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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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MapViewer Resource Report Resource Website 100+ mentions |
MapViewer (RRID:SCR_003092) | Map Viewer | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023. Database that provides special browsing capabilities for a subset of organisms in Entrez Genomes. Map Viewer allows users to view and search an organism's complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest. If multiple maps are available for a chromosome, it displays them aligned to each other based on shared marker and gene names, and, for the sequence maps, based on a common sequence coordinate system. | genome, mapping, sequencing, chromosome |
is listed by: OMICtools is related to: NCBI Genome is related to: Consensus CDS has parent organization: NCBI |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00921, nif-0000-03103 | SCR_003092 | Entrez Map Viewer, NCBI Map Viewer | 2026-09-12 01:01:27 | 244 | |||||||
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Mammalian Mitochondrial Genomics Database Resource Report Resource Website |
Mammalian Mitochondrial Genomics Database (RRID:SCR_003084) | MamMiBase | data or information resource, database | Database developed to assist the phylogeneticist user in retrieving individual gene sequence alignments for genes in complete mammalian mitochondrial genomes. Data retrieval in MamMiBase requires three stages. At the first stage, the user must select the mammalian species or group that (s)he wishes to study. In the second stage, the user will select the outgroup from a list that included all species selected in the first stage plus Xenopus laevis and Gallus gallus. Finally, at the third stage, the user will select individual mitochondrial gene alignments or a phylogenetic tree that (s)he wishes to download. | phylogeny, mitochondrial, genome, gene, sequence | has parent organization: National Laboratory for Scientific Computing; Rio de Janeiro; Brazil | Brazilian Ministry of Science Technology and Innovation ; National Research Council ; Rio de Janeiro Science Foundation ; FAPERJ |
PMID:15713730 | Free, Freely available | nif-0000-03099 | SCR_003084 | 2026-09-12 01:01:27 | 0 | ||||||
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BiSearch: Primer Design and Search Tool Resource Report Resource Website 50+ mentions |
BiSearch: Primer Design and Search Tool (RRID:SCR_002980) | BiSearch | analysis service resource, data analysis service, production service resource, service resource | BiSearch is a primer-design algorithm for DNA sequences. It may be used for both bisulfite converted as well as for original not modified sequences. You can search various genomes with the designed primers to avoid non-specific PCR products by our fast ePCR method. This is especially recommended when primers are designed to amplify the highly redundant bisulfite treated sequences. It has the unique property of analyzing the primer pairs for mispriming sites on the bisulfite-treated genome and determines potential non-specific amplification products with a new search algorithm. The options of primer-design and analysis for mispriming sites can be used sequentially or separately, both on bisulfite-treated and untreated sequences. In silico and in vitro tests of the software suggest that new PCR strategies may increase the efficiency of the amplification. | dna, sequence, primer, design, algorithm, analysis, priming, bisulfite, genome, amplification, in vitro, in silico, amplification, epcr, cytosines | has parent organization: Hungarian Academy of Sciences; Budapest; Hungary | PXE International Inc. GVOP-3.1.1-2004-05-0143/3.0; Boolyai Janos Scholarship ; OTKA T34131; OTKA D42207 |
PMID:17022803 PMID:15653630 |
nif-0000-30170 | SCR_002980 | 2026-09-12 01:01:27 | 54 | |||||||
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Influenza Virus Resource Resource Report Resource Website 50+ mentions |
Influenza Virus Resource (RRID:SCR_002984) | Influenza Virus Resource | data or information resource, database | Database of data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis and annotation. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses. Users can search the Flu database, build queries, retrieve sequences, and apply analysis tools. This includes selecting influenza sequences by virus, subtype, host, and other criteria, finding complete genome sets, aligning sequence and others in the database (up to 1000 sequences), viewing clustering and phylogenetic trees, BLAST searching a flu sequence against the database, and more. | genomics, genome, flu, variation, annotation, blast, cluster, phylogenetic tree, align, data analysis service |
is listed by: re3data.org is related to: GenBank is related to: Virus Variation has parent organization: NCBI |
Influenza virus | PMID:17942553 | Free, Available for download, Freely available | nif-0000-03023, r3d100011004 | https://doi.org/10.17616/R3S61C | SCR_002984 | NCBI Influenza Virus Resource | 2026-09-12 01:01:27 | 83 | ||||
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Factorbook Resource Report Resource Website 10+ mentions |
Factorbook (RRID:SCR_004086) | Factorbook | data or information resource, database | A Wiki-based database for transcription factor-binding data generated by the ENCODE consortium. | transcription factor, genome, transcription factor binding region, chip-seq |
is listed by: OMICtools is related to: ENCODE |
PMID:22955990 | OMICS_00533 | SCR_004086 | 2026-09-12 01:01:30 | 22 | ||||||||
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My Cancer Genome Resource Report Resource Website 100+ mentions |
My Cancer Genome (RRID:SCR_004140) | MCG | data or information resource, database | A freely available online personalized cancer medicine knowledge resource for physicians, patients, caregivers and researchers that gives up-to-date information on what mutations make cancers grow and related therapeutic implications, including available clinical trials. It is a one-stop tool that matches tumor mutations to therapies, making information accessible and convenient for busy clinicians. | genome, disease, genome, medicine, clinical trial, mutation, therapy, FASEB list |
is listed by: OMICtools has parent organization: Vanderbilt University; Tennessee; USA |
Cancer, Tumor | PMID:32483629 | OMICS_01552 | SCR_004140 | MyCancerGenome.org | 2026-09-12 01:01:30 | 114 | ||||||
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JCVI GenProp Resource Report Resource Website 1+ mentions |
JCVI GenProp (RRID:SCR_004592) | JCVI GenProp | data or information resource, database, service resource | The Genome Properties system consists of a suite of Properties which are carefully defined attributes of prokaryotic organisms whose status can be described by numerical values or controlled vocabulary terms for individual completely sequenced genomes. The system has been designed to capture the widest possible range of attributes and currently encompasses taxonomic terms, genometric calculations, metabolic pathways, systems of interacting macromolecular components and quantitative and descriptive experimental observations (phenotypes) from the literature. You may search the Genome Properties Database in 1 of 3 ways: * Search For Predicted Properties in the CMR: The Genome Property Search allows you to search the Genome Property database for state information for selected genomes and properties. * Perform a Keyword Search for a Specific Property: Lists all Genome Properties that match a specific text string. You can choose to search All Fields within a genome property or the Property Name. * Browse Top Level Genome Properties: Click on the properties to see the specific genome property report page. The Genome Properties system presents key aspects of prokaryotic biology using standardized computational methods and controlled vocabularies. Properties reflect gene content, phenotype, phylogeny and computational analyses. The results of searches using hidden Markov models allow many properties to be deduced automatically, especially for families of proteins (equivalogs) conserved in function since their last common ancestor. Additional properties are derived from curation, published reports and other forms of evidence. Genome Properties system was applied to 156 complete prokaryotic genomes, and is easily mined to find differences between species, correlations between metabolic features and families of uncharacterized proteins, or relationships among properties. | prokaryote, genome, genomics, a | has parent organization: JCVI CMR | NSF DBI-0110270; DOE DE-FG02-01ER63203 |
PMID:15347579 | nlx_58176 | http://www.tigr.org/Genome_Properties | SCR_004592 | Genome Properties, Genome Properties Database, JCVI CMR Genome Properties | 2026-09-12 01:01:32 | 1 | |||||
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Pain Genes database Resource Report Resource Website 10+ mentions |
Pain Genes database (RRID:SCR_004771) | PainGenesdb | data or information resource, database | Database of genes regulated by pain derived from published manuscripts describing results of pain-relevant knockout studies. The database has two levels of exploration: across-gene and within-gene. The across-gene level, the PainGenesdbSelector, is encountered first. All genes in the database can be accessed and sorted by their gene name, protein name, common names and acronyms, or genomic position (by navigating a graphic representation of the mouse genome). The gene and protein names can be selected from an alphabetical list, or by typing a text string into a search box. | knock out mouse, pain sensation, mice, mutant, knockout, gene, genome, protein | has parent organization: McGill University; Montreal; Canada | Pain | Louise Edwards Foundation | PMID:17574758 | nlx_77039, r3d100012129 | https://doi.org/10.17616/R3WP95 | SCR_004771 | PainGenes DB | 2026-09-12 01:01:33 | 16 | ||||
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NBC Resource Report Resource Website 1+ mentions |
NBC (RRID:SCR_004772) | NBC | analysis service resource, data analysis service, production service resource, service resource | Webserver for taxonomic classification of metagenomic reads. | metagenome, genome, virus, taxonomy, next-generation sequencing, taxonomic classification, classification |
is listed by: OMICtools has parent organization: Drexel University; Pennsylvania; USA |
NSF DBI-0845827; DOE DE-SC0004335 |
PMID:1062764 PMID:19956701 |
OMICS_01458 | SCR_004772 | Naive Bayes Classification tool, Na����ve Bayesian Classification tool, Naive Bayesian Classification Tool | 2026-09-12 01:01:34 | 3 | ||||||
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AVIA Resource Report Resource Website 1+ mentions |
AVIA (RRID:SCR_005172) | AVIA | analysis service resource, data analysis service, production service resource, service resource | An interactive web-based tool to explore and interpret large sets of genomic variations (single nucleotide variations and insertion/deletions) to help guide and summarize genomic experiments. The tool is based on coupling a comprehensive annotation pipeline with a flexible visualization method. They leveraged the ANNOVAR (Wang et. al, 2010) framework for assigning functional impact to genomic variations by extending its list of reference annotation databases (RefSeq, UCSC, SIFT, Polyphen etc.) with additional in-house developed sources (Non-B DB, PolyBrowse). Further, because many users also have their own annotation sources, they have added the ability to supply their own files as well. The results can be obtained in tabular format or as tracks in whole genome circular views generated by the Circos application (Krzywinski et. al, 2009). Users can also select different sets of pre-computed tracks, including whole genome distributions of different genomic features (genes, exons, repeats), as well as variations analysis tracks for the 69 CGI public genomes for reference. | genomic variation, single nucleotide variation, insertion, deletion, indel, genome, annotation, visualization, impact analysis, mirna snp, mirna, snp, subtractive analysis, protein coding |
is listed by: OMICtools has parent organization: Frederick National Laboratory for Cancer Research has parent organization: NCI-Frederick |
PMID:24215028 | Acknowledgement requested | OMICS_00168 | SCR_005172 | Annotation Visualization and Impact Analysis | 2026-09-12 01:01:35 | 9 | ||||||
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Oncotator Resource Report Resource Website 100+ mentions |
Oncotator (RRID:SCR_005183) | Oncotator | analysis service resource, data analysis service, production service resource, service resource | A tool for annotating human genomic point mutations and indels with data relevant to cancer researchers. Genomic Annotations, Protein Annotations, and Cancer Annotations are aggregated from many resources. A standalone version of Oncotator is being developed. | annotate, genomic, point mutation, indel, mutation, genome, protein, variant |
is listed by: OMICtools has parent organization: Broad Institute |
Cancer | OMICS_00178 | SCR_005183 | 2026-09-12 01:01:36 | 223 | ||||||||
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NCBI BioProject Resource Report Resource Website 10000+ mentions |
NCBI BioProject (RRID:SCR_004801) | data or information resource, database | Database of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. It is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms. Submissions are supported by a web-based Submission Portal. The database facilitates organization and classification of project data submitted to NCBI, EBI and DDBJ databases that captures descriptive information about research projects that result in high volume submissions to archival databases, ties together related data across multiple archives and serves as a central portal by which to inform users of data availability. BioProject records link to corresponding data stored in archival repositories. The BioProject resource is a redesigned, expanded, replacement of the NCBI Genome Project resource. The redesign adds tracking of several data elements including more precise information about a project''''s scope, material, and objectives. Genome Project identifiers are retained in the BioProject as the ID value for a record, and an Accession number has been added. Database content is exchanged with other members of the International Nucleotide Sequence Database Collaboration (INSDC). BioProject is accessible via FTP. | genome sequencing, sequencing, genotype, phenotype, sequence variant, epigenetic, data set, genome, assembly, annotation, mapping, cellular organism, gene mapping, gene expression, biological tag, gene rearrangement, genetic algorithm, genetic code, genetic genealogy, gold standard, bio.tools |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: INSDC has parent organization: NCBI |
NLM | PMID:22139929 | Free, Freely available | r3d100013330, nlx_143909, biotools:bioproject | http://www.ncbi.nlm.nih.gov/genomeprj, https://bio.tools/bioproject, https://doi.org/10.17616/R31NJMS2 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?CMD=search&DB=genomeprj | SCR_004801 | NCBI BioProject Database, BioProject | 2026-09-12 01:01:34 | 14025 | ||||
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ChIPBase Resource Report Resource Website 100+ mentions |
ChIPBase (RRID:SCR_005404) | ChIPBase | data or information resource, database | A database for decoding transcription factor binding maps, expression profiles and transcriptional regulation of long non-coding RNAs (lncRNAs, lincRNAs), microRNAs, other ncRNAs (snoRNAs, tRNAs, snRNAs, etc.) and protein-coding genes from ChIP-Seq data. ChIPBase currently includes millions of transcription factor binding sites (TFBSs) among 6 species. ChIPBase provides several web-based tools and browsers to explore TF-lncRNA, TF-miRNA, TF-mRNA, TF-ncRNA and TF-miRNA-mRNA regulatory networks., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | chip-seq, gene, rna, microrna, long non-coding rna, non-coding, transcription factor binding site, protein, transcriptional regulation, annotation, regulatory element, transcription factor, genome, network, FASEB list |
is listed by: OMICtools has parent organization: Sun Yat-sen University; Guangdong; China |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00527 | SCR_005404 | 2026-09-12 01:01:37 | 145 | ||||||||
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Plant Genome Resource at JGI Resource Report Resource Website |
Plant Genome Resource at JGI (RRID:SCR_005315) | JGI Plant Genomics Program | data or information resource, database | The goal of the DOE JGI Plant Genome Program is to shed light on the fundamental biology of photosynthesis and transduction of solar to chemical energy. Other areas of interest include characterizing: * Ecosystems and the role of terrestrial plants and oceanic phytoplankton-in carbon sequestration. * The role of plants in coping with toxic pollutants in soils by hyper-accumulation and detoxification. * Feedstocks for biofuels, e.g., biodiesel from soybean; cellulosic ethanol from perennial grasses. * The ability to respond to environmental change (e.g., loss of diversity from monoculture produces vulnerabilities; nitrogen fixing nodules in legumes reduce fertilizer need). * The generation of useful secondary metabolites (produced largely for disease resistance)- for positive/negative control in agriculture, with attendant influence on global carbon cycle. The Plant Genome Program accomplishes the above through the following activities: # Sequence. Produce genome sequences of key plant (and algal) species to accelerate biofuel development and understand response to climate change. # Function. Develop datasets (and synthetic biology tools) to elucidate functional elements in plant genomes, with special focus on handful of flagship genomes. # Variation. Characterize natural genomic variation in plants (and their associated microbiomes), and relate to biofuel sustainability and adaptation to climate change. # Integration. Provide a centralized hub for the retrieval and deep integrated analysis of plant genome datasets. | plant, genomics, genome, photosynthesis, sequence | has parent organization: DOE Joint Genome Institute | DOE | nlx_144370 | SCR_005315 | Plant Genomics Program at JGI, DOE JGI Plant Genome Program, Plant Genomics Program - Capturing Light to Fuel Our Future | 2026-09-12 01:01:37 | 0 | |||||||
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Transcriptional Regulatory Element Database Resource Report Resource Website 50+ mentions |
Transcriptional Regulatory Element Database (RRID:SCR_005661) | TRED | data or information resource, database | Collects mammalian cis- and trans-regulatory elements together with experimental evidence. Regulatory elements were mapped on to assembled genomes. Resource for gene regulation and function studies. Users can retrieve primers, search TF target genes, retrieve TF motifs, search Gene Regulatory Networks and orthologs, and make use of sequence analysis tools. Uses databases such as Genbank, EPD and DBTSS, and employ promoter finding program FirstEF combined with mRNA/EST information and cross-species comparisons. Manually curated. | Mammalian, cis, trans, regulatory, element, mapped, genome, gene, regulation, function, data, FASEB list |
uses: GenBank uses: Eukaryotic Promoter Database uses: DBTSS: Database of Transcriptional Start Sites has parent organization: Cold Spring Harbor Laboratory |
NCI ; NHGRI HG001696 |
PMID:17202159 | Free, Freely available | nif-0000-03585 | SCR_005661 | Transcriptional Regulatory Element Database | 2026-09-12 01:01:38 | 79 | |||||
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Tractor db Resource Report Resource Website 1+ mentions |
Tractor db (RRID:SCR_005610) | Tractor db | data or information resource, database | Database of computationally predicted Transcription Factors and binding sites in gamma-proteobacterial genomes. The user may browse a map containing all known E. coli transcription factors and regulatory interactions that connect them, and retrieve information on the conservation of each regulatory interaction across the 30 organisms included in the database. Downloading the information is straightforward, and navigation tabs added to dynamic pages ease navigation between the five interfaces of the database. The original prediction approach, based on the representation of binding sites through statistical models was complemented by a new approach that uses known E. coli regulatory sites as the basis for a pattern matching search of regulatory sites. The use of both approaches together resulted in a more intensive exploration of the sequence space of each regulator's binding site. These data should aid researchers in the design of microarray experiments and the interpretation of their results. They should also facilitate studies of Comparative Genomics of the regulatory networks of this group of organisms. | gamma-proteobacterial genome, transcription factor binding site, transcription factor, regulatory network, microarray, comparative genomicis, genome |
is listed by: OMICtools has parent organization: National Laboratory for Scientific Computing; Rio de Janeiro; Brazil has parent organization: National Laboratory for Scientific Computing; Rio de Janeiro; Brazil |
PMID:17088283 | OMICS_01863, nif-0000-03574 | http://www.bioinfo.cu/Tractor_DB, http://www.tractor.lncc.br, http://www.ccg.unam.mx/tractorDB | SCR_005610 | Tractor_DB | 2026-09-12 01:01:38 | 3 | ||||||
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DFCI Center for Cancer Computational Biology Resource Report Resource Website |
DFCI Center for Cancer Computational Biology (RRID:SCR_012688) | DFCI CCCB | access service resource, core facility, service resource | Core facility that provides the following services: Microarray and other genomic data analysis, MiSeq. The Center provides broad-based support for the generation, analysis, and interpretation of genomic and other large-scale data in the context of basic, clinical and translational research. The CCCB has three primary elements. * The CCCB sequencing facility offers a wide range of services to assist in the design and execution of next-generation sequencing projects. Utilizing the Illumina (Solexa) sequencing technology, they currently support a number of applications inlcuding ChIP-Seq, RNA-Seq, whole genome, whole exome, and targeted re-sequencing. * The analytical services and support platform aims to provide state-of-the-art assistance in the collection, management, analysis, and interpretation of large-scale data with a focus on data generated using ''''omic technologies. In addition, they offer software, services, and training designed to assist investigators in advancing their research. * The CCCB research program is focused on development of new methods for improving analysis and interpretation of genomic data through integration of diverse data types with the goal of creating open-source software tools to be made freely-available to the research community. | nucleic acid microarray assay, next generation sequencing, genome, genomic, microarray |
is listed by: ScienceExchange is listed by: Eagle I is related to: Dana-Farber Cancer Institute Labs and Facilities has parent organization: Dana-Farber Cancer Institute |
Cancer | SciEx_8878 | http://harvard.eagle-i.net/i/0000012e-59a5-5f86-55da-381e80000000, http://www.scienceexchange.com/facilities/center-for-cancer-computational-biology-cccb-harvard | SCR_012688 | Dana-Farber Cancer Institute Center for Cancer Computational Biology, DFCI Center for Cancer Computational Biology (CCCB) | 2026-09-12 01:03:45 | 0 | ||||||
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Wellcome-CTC Mouse Strain SNP Genotype Set Resource Report Resource Website 1+ mentions |
Wellcome-CTC Mouse Strain SNP Genotype Set (RRID:SCR_003216) | Wellcome-CTC Mouse Strain SNP Genotype Set | data or information resource, data set | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. Data set of genotypes available for 480 strains and 13370 successful SNP assays that are mapped to build34 of the mouse genome, including 107 SNPs that are mapped to random unanchored sequence 13374 SNPs are mapped onto Build 33 of the mouse genome. You can access the data relative to Build 33 or Build 34. | genome, genotype, snp, chromosome, haplotype, haplotype structure, recombinant inbred mouse strain | has parent organization: Wellcome Trust Centre for Human Genetics | Wellcome Trust ; NCRR R24RR015116; NIGMS R01GM072863; NIAAA U01AA014425; NINDS R01NS049445; NIMH P20-MH 62009; NIAAA U24AA13513 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156947 | SCR_003216 | 2026-09-12 01:03:13 | 3 | |||||||
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A Whole Genome Admixture Scan for Type 2 Diabetes in African Americans Resource Report Resource Website 1+ mentions |
A Whole Genome Admixture Scan for Type 2 Diabetes in African Americans (RRID:SCR_006984) | data or information resource, data set | Genomic data set on Type 2 Diabetes in African-Americans derived via admixture mapping, a method for genome-wide association analysis based on admixture-generated linkage disequilibrium. This collaborative group has identified 1,478 African Americans with Type 2 Diabetes (T2D) from the Jackson Heart Study and Multiethnic Cohort Study, as well as 498 controls from the Jackson Heart Study who are normoglycemic despite high body mass index and older age. All samples were genotyped (using the Illumina BeadLab platform) for 1,291 polymorphic markers chosen to be extremely different in frequency between west Africans and European Americans. Evidence for association to diabetes at each marker as reported by the ANCESTRYMAP software are reported in the downloadable table. They calculate that this study has statistical power to detect loci where African or European ancestry on average confers multiplicative increased risk of 1.35-fold or more. The fact that they did not detect a statistically significant signal of association in the scan suggests that any genetic risk factors for T2D do not confer different risks due to ancestry that differ by this factor. The genome scan results are publicly available (Excel file) prior to publication so that researchers interested in the genetics of T2D can use the results of the scan to prioritize follow-up of any regions of interest. | admixture, genome, gwas, disequilibrium, normoglycemic, genotyped, polymorphic, marker, diabetes, clinical study, phenotype, african american, aging |
is related to: Jackson Heart Study has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
Diabetes | Eli and Edythe L. Broad | Genome scan is available for download as CSV | nif-0000-30020 | SCR_006984 | Diabetes Genetics Initiative | 2026-09-12 01:03:16 | 1 | ||||||
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EyeBrowse Resource Report Resource Website 1+ mentions |
EyeBrowse (RRID:SCR_008000) | data or information resource, data set |
EyeBrowse displays expressed sequence tag (EST) cDNA clones from eye tissues (derived from NEIBank and other sources) aligned with current versions of the human, rhesus, mouse, rat, dog, cow, chicken, or zebrafish genomes, including reference sequences for known genes. This gives a simplified view of gene expression activity from different parts of the eye across the genome. The data can be interrogated in several ways. Specific gene names can be entered into the search window. Alternatively, regions of the genome can be displayed. For example, entering two STS markers separated by a semicolon (e.g. RH18061;RH80175) allows the display of the entire chromosomal region associated with the mapping of a specific disease locus. ESTs for each tissue can then be displayed to help in the selection of candidate genes. In addition, sequences can be entered into a BLAT search and rapidly aligned on the genome, again showing eye derived ESTs for the same region. EyeBrowse includes a custom track display SAGE data for human eye tissues derived from the EyeSAGE project. The track shows the normalized sum of SAGE tag counts from all published eye-related SAGE datasets centered on the position of each identifiable Unigene cluster. This indicates relative activity of each gene locus in eye. Clicking on the vertical count bar for a particular location will bring up a display listing gene details and linking to specific SAGE counts for each eye SAGE library and comparisons with normalized sums for neural and non-neural tissues. To view or alter settings for the EyeSAGE track on EyeBrowse, click on the vertical gray bar at the left of the display. Other custom tracks display known eye disease genes and mapped intervals for candidate loci for retinal disease, cataract, myopia and cornea disease. These link back to further information at NEIBank. For mouse, there is custom track data for ChIP-on-Chip of RNA-Polymerase-II during photoreceptor maturation. |
est, expressed sequence tag, eye, gene, genome, cataract, cdna, chicken, clone, cluster, cornea, cornea disease, cow, data, disease, dog, human, locus, maturation, mouse, myopia, photoreceptor, rat, retina, rhesus, rna polymerase-ii, tag, zebrafish, data analysis software, eye tracking device |
is listed by: 3DVC has parent organization: University of California at Santa Cruz; California; USA |
Retinal disease, Cataract, Myopia, Cornea disease | NEIBank | nif-0000-07733 | SCR_008000 | EyeBrowse | 2026-09-12 01:03:17 | 3 |
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