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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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YanHuang Project Resource Report Resource Website 50+ mentions |
YanHuang Project (RRID:SCR_006077) | database, data or information resource | This database presents the entire DNA sequence of the first diploid genome sequence of a Han Chinese, a representative of Asian population. The genome, named as YH, represents the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years. It was assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified. The personal genome data is illustrated in a MapView, which is powered by GBrowse. A new module was developed to browse large-scale short reads alignment. This module enabled users track detailed divergences between consensus and sequencing reads. In total of 53,643 HGMD recorders were used to screen YH SNPs to retrieve phenotype related information, to superficially explain the donor's genome. Blast service to align query sequences against YH genome consensus was also provided. | genome, genetic, adult, chromosome, clinical, control, genomic, human, normal, FASEB list | has parent organization: BGI; Shenzhen; China | nif-0000-03654 | SCR_006077 | YH1 | 2026-08-04 09:41:30 | 53 | |||||||||
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Clinical Genomic Database Resource Report Resource Website 1+ mentions |
Clinical Genomic Database (RRID:SCR_006427) | CGD | database, data or information resource | Manually curated database of all conditions with known genetic causes, focusing on medically significant genetic data with available interventions. Includes gene symbol, conditions, allelic conditions, inheritance, age in which interventions are indicated, clinical categorization, and general description of interventions/rationale. Contents are intended to describe types of interventions that might be considered. Includes only single gene alterations and does not include genetic associations or susceptibility factors related to more complex diseases. | genomic sequencing, genome, clinical, pediatric, adult human, young human, genomic medicine, whole-genome sequencing, gene, organ system, intervention, gene symbol, condition, allelic condition, clinical categorization, manifestation, inheritance, age group, genetic variant, pathogenic mutation |
is used by: NIF Data Federation has parent organization: National Human Genome Research Institute |
NHGRI | PMID:23696674 | Free, Freely available | nlx_152872, r3d100012332 | https://doi.org/10.17616/R31D3C | SCR_006427 | Clinical Genomics Database | 2026-08-04 09:41:35 | 9 | ||||
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IGDB.NSCLC Resource Report Resource Website 1+ mentions |
IGDB.NSCLC (RRID:SCR_006048) | IGDB.NSCLC | database, data or information resource | IGDB.NSCLC database is aiming to facilitate and prioritize identified lung cancer genes and microRNAs for pathological and mechanistic studies of lung tumorigenesis and for developing new strategies for clinical interventions. We integrated and curated various lung cancer genomic datasets to present # lung cancer genes with somatic mutations, experimental supports and statistic significance in association with clinicopathological features; # genomic alterations with copy number alterations (CNA) detected by high density SNP arrays, gain or loss regions detected by arrayed comparative genome hybridization (aCGH), and loss of heterozygosity (LOH) detected by microsatellite markers; # aberrant expression of genes and microRNAs detected by various microarrays. IGDB.NSCLC database provides user friendly interfaces and searching functions to display multiple layers of evidence for detecting lung cancer target genes and microRNAs, especially emphasizing on concordant alterations: # genes with altered expression located in the CNA regions; # microRNAs with altered expression located in the CNA regions; # somatic mutation genes located in the CNA regions; and # genes associated with clinicopathological features located in the CNA regions. These concordant altered genes and miRNAs should be prioritized for further basic and clinical studies. | genomic database, non-small cell lung cancer, lung, pulmonary, cancer, genome, lung adenocarcinoma, squamous cell carcinoma, genomic alteration, lung tumorigenesis, copy number alteration, heterozygosity, gene, microrna, somatic mutation, clinical information, alteration, gene expression, microrna expression, somatic mutation, chromosome, lung cancer gene, aberrant expression, microarray, clinicopathology | has parent organization: Academia Sinica; Taipei; Taiwan | Non-small cell lung cancer, Lung cancer, Adenocarcinoma, Squamous Cell Carcinoma | National Research Program for Genomic Medicine NSC98-3112-B-001-004; National Research Program for Genomic Medicine NSC98-3112-B-001-031; National Science Council Taiwan NSC100-2325-B-001-012 |
PMID:22139933 | nlx_151446 | SCR_006048 | Integrated Genomic Database of Non-Small Cell Lung Cancer | 2026-08-04 09:41:30 | 5 | |||||
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NCBI Epigenomics Resource Report Resource Website 10000+ mentions |
NCBI Epigenomics (RRID:SCR_006151) | Epigenomics | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022. | genome-wide map, dna, histone, modification, epigenomic, genome, gold standard, gene mapping, gene amplification, genetic code, gene library, dna fingerprinting, chromatin, histone modification, dna methylation, dnaase footprinting, genome wide association study, gene expression |
is listed by: re3data.org is listed by: OMICtools is related to: Roadmap Epigenomics Project has parent organization: NCBI |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151643, OMICS_01848, r3d100010782 | https://doi.org/10.17616/R34K7J | http://www.ncbi.nlm.nih.gov/epigenomics | SCR_006151 | NCBI Epigenomic Gateway, National Center for Biotechnology Information Epigenomics, NCBI Epigenomic Hub | 2026-08-04 09:41:32 | 11568 | |||||
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Consensus CDS Resource Report Resource Website 100+ mentions |
Consensus CDS (RRID:SCR_006729) | CCDS | database, data or information resource | Database (anonymous FTP) resulting from a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations. Collaborators are EBI, NCBI, UCSC, WTSI and the initial results are also available from the participants'''' genome browser Web sites. In addition, CCDS identifiers are indicated on the relevant NCBI RefSeq and Entrez Gene records and in Map Viewer displays of RNA (RefSeq) and Gene annotations on the reference assembly. | human genome sequence, human protein, mouse genome sequence, mouse protein, protein coding region, gene, genome sequence, genome, sequence, gene annotation, protein, gold standard |
is listed by: OMICtools is related to: Entrez Gene is related to: HomoloGene is related to: MapViewer is related to: VEGA has parent organization: NCBI has parent organization: European Bioinformatics Institute has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom has parent organization: University of California at Santa Cruz; California; USA |
PMID:24217909 PMID:22434842 PMID:19498102 |
The community can contribute to this resource, Acknowledgement requested | nif-0000-02645, OMICS_01535 | http://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi | SCR_006729 | CCDS Database, NCBI Consensus CDS protein set, NCBI CCDS Database | 2026-08-04 09:41:41 | 230 | |||||
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NIH Rat Genomics and Genetics Resource Report Resource Website |
NIH Rat Genomics and Genetics (RRID:SCR_002267) | database, data or information resource | The Rat Genome Program was launched after the National Institutes of Health (NIH) realized the potential of rat models in understanding basic biology and human health and disease. The purpose of this NIH Rat Genomics and Genetics web site is to serve as a central point for information on NIH sponsored and related rat genetic and genomic activities and resources. It will provide information on: the follow up to recommendations made to the NIH; funding opportunities for rat genomic and genetic tools and resources; major rat genomic resources available and/or produced in response to the NIH Rat Program; courses and meetings related to rat genomics and genetics; and selected reports and publications. These programs have produced a wide variety of resources and a way to link and capitalize upon the data and resources of other model organisms and the human. In conjunction with and in addition to these programs, the NIH, through the RGWG, has convened advisory groups and workshops to discuss the opportunities that rat models offer and provide recommendations on the investments that are needed to capitalize on these opportunities. | biology, disease, genome, human health, model, rat | nif-0000-20991 | SCR_002267 | RGS | 2026-08-04 09:40:36 | 0 | ||||||||||
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COSMIC - Catalogue Of Somatic Mutations In Cancer Resource Report Resource Website 1000+ mentions |
COSMIC - Catalogue Of Somatic Mutations In Cancer (RRID:SCR_002260) | COSMIC | database, data or information resource |
Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats. Some key features of COSMIC are: * Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types. * Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines. |
cancer, mutation, somatic mutation, tumor, cancer genome, genome, gene, dna, tissue, histology, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Cancer | Wellcome Trust 077012/Z/05/Z | PMID:20952405 | Free | nif-0000-02690, biotools:cosmic, OMICS_00082 | http://www.sanger.ac.uk/perl/CGP/cosmic, https://bio.tools/cosmic | SCR_002260 | Catalogue Of Somatic Mutations In Cancer | 2026-08-04 09:40:36 | 4486 | |||
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ProTISA Resource Report Resource Website 1+ mentions |
ProTISA (RRID:SCR_002138) | ProTISA | database, data or information resource | Database of confirmed translation initiation sites (TISs) for prokaryotic genomes. The confirmed data has supporting evidence from different sources, including experiments records in the public protein database Swiss-Prot, literature, conserved domain search and sequence alignment among orthologous genes. Combing with predictions from the-state-of-the-art TIS predictor MED-Start/MED-StartPlus (in release 1.0 & 1.2) and TriTISA (since release 1.4) and annotations on potential regulatory signals, the database can serve as a refined annotation resource for the public database RefSeq. | translation initiation site, annotation, genome |
is listed by: OMICtools has parent organization: Peking University; Beijing; China |
PMID:17942412 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01871 | SCR_002138 | 2026-08-04 09:40:34 | 1 | |||||||
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Human Proteomics Initiative Resource Report Resource Website |
Human Proteomics Initiative (RRID:SCR_002373) | HPI | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 03, 2011. IT HAS BEEN REPLACED BY A NEW UniProtKB/Swiss-Prot ANNOTATION PROGRAM CALLED UniProt Chordata protein annotation program. The Human Proteome Initiative (HPI) aims to annotate all known human protein sequences, as well as their orthologous sequences in other mammals, according to the quality standards of UniProtKB/Swiss-Prot. In addition to accurate sequences, we strive to provide, for each protein, a wealth of information that includes the description of its function, domain structure, subcellular location, similarities to other proteins, etc. Although as complete as currently possible, the human protein set they provide is still imperfect, it will have to be reviewed and updated with future research results. They will also create entries for newly discovered human proteins, increase the number of splice variants, explore the full range of post-translational modifications (PTMs) and continue to build a comprehensive view of protein variation in the human population. The availability of the human genome sequence has enabled the exploration and exploitation of the human genome and proteome to begin. Research has now focused on the annotation of the genome and in particular of the proteome. With expert annotation extracted from the literature by biologists as the foundation, it has been possible to expand into the areas of data mining and automatic annotation. With further development and integration of pattern recognition methods and the application of alignments clustering, proteome analysis can now be provided in a meaningful way. These various approaches have been integrated to attach, extract and combine as much relevant information as possible to the proteome. This resource should be valuable to users from both research and industry. We maintain a file containing all human UniProtKB/Swiss-Prot entries. This file is updated at every biweekly release of UniProt and can be downloaded by FTP download, HTTP download or by using a mirroring program which automatically retrieves the file at regular intervals. | function, gene, alignment, biologist, clustering, coding, development, genome, human, location, mammalian, modification, ortholog, population, post-translational, protein, proteome, proteomic, proteomics, sequence, splice, structure, subcellular, variant, variation, gold standard |
is related to: UniProt Chordata protein annotation program has parent organization: SIB Swiss Institute of Bioinformatics |
PMID:11301130 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21199 | SCR_002373 | Human Proteome Initiative, UniProtKB/Swiss-Prot Human Proteome Initiative | 2026-08-04 09:40:37 | 0 | ||||||
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Organelle Genomics Resource Report Resource Website 1+ mentions |
Organelle Genomics (RRID:SCR_002137) | OGMP | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. It investigates mitochondrial genome diversity and evolution by systematically determining the complete mitochondrial DNA (mtDNA) sequences of a phylogenetically broad selection of protists. The mtDNAs of lower fungi and choanoflagellates are being analyzed by the Fungal Mitochondrial Genome Project (FMGP), a sister project to the OGMP. | genome, mitochondrial dna, mitochondrial genome, organelle | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20928, r3d100010926 | https://doi.org/10.17616/R3TG9G | SCR_002137 | Organelle Genome Megasequencing Program | 2026-08-04 09:40:34 | 1 | |||||||
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WebGeSTer DB Resource Report Resource Website 1+ mentions |
WebGeSTer DB (RRID:SCR_002165) | WebGeSTer DB | database, data or information resource | Database of intrinsic terminators of transcription that is comprized of >2,200,000 bacterial terminators identified from a total of 2036 chromosomes and 1508 plasmids. Information about structural parameters of individual terminators such as sequence, length of stem and loop, mismatches and gaps, U-trail, genomic coordinates and gene name and accession number is available in both tabular form and as a composite figure. Summary statistics for terminator profiles of whole genome can be also obtained. Raw data files for individual genomes can be downloaded (.zip files) for detailed investigations. Data is organized into different tiers such that users can fine-tune their search by entering name of the species, or taxon ID or genomes with a certain number of terminators. To visualize the occurrence of the terminators, an interactive map, with the resolution to single gene level, has been developed. | genome, terminator, transcription, plasmid, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:20972211 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:webgester_db, OMICS_01862 | https://bio.tools/webgester_db | SCR_002165 | WebGesTer Database, Web Genome Scannner for Terminators Database, WebGeSTer DB - A Transcription Terminator Database | 2026-08-04 09:40:34 | 5 | |||||
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Automatic Generated Test-Sets Database for Protein-Protein Docking Resource Report Resource Website |
Automatic Generated Test-Sets Database for Protein-Protein Docking (RRID:SCR_002281) | AGT-SDP | database, data or information resource | Database providing automatic test cases for protein-protein docking. A consensus-type approach is proposed processing the whole PDB and classifying protein structures into complexes and unbound proteins by combining information from three different approaches. Out of this classification test cases are generated automatically. All calculations were run on the database. The information stored is available via a web interface. The user can choose several criteria for generating his own subset out of the test cases, e.g. for testing docking algorithms. In unbound protein--protein docking, the complex of two proteins is predicted using the unbound conformations of the proteins (Halperin et al.,2002). For testing of docking algorithms, two unbound proteins which form a known complex have to be identified, so that the result of the docking algorithm can be compared to the known complex. For the identification of test cases, the structures taken from the PDB have to be classified as unbound proteins or complexes and unbound proteins with a 100% sequence identity to one complex part have to be searched. By now, most groups use handpicked test sets. The largest collection of test cases used so far is described by Chen et al. (Chen et al.,2003) and contains 31 test cases for unbound docking. Because of the exponential growth of available protein structures in the PDB, automatic generation of test cases will become more and more important in the future. | algorithm, alignment, classification, comparison, complex, conformation, design, docking, genome, primer, protein, rna, structure, unbound, protein domain, protein classification, protein-protein docking | has parent organization: Bielefeld University; North Rhine-Westphalia; Germany | DFG | PMID:15479711 | Acknowledgement requested, The community can contribute to this resource | nif-0000-21012 | SCR_002281 | 2026-08-04 09:40:37 | 0 | ||||||
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AceView Resource Report Resource Website 100+ mentions |
AceView (RRID:SCR_002277) | AceView/WormGenes | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented August 29, 2016. AceView offers an integrated view of the human, nematode and Arabidopsis genes reconstructed by co-alignment of all publicly available mRNAs and ESTs on the genome sequence. Our goals are to offer a reliable up-to-date resource on the genes and their functions and to stimulate further validating experiments at the bench. AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals' transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated. Our goals are to offer an up-to-date resource on the genes, in the hope to stimulate further experiments at the bench, or to help medical research. AceView can be queried by meaningful words or groups of words as well as by most standard identifiers, such as gene names, Entrez Gene ID, UniGene ID, GenBank accessions. | est, exon, expression, function, gene, alignment, arabidopsis, cdna, co-alignment, coding, disease, genome, genomic, human, intron, localization, mammal, mouse, mrna, nematode, pathway, phenotype, plant, polyadenylation, promoter, rat, sequence, signal, tissue, transcript, transcriptome, worm, blast, gold standard | has parent organization: NCBI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21007, r3d100010651 | https://doi.org/10.17616/R3260G | http://www.ncbi.nih.gov/IEB/Research/Acembly/ | SCR_002277 | AceView genes, AceView/WormGenes, The AceView Genes | 2026-08-04 09:40:36 | 186 | |||||
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RegPrecise Resource Report Resource Website 50+ mentions |
RegPrecise (RRID:SCR_002149) | RegPrecise | database, data or information resource | Collection of manually curated inferences of regulons in prokaryotic genomes. Database for capturing, visualization and analysis of transcription factor regulons that were reconstructed by comparative genomic approach in wide variety of prokaryotic genomes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | regulon, genome, transcription factor, gene, operon, transcription factor binding site, taxonomy, rna, effector, pathway, ortholog, function, FASEB list |
is listed by: OMICtools has parent organization: Lawrence Berkeley National Laboratory |
Department of Energy ; NSF DBI-0850546 |
PMID:24175918 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01869 | SCR_002149 | 2026-08-04 09:40:34 | 80 | ||||||
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Full-Malaria: Malaria Full-Length cDNA Database Resource Report Resource Website 1+ mentions |
Full-Malaria: Malaria Full-Length cDNA Database (RRID:SCR_002348) | database, data or information resource | FULL-malaria is a database for a full-length-enriched cDNA library from the human malaria parasite Plasmodium falciparum. Because of its medical importance, this organism is the first target for genome sequencing of a eukaryotic pathogen; the sequences of two of its 14 chromosomes have already been determined. However, for the full exploitation of this rapidly accumulating information, correct identification of the genes and study of their expression are essential. Using the oligo-capping method, this database has produced a full-length-enriched cDNA library from erythrocytic stage parasites and performed one-pass reading. The database consists of nucleotide sequences of 2490 random clones that include 390 (16%) known malaria genes according to BLASTN analysis of the nr-nt database in GenBank; these represent 98 genes, and the clones for 48 of these genes contain the complete protein-coding sequence (49%). On the other hand, comparisons with the complete chromosome 2 sequence revealed that 35 of 210 predicted genes are expressed, and in addition led to detection of three new gene candidates that were not previously known. In total, 19 of these 38 clones (50%) were full-length. From these observations, it is expected that the database contains approximately 1000 genes, including 500 full-length clones. It should be an invaluable resource for the development of vaccines and novel drugs. Full-malaria has been updated in at least three points. (i) 8934 sequences generated from the addition of new libraries added so that the database collection of 11,424 full-length cDNAs covers 1375 (25%) of the estimated number of the entire 5409 parasite genes. (ii) All of its full-length cDNAs and GenBank EST sequences were mapped to genomic sequences together with publicly available annotated genes and other predictions. This precisely determined the gene structures and positions of the transcriptional start sites, which are indispensable for the identification of the promoter regions. (iii) A total of 4257 cDNA sequences were newly generated from murine malaria parasites, Plasmodium yoelii yoelii. The genome/cDNA sequences were compared at both nucleotide and amino acid levels, with those of P.falciparum, and the sequence alignment for each gene is presented graphically. This part of the database serves as a versatile platform to elucidate the function(s) of malaria genes by a comparative genomic approach. It should also be noted that all of the cDNAs represented in this database are supported by physical cDNA clones, which are publicly and freely available, and should serve as indispensable resources to explore functional analyses of malaria genomes. Sponsors: This database has been constructed and maintained by a Grant-in-Aid for Publication of Scientific Research Results from the Japan Society for the Promotion of Science (JSPS). This work was also supported by a Special Coordination Funds for Promoting Science and Technology from the Science and Technology Agency of Japan (STA) and a Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Science, Sports and Culture of Japan. | drug, eukaryotic, expression, function, gene, alignment, amino acid, cdna, chromosome, clone, coding, comparative, genome, genomic, human, malaria, medical, nucleotide, oligo-capping, organism, parasite, pathogen, physical, plasmodium falciparum, promoter, protein, region, sequence, sequencing, unicellular eukaryote genome databases, vaccine | has parent organization: University of Tokyo; Tokyo; Japan | PMID:18987005 PMID:14681428 |
nif-0000-21157 | SCR_002348 | Full-Malaria | 2026-08-04 09:40:38 | 2 | ||||||||
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Human Gene Connectome Server Resource Report Resource Website 1+ mentions |
Human Gene Connectome Server (RRID:SCR_002627) | HGCS | data analysis service, analysis service resource, production service resource, service resource | An interactive web server that enables researchers to prioritize any list of genes by their biological proximity to defined core genes (i.e. genes that are known to be associated with the phenotype), and to predict novel gene pathways. | gene, disease, phenotype, genome, connectome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Human Gene Connectome |
PMID:23509278 | Free | nlx_156049, biotools:hgcs | https://bio.tools/hgcs | SCR_002627 | 2026-08-04 09:40:42 | 5 | ||||||
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Interrupted CoDing Sequence Database Resource Report Resource Website |
Interrupted CoDing Sequence Database (RRID:SCR_002949) | ICDS Database | database, data or information resource | Database of interrupted coding sequences detected by a similarity-based approach in complete prokaryotic genomes. The definition of each interrupted gene is provided as well as the ICDS genomic localization with the surrounding sequence. To facilitate the experimental characterization of ICDS, optimized primers are proposed for re-sequencing purposes. The database is accessible by BLAST search or by genome. 118 Genomes are available in the database. | genome, blast, interrupted coding sequence, gene | has parent organization: University of Strasbourg; Strasbourg; France | PMID:16381882 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03036 | SCR_002949 | 2026-08-04 09:40:46 | 0 | |||||||
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miRNAMap Resource Report Resource Website 100+ mentions |
miRNAMap (RRID:SCR_003156) | miRNAMap | database, data or information resource | A database of experimentally verified microRNAs and miRNA target genes in human, mouse, rat, and other metazoan genomes. In addition to known miRNA targets, three computational tools previously developed, such as miRanda, RNAhybrid and TargetScan, were applied for identifying miRNA targets in 3'-UTR of genes. In order to reduce the false positive prediction of miRNA targets, several criteria are supported for filtering the putative miRNA targets. Furthermore, miRNA expression profiles can provide valuable clues for investigating the properties of miRNAs, such tissue specificity and differential expression in cancer/normal cell. Therefore, we performed the Q-PCR experiments for monitoring the expression profiles of 224 human miRNAs in eighteen major normal tissues in human. The cross-reference between the miRNA expression profiles and the expression profiles of its target genes can provide effective viewpoint to understand the regulatory functions of the miRNA. | microrna, genome, FASEB list |
is listed by: OMICtools has parent organization: National Chiao Tung University; Hsinchu; Taiwan |
PMID:18029362 PMID:16381831 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03138, OMICS_00408 | SCR_003156 | 2026-08-04 09:40:50 | 246 | |||||||
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Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | data analysis service, analysis service resource, production service resource, service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-08-04 09:40:48 | 25 | ||||
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MITOMAP - A human mitochondrial genome database Resource Report Resource Website 100+ mentions |
MITOMAP - A human mitochondrial genome database (RRID:SCR_002996) | MITOMAP | database, data or information resource | Database of polymorphisms and mutations of the human mitochondrial DNA. It reports published and unpublished data on human mitochondrial DNA variation. All data is curated by hand. If you would like to submit published articles to be included in mitomap, please send them the citation and a pdf. | gene, genome, diabetes, disease, disease-association, high resolution screening, human, inversion, metabolism, mitochondrial dna, mutation, phenotype, polymorphism, polypeptide assignment, pseudogene, restriction site, rna, sequence, trna, unpublished, variation, mitochondria, dna, insertion, deletion, FASEB list |
is used by: HmtVar is listed by: OMICtools is related to: Hereditary Hearing Loss Homepage has parent organization: Childrens Hospital of Philadelphia - Research Institute; Pennsylvania; USA has parent organization: Emory University School of Medicine; Atlanta; Georgia; USA |
NIH ; Muscular Dystrophy Foundation ; Ellison Foundation ; Diputacion General de Aragon Grupos consolidados B33 ; NIGMS GM46915; NINDS NS21328; NHLBI HL30164; NIA AG10130; NIA AG13154; NINDS NS213L8; NHLBI HL64017; NIH Biomedical Informatics Training Grant T15 LM007443; NSF EIA-0321390; Spanish Fondo de Investigacion Sanitaria PI050647; Ciber Enfermedades raras CB06/07/0043 |
PMID:17178747 PMID:15608272 PMID:9399813 PMID:9016535 PMID:8594574 |
Except where otherwise noted, Creative Commons Attribution License, The community can contribute to this resource | nif-0000-00511, OMICS_01641 | SCR_002996 | 2026-08-04 09:40:47 | 368 |
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