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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | data or information resource, database |
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 | 2026-02-14 02:06:06 | 4486 | |||
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Human Proteomics Initiative Resource Report Resource Website |
Human Proteomics Initiative (RRID:SCR_002373) | HPI | data or information resource, database | 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 IT HAS BEEN REPLACED BY A NEW UniProtKB/Swiss-Prot ANNOTATION PROGRAM CALLED UniProt Chordata protein annotation program.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 | 2026-02-14 02:05:47 | 0 | ||||||
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Human Gene and Protein Database (HGPD) Resource Report Resource Website 1+ mentions |
Human Gene and Protein Database (HGPD) (RRID:SCR_002889) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4,2023.The Human Gene and Protein Database presents SDS-PAGE patterns and other informations of human genes and proteins. The HGPD was constructed from full-length cDNAs. For conversion to Gateway entry clones, we first determined an open reading frame (ORF) region in each cDNA meeting the criteria. Those ORF regions were PCR-amplified utilizing selected resource cDNAs as templates. All the details of the construction and utilization of entry clones will be published elsewhere. Amino acid and nucleotide sequences of an ORF for each cDNA and sequence differences of Gateway entry clones from source cDNAs are presented in the GW: Gateway Summary window. Utilizing those clones with a very efficient cell-free protein synthesis system featuring wheat germ, we have produced a large number of human proteins in vitro. Expressed proteins were detected in almost all cases. Proteins in both total and supernatant fractions are shown in the PE: Protein Expression window. In addition, we have also successfully expressed proteins in HeLa cells and determined subcellular localizations of human proteins. These biological data are presented on the frame of cDNA clusters in the Human Gene and Protein Database. To build the basic frame of HGPD, sequences of FLJ full-length cDNAs and others deposited in public databases (Human ESTs, RefSeq, Ensembl, MGC, etc.) are assembled onto the genome sequences (NCBI Build 35 (UCSC hg17)). The majority of analysis data for cDNA sequences in HGPD are shared with the FLJ Human cDNA Database (http://flj.hinv.jp/) constructed as a human cDNA sequence analysis database focusing on mRNA varieties caused by variations in transcription start site (TSS) and splicing. | gene, cdna clusters, cdnas, cdna sequences, human, in vitro, mrna varieties, protein, sds-page | has parent organization: National Institute of Advanced Industrial Science and Technology | PMID:22140100 PMID:19073703 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02956 | SCR_002889 | HGPD | 2026-02-14 02:06:11 | 6 | |||||||
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EchoBASE Resource Report Resource Website 1+ mentions |
EchoBASE (RRID:SCR_002430) | EchoBASE | data or information resource, database | A database that curates new experimental and bioinformatic information about the genes and gene products of the model bacterium Escherichia coli K-12 strain MG1655. It has been created to integrate information from post-genomic experiments into a single resource with the aim of providing functional predictions for the 1500 or so gene products for which we have no knowledge of their physiological function. While EchoBASE provides a basic annotation of the genome, taken from other databases, its novelty is in the curation of post-genomic experiments and their linkage to genes of unknown function. Experiments published on E. coli are curated to one of two levels. Papers dealing with the determination of function of a single gene are briefly described, while larger dataset are actually included in the database and can be searched and manipulated. This includes data for proteomics studies, protein-protein interaction studies, microarray data, functional genomic approaches (looking at multiple deletion strains for novel phenotypes) and a wide range of predictions that come out of in silico bioinformatic approaches. The aim of the database is to provide hypothesis for the functions of uncharacterized gene products that may be used by the E. coli research community to further our knowledge of this model bacterium. | gene, bio.tools |
is listed by: bio.tools is listed by: Debian |
GlaxoSmithKline ; BBSRC |
PMID:15608209 | nif-0000-02781, biotools:echobase, r3d100011646 | https://bio.tools/echobase https://doi.org/10.17616/R38W6H |
SCR_002430 | EchoBASE: an integrated post-genomic database for Escherichia coli | 2026-02-14 02:06:10 | 6 | |||||
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Greengenes Resource Report Resource Website 1000+ mentions |
Greengenes (RRID:SCR_002830) | data or information resource, database | Database that provides access to the current and comprehensive 16S rRNA gene sequence alignment for browsing, blasting, probing, and downloading. The data and tools can assist the researcher in choosing phylogenetically specific probes, interpreting microarray results, and aligning/annotating novel sequences. The 16S rRNA gene database provides chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. ARB users can use Greengenes to update local databases., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | microbiome, rrna, 16s rrna, gene, dna, rna, chimera, alignment, taxonomic classification, taxonomy, FASEB list |
is listed by: OMICtools is listed by: re3data.org is listed by: Human Microbiome Project has parent organization: Lawrence Berkeley National Laboratory |
Department of Energy contract DE-AC02-05CH11231 | PMID:16820507 | Free, Freely available | OMICS_01512, r3d100010549, nif-0000-02927 | http://greengenes.lbl.gov https://doi.org/10.17616/R36C8G |
SCR_002830 | 2026-02-14 02:05:48 | 3125 | ||||||
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AceView Resource Report Resource Website 100+ mentions |
AceView (RRID:SCR_002277) | AceView/WormGenes | data or information resource, database | 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 | 2026-02-14 02:05:39 | 186 | |||||
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Phenoscape Knowledgebase Resource Report Resource Website 10+ mentions |
Phenoscape Knowledgebase (RRID:SCR_002821) | Phenoscape Knowledgebase | data or information resource, database | Knowledgebase that uses ontologies to integrate phenotypic data from genetic studies of zebrafish with evolutionary variable phenotypes from the systematic literature of ostariophysan fishes. Users can explore the data by searching for anatomical terms, taxa, or gene names. The expert system enables the broad scale analysis of phenotypic variation across taxa and the co-analysis of these evolutionarily variable features with the phenotypic mutants of model organisms. The Knowledgebase currently contains 565,158 phenotype statements about 2,527 taxa, sourced from 57 publications, as well as 38,189 phenotype statements about 4,727 genes, retrieved from ZFIN. 2013-01-26. | fish, gene, anatomy, model organism, ostariophysan, phenotype, taxis, ontology, anatomy, variation, taxon, genetic, evolution, development, web service, source code |
uses: Teleost Anatomy Ontology is related to: Zebrafish Information Network (ZFIN) is related to: Catalog of Fishes is related to: FishBase is related to: AmphibiaWeb is related to: NCBI Taxonomy is related to: Catalogue of Life has parent organization: NESCent - National Evolutionary Synthesis Center has parent organization: Phenoscape is parent organization of: Teleost Taxonomy Ontology |
NSF DBI-1062404; NSF DBI-1062542; NSF EF-0905606; NSF BDI-0641025; NSF EF-0423641 |
PMID:22736877 PMID:20505755 |
Free, Freely available | nif-0000-24925 | SCR_002821 | 2026-02-14 02:06:09 | 14 | ||||||
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Familial Hypertrophic Cardiomyopathy DNA Mutation Database Resource Report Resource Website 1+ mentions |
Familial Hypertrophic Cardiomyopathy DNA Mutation Database (RRID:SCR_002346) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The aim of this locus-specific mutation database was to provide an online resource that contains summarized and updated information on familial hypertrophic cardiomyopathy (FHC)-associated mutations and related data, for researchers and clinicians. It also serves as a means of publishing previously unpublished data, which could be of value in understanding genotype/phenotype correlations. This database contains mutations in various genes known to cause familial hypertrophic cardiomyopathy, a genetic disorder associated with defects in the sarcomere [1]. Only gene symbols approved by HUGO are used and mutations are reported in accordance with guidelines recommended by the Mutation Database Initiative of HUGO and EBI. | familial, gene, gene-, genetic, cardiomyopathy, clinic, correlation, defect, disorder, genotype, hypertrophic, locus, mutation, or disease- specific databases, phenotype, research, sarcomere, system- | PMID:10502780 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21151 | SCR_002346 | FHC Mutation Database | 2026-02-14 02:06:07 | 2 | ||||||||
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DBTBS Resource Report Resource Website 10+ mentions |
DBTBS (RRID:SCR_002345) | DBTBS | data or information resource, database | Database of experimentally validated gene regulatory relations and the corresponding transcription factor binding sites upstream of Bacillus subtilis genes. The database allows the comparison of systematic experiments with individual experimental results in order to facilitate the elucidation of the complete B. subtilis gene regulatory network. The current version is constructed by surveying 947 references and contains the information of 120 binding factors and 1475 gene regulatory relations. For each promoter, all of its known cis-elements are listed according to their positions, while these cis-elements are aligned to illustrate the consensus sequence for each transcription factor. All probable transcription factors coded in the genome were classified using Pfam motifs. The DBTBS database was reorganized to show operons instead of individual genes as the building blocks of gene regulatory networks. It now contains 463 experimentally known operons, as well as their terminator sequences if identifiable. In addition, 517 transcriptional terminators were identified computationally. (De Hoon, M.J.L. et al., PLoS Comput. Biol. 1, e25 (2005)). A new section was added under "Motif conservation", which presents hexameric motifs found to be conserved to different extents between upstream intergenic regions of genus-specific subgroups of homologous proteins. | gene, gene regulatory network, transcription factor binding site, transcription factor, regulated operon, motif, promoter, motif conservation |
is listed by: OMICtools has parent organization: University of Tokyo; Tokyo; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:17962296 PMID:14681362 PMID:11125112 |
Acknowledgement requested | nif-0000-02736, OMICS_01859 | SCR_002345 | DBTBS: a database of Bacillus subtilis promoters and transcription factors., DBTBS: a database of Bacillus subtilis promoters and transcription factors | 2026-02-14 02:05:39 | 30 | |||||
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eggNOG Resource Report Resource Website 1000+ mentions |
eggNOG (RRID:SCR_002456) | eggNOG | data or information resource, database | A database of orthologous groups of genes. The orthologous groups are annotated with functional description lines (derived by identifying a common denominator for the genes based on their various annotations), with functional categories (i.e derived from the original COG/KOG categories). eggNOG's database currently counts 1.7 million orthologous groups in 3686 species, covering over 7.7 million proteins (built from 9.6 million proteins). (Jan 30, 2014) | orthologous gene, ortholog, gene, function, FASEB list |
is listed by: OMICtools has parent organization: European Molecular Biology Laboratory |
BMBF ; European Union FP6 |
PMID:24297252 PMID:22096231 |
Free, Available for download, Freely available | nif-0000-02789, OMICS_01689 | SCR_002456 | eggNOG: evolutionary genealogy of genes: Non-supervised Orthologous Groups, eggNOG (evolutionary genealogy of genes: Non-supervised Orthologous Groups), evolutionary genealogy of genes: Non-supervised Orthologous Groups | 2026-02-14 02:06:10 | 3564 | |||||
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EDAS - EST-Derived Alternative Splicing Database Resource Report Resource Website 1+ mentions |
EDAS - EST-Derived Alternative Splicing Database (RRID:SCR_002449) | EDAS | data or information resource, database | Databases of alternatively spliced genes with data on the alignment of proteins, mRNAs, and EST. It contains information on all exons and introns observed, as well as elementary alternatives formed from them. The database makes it possible to filter the output data by changing the cut-off threshold by the significance level. It contains splicing information on human, mouse, dog (not yet functional) and rat (not yet functional). For each database, users can search by keyword or by overall gene expression. They can also view genes based on chromosomal arrangement or other position in genome (exon, intron, acceptor site, donor site), functionality, position, conservation, and EST coverage. Also offered is an online Fisher test. | alternative splicing, gene, protein, mrna, est, exon, intron, rat, dog |
is listed by: OMICtools has parent organization: Moscow State University; Moscow; Russia |
PMID:16909834 | Free, Freely available | nif-0000-02786, OMICS_01885 | SCR_002449 | EDAS: EST Derived Alternative Splicing Database, EST Derived Alternative Splicing Database | 2026-02-14 02:06:07 | 1 | ||||||
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ConsensusPathDB Resource Report Resource Website 500+ mentions |
ConsensusPathDB (RRID:SCR_002231) | CPDB | data or information resource, database | An integrative interaction database that integrates different types of functional interactions from heterogeneous interaction data resources. Physical protein interactions, metabolic and signaling reactions and gene regulatory interactions are integrated in a seamless functional association network that simultaneously describes multiple functional aspects of genes, proteins, complexes, metabolites, etc. With human, yeast and mouse complex functional interactions, it currently constitutes the most comprehensive publicly available interaction repository for these species. Different ways of utilizing these integrated interaction data, in particular with tools for visualization, analysis and interpretation of high-throughput expression data in the light of functional interactions and biological pathways is offered. | gene regulatory network, pathway, gene regulatory network, molecular interaction, interaction, gene regulation, protein interaction, genetic interaction, biochemical reaction, drug-target interaction, molecule, visualization, gene, protein, complex, metabolite, FASEB list |
is listed by: OMICtools is related to: BIND is related to: BioCarta Pathways is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: CORUM is related to: Database of Interacting Proteins (DIP) is related to: DrugBank is related to: HPRD - Human Protein Reference Database is related to: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism is related to: Integrating Network Objects with Hierarchies is related to: InnateDB is related to: IntAct is related to: KEGG is related to: MINT is related to: MIPS Mammalian Protein-Protein Interaction Database is related to: MatrixDB is related to: NetPath is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: PDZBase is related to: Pathway Interaction Database is related to: PIG - Pathogen Interaction Gateway is related to: PINdb is related to: PharmGKB is related to: PhosphoPOINT is related to: PhosphoSitePlus: Protein Modification Site is related to: Reactome is related to: Small Molecule Pathway Database is related to: SignaLink is related to: SPIKE is related to: Therapeutic Target Database is related to: WikiPathways has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany |
European Union HEALTH-F4-2007-200767 | PMID:23143270 PMID:21071422 PMID:20847220 PMID:18940869 |
Free, Freely available | nif-0000-02684, OMICS_01903, r3d100012822 | https://doi.org/10.17616/R3HF8Z | SCR_002231 | ConsensusPathDB, ConsensusPathDB-human | 2026-02-14 02:06:06 | 667 | ||||
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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) | data or information resource, database | 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 | 2026-02-14 02:05:47 | 2 | ||||||||
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RIKEN Arabidopsis Transposon mutants Resource Report Resource Website |
RIKEN Arabidopsis Transposon mutants (RRID:SCR_003230) | RIKEN Arabidopsis Transposon mutants | data or information resource, database | RIKEN Arabidopsis Transposon mutants is a series of mutant lines which have a Ds transposon in the genome of Arabidopsis thaliana Nssen ecotype (background by Fedoroff and Smith). This web page provides information on the mutants produced in our laboratory. Each mutant line is assigned by stipulated line codes (ex. 13-4480-1). We determined the flanking sequences of Ds insertion for each independent line. Transposon insertion sites of mutants were estimated by a BLASTN homology against the genome sequence database of Arabidopsis thaliana Columbia ecotype. The closest genes (predicted by AGI) to the transposon insertion sites were picked up. The results of the BLASTP homology search against the nr database of NCBI for the closest genes have been collected for keyword searches. | gene, mutant, arabidopsis thaliana, transposon | has parent organization: RARGE - RIKEN Arabidopsis Genome Encyclopedia | PMID:15840642 | Free, Freely available | nif-0000-31394 | http://rarge-v2.psc.riken.jp/about/line | SCR_003230 | 2026-02-14 02:05:43 | 0 | ||||||
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PReMod Resource Report Resource Website 10+ mentions |
PReMod (RRID:SCR_003403) | PReMod | data or information resource, database | Database that describes more than 100,000 computational predicted transcriptional regulatory modules within the human genome. These modules represent the regulatory potential for 229 transcription factors families and are the first genome-wide / transcription factor-wide collection of predicted regulatory modules for the human genome. The algorithm used involves two steps: (i) Identification and scoring of putative transcription factor binding sites using 481 TRANSFAC 7.2 position weight matrices (PWMs) for vertebrate transcription factors. To this end, each non-coding position of the human genome was evaluated for its similarity to each PWM using a log-likelihood ratio score with a local GC-parameterized third-order Markov background model. Corresponding orthologous positions in mouse and rat genomes were evaluated similarly and a weighted average of the human, mouse, and rat log-likelihood scores at aligned positions (based on a Multiz (Blanchette et al. 2004) genome-wide alignment of these three species) was used to define the matrix score for each genomic position and each PWM. (ii) Detection of clustered putative binding sites. To assign a module score to a given region, the five transcription factors with the highest total scoring hits are identified, and a p-value is assigned to the total score observed of the top 1, 2, 3, 4, or 5 factors. The p-value computation takes into consideration the number of factors involved (1 to 5), their total binding site scores, and the length and GC content of the region under evaluation. Users can retrieve all information for a given region, a given PWM, a given gene and so on. Several options are given for textual output or visualization of the data. | cis-regulatory module, genome, transcription factor binding site, chromosome, module, predict, gene |
is listed by: OMICtools has parent organization: McGill University; Montreal; Canada |
PMID:17148480 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03334, OMICS_01873 | SCR_003403 | Predicted Regulatory Modules | 2026-02-14 02:06:14 | 11 | ||||||
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Interrupted CoDing Sequence Database Resource Report Resource Website |
Interrupted CoDing Sequence Database (RRID:SCR_002949) | ICDS Database | data or information resource, database | 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 | 2026-02-14 02:05:48 | 0 | |||||||
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Rat Gene Symbol Tracker Resource Report Resource Website 10+ mentions |
Rat Gene Symbol Tracker (RRID:SCR_003261) | RGST | data or information resource, database | 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 September 2, 2016. Database for defining official rat gene symbols. It includes rat gene symbols from three major sources: the Rat Genome Database (RGD), Ensembl, and NCBI-Gene. All rat symbols are compared with official symbols from orthologous human genes as specified by the Human Gene Nomenclature Committee (HGNC). Based on the outcome of the comparisons, a rat gene symbol may be selected. Rat symbols that do not match a human ortholog undergo a strict procedure of comparisons between the different rat gene sources as well as with the Mouse Genome Database (MGD). For each rat gene this procedure results in an unambiguous gene designation. The designation is presented as a status level that accompanies every rat gene symbol suggested in the database. The status level describes both how a rat symbol was selected, and its validity. Rat Gene Symbol Tracker approves rat gene symbols by an automatic procedure. The rat genes are presented with links to RGD, Ensembl, NCBI Gene, MGI and HGNC. RGST ensures that each acclaimed rat gene symbol is unique and follows the guidelines given by the RGNC. To each symbol a status level associated, describing the gene naming process. | gene, orthology, naming, gene symbol, nomenclature, human, mouse |
is related to: Rat Genome Database (RGD) is related to: Entrez Gene is related to: Ensembl is related to: Mouse Genome Informatics (MGI) is related to: HGNC has parent organization: RatMap |
Swedish MRC ; Nilsson-Ehle Foundation ; Sven and Lilly Lawski Foundation ; Erik Philip-Sorensen Foundation ; Wilhelm and Martina Lundgren Research Foundation ; SWEGENE Foundation |
PMID:18215257 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31426 | SCR_003261 | RGST (Rat Gene Symbol Tracker), RGST - Rat Gene Symbol Tracker | 2026-02-14 02:06:11 | 14 | |||||
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ASAP: the Alternative Splicing Annotation Project Resource Report Resource Website 10+ mentions |
ASAP: the Alternative Splicing Annotation Project (RRID:SCR_003415) | ASAP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on 8/12/13. Database to access and mine alternative splicing information coming from genomics and proteomics based on genome-wide analyses of alternative splicing in human (30 793 alternative splice relationships found) from detailed alignment of expressed sequences onto the genomic sequence. ASAP provides precise gene exon-intron structure, alternative splicing, tissue specificity of alternative splice forms, and protein isoform sequences resulting from alternative splicing. They developed an automated method for discovering human tissue-specific regulation of alternative splicing through a genome-wide analysis of expressed sequence tags (ESTs), which involves classifying human EST libraries according to tissue categories and Bayesian statistical analysis. They use the UniGene clusters of human Expressed Sequence Tags (ESTs) to identify splices. The UniGene EST's are clustered so that a single cluster roughly corresponds to a gene (or at least a part of a gene). A single EST represents a portion of a processed (already spliced) mRNA. A given cluster contains many ESTs, each representing an outcome of a series of splicing events. The ESTs in UniGene contain the different mRNA isoforms transcribed from an alternatively spliced gene. They are not predicting alternative splicing, but locating it based on EST analysis. The discovered splices are further analyzed to determine alternative splicing events. They have identified 6201 alternative splice relationships in human genes, through a genome-wide analysis of expressed sequence tags (ESTs). Starting with 2.1 million human mRNA and EST sequences, they mapped expressed sequences onto the draft human genome sequence and only accepted splices that obeyed the standard splice site consensus. After constructing a tissue list of 46 human tissues with 2 million human ESTs, they generated a database of novel human alternative splices that is four times larger than our previous report, and used Bayesian statistics to compare the relative abundance of every pair of alternative splices in these tissues. Using several statistical criteria for tissue specificity, they have identified 667 tissue-specific alternative splicing relationships and analyzed their distribution in human tissues. They have validated our results by comparison with independent studies. This genome-wide analysis of tissue specificity of alternative splicing will provide a useful resource to study the tissue-specific functions of transcripts and the association of tissue-specific variants with human diseases. | gene, genome, human, isoform, mechanism, metazoa, molecular, mrna, nucleus, process, protein, sequence, splice, tissue specificity, transcription, transcript, alternate splicing, microarray, alternative splicing, biological process, alternatively spliced isoform, contig, cancer, image |
is listed by: Biositemaps is related to: Alternative Splicing Annotation Project II Database has parent organization: University of California at Los Angeles; California; USA |
NSF 0082964; NSF DGE-9987641; DOE DEFG0387ER60615 |
PMID:12519958 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33105 | SCR_003415 | Alternative Splicing, Alternative Splicing Annotation Project, Alternative Splicing Annotation Project database | 2026-02-14 02:05:49 | 33 | |||||
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PHI-base Resource Report Resource Website 100+ mentions |
PHI-base (RRID:SCR_003331) | PHI-base | data or information resource, database | Database that catalogs experimentally verified pathogenicity, virulence and effector genes from fungal, Oomycete and bacterial pathogens, which infect animal, plant, fungal and insect hosts. It is an invaluable resource in the discovery of genes in medically and agronomically important pathogens, which may be potential targets for chemical intervention. In collaboration with the FRAC team, it also includes antifungal compounds and their target genes. Each entry is curated by domain experts and is supported by strong experimental evidence (gene disruption experiments, STM etc), as well as literature references in which the original experiments are described. Each gene is presented with its nucleotide and deduced amino acid sequence, as well as a detailed description of the predicted protein's function during the host infection process. To facilitate data interoperability, genes have been annotated using controlled vocabularies and links to external sources (Gene Ontology terms, EC Numbers, NCBI taxonomy, EMBL, PubMed and FRAC). | gene expression, pathogenic bacteria, virulence, infection, target site, gene, pathogen-host interaction, interaction, phenotype, pathogen, disease, host, anti-infective, nucleotide sequence, amino acid sequence, bio.tools, FASEB list |
is listed by: re3data.org is listed by: bio.tools is listed by: Debian |
BBSRC BB/1000488/1 | PMID:17942425 PMID:17153929 PMID:16381911 |
Free, Freely available | nif-0000-03276, r3d100011301, biotools:phi-base | https://bio.tools/phi-base https://doi.org/10.17616/R35D1V |
http://www4.rothamsted.bbsrc.ac.uk/phibase/ | SCR_003331 | Pathogen Host Interaction base, Pathogen Host Interaction, Pathogen Host Interaction-Base | 2026-02-14 02:05:43 | 198 | |||
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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 | data or information resource, database | 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 | 2026-02-14 02:05:42 | 368 |
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