Array 30 of 38 |
chr14 |
72,700,808 |
106,360,511 |
| |
|
|
chr15 |
18,303,911 |
58,530,389 |
| C4524-31-01 |
HG18Tiling Set 31 |
Array 31 of 38 |
chr15 |
58,530,439 |
100,336,874 |
| |
|
|
chr15 random |
1 |
784,326 |
| |
|
|
chr16 |
1,462 |
32,788,140 |
| C4524-32-01 |
HG18Tiling Set 32 |
Array 32 of 38 |
chr16 |
32,788,379 |
88,820,540 |
| |
|
|
chr16 random |
485 |
105,474 |
| |
|
|
chr17 |
1 |
28,580,036 |
| C4524-33-01 |
HG18Tiling Set 33 |
Array 33 of 38 |
chr17 |
28,580,086 |
78,654,701 |
| |
|
|
chr17 random |
1 |
2,617,362 |
| |
|
|
chr18 |
1,146 |
22,939,995 |
| C4524-34-01 |
HG18Tiling Set 34 |
Array 34 of 38 |
chr18 |
22,940,045 |
76,116,085 |
| |
|
|
chr18 random |
1 |
4,250 |
| |
|
|
chr19 |
11,001 |
19,529,590 |
| C4524-35-01 |
HG18Tiling Set 35 |
Array 35 of 38 |
chr19 |
19,529,928 |
63,805,962 |
| |
|
|
chr19 random |
8,246 |
301,805 |
| |
|
|
chr20 |
11,165 |
50,138,814 |
| C4524-36-01 |
HG18Tiling Set 36 |
Array 36 of 38 |
chr20 |
50,138,864 |
62,432,160 |
| |
|
|
chr21 |
9,882,592 |
46,941,530 |
| |
|
|
chr21 random |
1,024 |
1,679,609 |
| |
|
|
chr22 |
14,430,066 |
39,529,828 |
| C4524-37-01 |
HG18Tiling Set 37 |
Array 37 of 38 |
chr22 |
39,529,878 |
49,590,841 |
| |
|
|
chr22 random |
1 |
257,295 |
| |
|
|
chrX |
447 |
85,044,437 |
| C4524-38-01 |
HG18Tiling Set 38 |
Array 38 of 38 |
chrM |
1 |
16,477 |
| |
|
|
chrX |
85,044,487 |
154,911,115 |
| |
|
|
chrX random |
1 |
1,718,128 |
| |
|
|
chrY |
447 |
57,770,315 |
|
| Mus musculus |
Source: UCSC
Build: MM8
Probe Length: 50mer
Median Probe Spacing: 100bp
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 |
| C4527-SET-01 |
MM8Tiling Set |
38 Array Set |
Whole Genome 38-Array Set |
|
|
| C4527-01-01 |
MM8Tiling Set 1 |
Array 1 of 38 |
chr1 |
3,000,157 |
73,220,987 |
| C4527-02-01 |
MM8Tiling Set 2 |
Array 2 of 38 |
chr1 |
73,221,037 |
145,835,677 |
| C4527-03-01 |
MM8Tiling Set 3 |
Array 3 of 38 |
chr1 |
145,835,727 |
197,066,777 |
| |
|
|
chr1 random |
102 |
172,125 |
| |
|
|
chr2 |
3,006,246 |
14,803,550 |
| C4527-04-01 |
MM8Tiling Set 4 |
Array 4 of 38 |
chr2 |
14,803,600 |
78,803,469 |
| C4527-05-01 |
MM8Tiling Set 5 |
Array 5 of 38 |
chr2 |
78,803,519 |
144,694,967 |
| C4527-06-01 |
MM8Tiling Set 6 |
Array 6 of 38 |
chr2 |
144,695,017 |
181,926,733 |
| |
|
|
chr3 |
3,000,001 |
35,945,810 |
| C4527-07-01 |
MM8Tiling Set 7 |
Array 7 of 38 |
chr3 |
35,946,023 |
105,538,217 |
| C4527-08-01 |
MM8Tiling Set 8 |
Array 8 of 38 |
chr3 |
105,538,373 |
159,872,029 |
| |
|
|
chr4 |
3,006,467 |
13,466,829 |
| C4527-09-01 |
MM8Tiling Set 9 |
Array 9 of 38 |
chr4 |
13,466,879 |
86,052,953 |
| C4527-10-01 |
MM8Tiling Set 10 |
Array 10 of 38 |
chr4 |
86,053,003 |
151,907,497 |
| C4527-11-01 |
MM8Tiling Set 11 |
Array 11 of 38 |
chr4 |
151,907,547 |
155,029,701 |
| |
|
|
chr5 |
3,002,590 |
66,825,929 |
| C4527-12-01 |
MM8Tiling Set 12 |
Array 12 of 38 |
chr5 |
66,825,979 |
132,198,192 |
| C4527-13-01 |
MM8Tiling Set 13 |
Array 13 of 38 |
chr5 |
132,198,242 |
152,002,824 |
| |
|
|
chr5 random |
1 |
2,921,181 |
| |
|
|
chr6 |
3,000,336 |
49,711,116 |
| C4527-14-01 |
MM8Tiling Set 14 |
Array 14 of 38 |
chr6 |
49,711,166 |
116,290,338 |
| C4527-15-01 |
MM8Tiling Set 15 |
Array 15 of 38 |
chr6 |
116,290,495 |
149,525,670 |
| |
|
|
chr7 |
3,002,498 |
47,370,177 |
| C4527-16-01 |
MM8Tiling Set 16 |
Array 16 of 38 |
chr7 |
47,370,227 |
115,300,979 |
| C4527-17-01 |
MM8Tiling Set 17 |
Array 17 of 38 |
chr7 |
115,301,029 |
145,133,805 |
| |
|
|
chr7 random |
152 |
243,780 |
| |
|
|
chr8 |
3,000,187 |
37,161,130 |
| C4527-18-01 |
MM8Tiling Set 18 |
Array 18 of 38 |
chr8 |
37,161,180 |
106,292,103 |
| C4527-19-01 |
MM8Tiling Set 19 |
Array 19 of 38 |
chr8 |
106,292,153 |
132,084,079 |
| |
|
|
chr8 random |
1 |
206,881 |
| |
|
|
chr9 |
3,038,420 |
43,286,226 |
| C4527-20-01 |
MM8Tiling Set 20 |
Array 20 of 38 |
chr9 |
43,286,276 |
105,899,668 |
| C4527-21-01 |
MM8Tiling Set 21 |
Array 21 of 38 |
chr10 |
3,002,171 |
52,787,705 |
| |
|
|
chr9 |
105,899,718 |
123,997,618 |
| |
|
|
chr9 random |
1 |
16,735 |
| C4527-22-01 |
MM8Tiling Set 22 |
Array 22 of 38 |
chr10 |
52,787,755 |
117,084,713 |
| C4527-23-01 |
MM8Tiling Set 23 |
Array 23 of 38 |
chr10 |
117,084,763 |
129,952,011 |
| |
|
|
chr10 random |
1 |
10,464 |
| |
|
|
chr11 |
3,005,467 |
56,613,072 |
| C4527-24-01 |
MM8Tiling Set 24 |
Array 24 of 38 |
chr11 |
56,613,122 |
117,015,745 |
| C4527-25-01 |
MM8Tiling Set 25 |
Array 25 of 38 |
chr11 |
117,015,795 |
121,798,318 |
| |
|
|
chr12 |
3,000,001 |
66,136,890 |
| C4527-26-01 |
MM8Tiling Set 26 |
Array 26 of 38 |
chr12 |
66,136,940 |
120,463,116 |
| |
|
|
chr13 |
3,001,731 |
13,478,312 |
| C4527-27-01 |
MM8Tiling Set 27 |
Array 27 of 38 |
chr13 |
13,478,362 |
79,149,705 |
| C4527-28-01 |
MM8Tiling Set 28 |
Array 28 of 38 |
chr13 |
79,149,801 |
120,614,368 |
| |
|
|
chr13 random |
1 |
436,142 |
| |
|
|
chr14 |
3,000,283 |
28,012,624 |
| C4527-29-01 |
MM8Tiling Set 29 |
Array 29 of 38 |
chr14 |
28,012,674 |
95,499,352 |
| C4527-30-01 |
MM8Tiling Set 30 |
Array 30 of 38 |
chr14 |
95,499,402 |
123,975,857 |
| |
|
|
chr15 |
3,001,925 |
42,329,373 |
| C4527-31-01 |
MM8Tiling Set 31 |
Array 31 of 38 |
chr15 |
42,329,489 |
103,492,126 |
| |
|
|
chr15 random |
1 |
105,912 |
| |
|
|
chr16 |
3,001,091 |
5,125,906 |
| C4527-32-01 |
MM8Tiling Set 32 |
Array 32 of 38 |
chr16 |
5,126,120 |
71,871,524 |
| C4527-33-01 |
MM8Tiling Set 33 |
Array 33 of 38 |
chr16 |
71,871,574 |
98,252,249 |
| |
|
|
chr17 |
3,000,366 |
42,700,654 |
| C4527-34-01 |
MM8Tiling Set 34 |
Array 34 of 38 |
chr17 |
42,700,704 |
95,177,193 |
| |
|
|
chr17 random |
59 |
88,343 |
| |
|
|
chr18 |
3,000,001 |
18,021,916 |
| C4527-35-01 |
MM8Tiling Set 35 |
Array 35 of 38 |
chr18 |
18,021,966 |
81,920,670 |
| C4527-36-01 |
MM8Tiling Set 36 |
Array 36 of 38 |
chr18 |
81,920,720 |
90,736,043 |
| |
|
|
chr19 |
3,000,194 |
58,910,586 |
| C4527-37-01 |
MM8Tiling Set 37 |
Array 37 of 38 |
chr19 |
58,910,636 |
61,321,095 |
| |
|
|
chrX |
3,007,927 |
93,883,916 |
| C4527-38-01 |
MM8Tiling Set 38 |
Array 38 of 38 |
chrM |
1 |
16,293 |
| |
|
|
chrUn random |
719 |
1,539,820 |
| |
|
|
chrX |
93,883,966 |
165,556,020 |
| |
|
|
chrX random |
342 |
39,608 |
| |
|
|
chrY |
1 |
2,728,984 |
| |
|
|
chrY random |
6,952 |
14,577,665 |
|
| Rattus norvegicus |
Source: UCSC
Build: RN3
Probe Length: 50mer
Median Probe Spacing: 100bp
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 |
| C4528-SET-01 |
RN3Tiling Set |
37 Array Set |
Whole Genome 37-Array Set |
|
|
| C4528-01-01 |
RN3Tiling Set 1 |
Array 1 of 37 |
chr1 |
5,520 |
79,919,584 |
| C4528-02-01 |
RN3Tiling Set 2 |
Array 2 of 37 |
chr1 |
79,919,634 |
154,041,905 |
| C4528-03-01 |
RN3Tiling Set 3 |
Array 3 of 37 |
chr1 |
154,041,955 |
224,172,034 |
| C4528-04-01 |
RN3Tiling Set 4 |
Array 4 of 37 |
chr1 |
224,172,084 |
267,910,880 |
| |
|
|
chr2 |
1 |
31,354,399 |
| C4528-05-01 |
RN3Tiling Set 5 |
Array 5 of 37 |
chr2 |
31,354,517 |
109,576,919 |
| C4528-06-01 |
RN3Tiling Set 6 |
Array 6 of 37 |
chr2 |
109,576,969 |
185,872,738 |
| C4528-07-01 |
RN3Tiling Set 7 |
Array 7 of 37 |
chr2 |
185,872,788 |
256,774,166 |
| C4528-08-01 |
RN3Tiling Set 8 |
Array 8 of 37 |
chr2 |
256,774,216 |
258,200,683 |
| |
|
|
chr3 |
1 |
68,062,290 |
| C4528-09-01 |
RN3Tiling Set 9 |
Array 9 of 37 |
chr3 |
68,062,340 |
139,490,656 |
| C4528-10-01 |
RN3Tiling Set 10 |
Array 10 of 37 |
chr3 |
139,490,706 |
171,063,075 |
| |
|
|
chr4 |
3,118 |
39,789,881 |
| C4528-11-01 |
RN3Tiling Set 11 |
Array 11 of 37 |
chr4 |
39,789,931 |
115,751,389 |
| C4528-12-01 |
RN3Tiling Set 12 |
Array 12 of 37 |
chr4 |
115,751,720 |
184,999,983 |
| C4528-13-01 |
RN3Tiling Set 13 |
Array 13 of 37 |
chr4 |
185,000,037 |
187,125,250 |
| |
|
|
chr5 |
5,760 |
77,486,463 |
| C4528-14-01 |
RN3Tiling Set 14 |
Array 14 of 37 |
chr5 |
77,486,513 |
151,080,950 |
| C4528-15-01 |
RN3Tiling Set 15 |
Array 15 of 37 |
chr5 |
151,081,000 |
173,096,189 |
| |
|
|
chr6 |
5,572 |
47,549,369 |
| C4528-16-01 |
RN3Tiling Set 16 |
Array 16 of 37 |
chr6 |
47,549,419 |
121,154,039 |
| C4528-17-01 |
RN3Tiling Set 17 |
Array 17 of 37 |
chr6 |
121,154,089 |
147,630,634 |
| |
|
|
chr7 |
6,203 |
47,765,412 |
| C4528-18-01 |
RN3Tiling Set 18 |
Array 18 of 37 |
chr7 |
47,765,462 |
117,227,981 |
| C4528-19-01 |
RN3Tiling Set 19 |
Array 19 of 37 |
chr7 |
117,228,031 |
143,002,625 |
| |
|
|
chr8 |
3,406 |
46,729,790 |
| C4528-20-01 |
RN3Tiling Set 20 |
Array 20 of 37 |
chr8 |
46,729,840 |
113,494,580 |
| C4528-21-01 |
RN3Tiling Set 21 |
Array 21 of 37 |
chr8 |
113,494,630 |
129,041,631 |
| |
|
|
chr9 |
2,845 |
56,983,099 |
| C4528-22-01 |
RN3Tiling Set 22 |
Array 22 of 37 |
chr10 |
1 |
10,356,380 |
| |
|
|
chr9 |
56,983,149 |
113,440,438 |
| C4528-23-01 |
RN3Tiling Set 23 |
Array 23 of 37 |
chr10 |
10,361,275 |
76,932,657 |
| C4528-24-01 |
RN3Tiling Set 24 |
Array 24 of 37 |
chr10 |
76,932,707 |
110,718,830 |
| |
|
|
chr11 |
5,213 |
34,964,213 |
| C4528-25-01 |
RN3Tiling Set 25 |
Array 25 of 37 |
chr11 |
34,964,263 |
87,757,544 |
| |
|
|
chr12 |
1 |
19,861,316 |
| C4528-26-01 |
RN3Tiling Set 26 |
Array 26 of 37 |
chr12 |
19,861,366 |
46,782,087 |
| |
|
|
chr13 |
1 |
53,625,008 |
| C4528-27-01 |
RN3Tiling Set 27 |
Array 27 of 37 |
chr13 |
53,625,058 |
111,151,398 |
| |
|
|
chr14 |
1,899 |
12,118,032 |
| C4528-28-01 |
RN3Tiling Set 28 |
Array 28 of 37 |
chr14 |
12,118,082 |
85,664,357 |
| C4528-29-01 |
RN3Tiling Set 29 |
Array 29 of 37 |
chr14 |
85,664,970 |
112,194,154 |
| |
|
|
chr15 |
1,104 |
46,654,817 |
| C4528-30-01 |
RN3Tiling Set 30 |
Array 30 of 37 |
chr15 |
46,655,396 |
109,756,002 |
| |
|
|
chr16 |
1 |
8,
| | |