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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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CMKB Resource Report Resource Website 1+ mentions |
CMKB (RRID:SCR_007229) | CMKB | data or information resource, database | It is a database of keys facts about proteins, families, and complexes involved in cell migration. This ongoing project provides a large amount of automated and curated data, collected from numerous online resources that are updated monthly. These data include names, synonyms, sequence information, summaries, CMC research data, reagents, structures, as well as protein family and complex details. CMKB''s ultimate goal is to create a database that will enable the cell migration community to conveniently access significant information about molecules of interest. This will also serve as a stepping stone to pathway analysis and demonstrate how these molecules coordinate with one another during cell adhesion and movement. Sponsors: This resource is supported by the Cell Migration Consortium. | cell, migration, knowledgebase, database, protein, family, data, sequence, synonyms, research, reagent, structure, protein, molecule, interest, pathway, adhesion, movement | nif-0000-30312 | SCR_007229 | Cell Migration Knowledgebase, The Cell Migration Knowledgebase | 2026-02-14 02:06:03 | 1 | |||||||||
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Alternate splicing gallery Resource Report Resource Website 1+ mentions |
Alternate splicing gallery (RRID:SCR_008129) | data or information resource, database | Alternative splicing essentially increases the diversity of the transcriptome and has important implications for physiology, development and the genesis of diseases. This resource uses a different approach to investigate alternative splicing (instead of the conventional case-by case fashion) and integrates all transcripts derived from a gene into a single splicing graph. ASG is a database of splicing graphs for human genes, using transcript information from various major sources (Ensembl, RefSeq, STACK, TIGR and UniGene). Each transcript corresponds to a path in the graph, and alternative splicing is displayed by bifurcations. This representation preserves the relationships between different splicing variants and allows us to investigate systematically all possible putative transcripts. Web interface allows users to display the splicing graphs, to interactively assemble transcripts and to access their sequences as well as neighboring genomic regions. ASG also provide for each gene, an exhaustive pre-computed catalog of putative transcriptsin total more than 1.2 million sequences. It has found that ~65 of the investigated genes show evidence for alternative splicing, and in 5 of the cases, a single gene might produce over 100 transcripts. | gallery, gene, genesis, alternative, development, disease, diversity, genomic, human, physiology, putative transcript, sequence, single, splice, splicing graph, transcript, transcriptome, variant, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-20932, biotools:alternative_splicing_gallery | https://bio.tools/alternative_splicing_gallery | SCR_008129 | ASG | 2026-02-14 02:06:12 | 1 | ||||||||
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Kinase Pathway Database Resource Report Resource Website 1+ mentions |
Kinase Pathway Database (RRID:SCR_008199) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. KinasePathwayDatabase is an integrated database concerning completed sequenced major eukaryotes, which contains the classification of protein kinases and their functional conservation and orthologous tables among species, protein-protein interaction data, domain information, structural information, and automatic pathway graph image interface. The protein-protein interactions are extracted by natural language processing (NLP) from abstracts using basic word pattern and protein name dictionary GENA: developed by our group. In this system, pathways are easily compared among species using protein interactions data more than 47,000 and orthologous tables. | eukaryote, functional, automatic, classification, conservation, domain, interaction, intermolecular interactions and signaling pathways databases, kinase, orthologous, pathway, protein, sequence, specie, structural, image | has parent organization: University of Tokyo; Tokyo; Japan | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21235 | SCR_008199 | Kinase Pathway Database | 2026-02-14 02:06:34 | 2 | ||||||||
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The Protein Coil Library Resource Report Resource Website 1+ mentions |
The Protein Coil Library (RRID:SCR_008233) | data or information resource, database | The Protein Coil Library is a library of protein structure fragments derived from the Protein Data Bank (PDB). The fragments in this library are those fragments in the PDB that cannot be classified as either alpha-helix or beta-strand. Three-dimensional structures as well as side-chain and backbone torsion angles are stored in the database. The Protein Coil Library allows rapid and comprehensive access to non-alpha-helix and non-beta-strand fragments contained in the Protein Data Bank (PDB). The library contains both sequence and structure information together with calculated torsion angles for both the backbone and side chains. Several search options are implemented, including a query function that uses output from popular PDB-culling servers directly. Additionally, several popular searches are stored and updated for immediate access. The library is a useful tool for exploring conformational propensities, turn motifs, and a recent model of the unfolded state. The library stores the complete torsion angle descriptions for the fragments as well as the three dimensional structures of the fragments themselves. The goal of extracting and pre-calculating this data is to allow for more straightforward investigation of peptide structure without the background of secondary structure elements. In addition to searching by PDB ID, it is possible to download a particular size class, perform a batch search of PDB/chain ID''s, or download precompiled lists of PDB ID''s of interest (PDB Select, etc.). For users interested in browsing the entire database at once or maintaining their own locally-updated copy of the library, FTP access instructions are also provided. The files stored in the coil library FTP site or returned after a batch search are organized heirarchically by PDB ID. This is done to reduce filesystem access times and fascilitate searches using the UNIX find utility. At the lowest directory level in the heirarchy, files are further sorted by fragment length. As a result, the number of files in a particular directory is generally less then 50, yielding relatively fast access on UNIX/Linux filesystems. The heirarchical organization is based on the middle two letters of the PDB ID. For example, hen egg lysozyme, which has a PDB ID of 1HEL, will be located in the directory h/he/. At the final level, fragments of varying sizes are stored in directories that correspond to their fragment length. Again, using lysozyme as an example, any seven-residue fragments, if they exist, will reside in the directory h/he/7/. Similarly, seven-residue fragments from 2HEX and 1HE0 will also be in this location. Sponsors: The Protein Coil Library is funded by Johns Hopkins University. | element, fragment, alpha helix, angle, backbone, beta, coil, lysozyme, peptide, protein, protein structure databases, secondary, sequence, side chain, strand, structure, torsion | has parent organization: Johns Hopkins University; Maryland; USA | nif-0000-21338 | SCR_008233 | The Coil Library | 2026-02-14 02:06:42 | 1 | |||||||||
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Ancient conserved untranslated sequences Resource Report Resource Website |
Ancient conserved untranslated sequences (RRID:SCR_008130) | ACUTS | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, Documented on August 12, 2014. Database that identifies new regulatory elements in untranslated regions of protein-coding genes (5 prime flanks, 5 prime UTRs, introns, 3 prime UTRs and 3 prime flanks). The analyses is focused on genes from metazoan species (essentially vertebrates, insects and nematodes). Information on highly conserved regions (sequences, alignments, annotations, bibliographic references) are compiled. Currently 176 out of 326 detected highly conserved regions (HCRs) have been analyzed and incorporated in the database. You can also access the list of annotated conserved elements and the list of conserved elements that remain to be processed. Their approach is based on comparative sequence analysis, for the identification of phylogenetic footprints. | echinoderm, footprint, fragment, functional, gene, alignment, analysis, annotation, chordate, cis-element, coding, degradation, divergence, dna, dnase, highly conserved region, homologous, intron, metazoan, mrna, non-coding, nucleotide, phylogenetic, post-transcriptional, promoter, protein, region, regulatory, segment, sequence, structural, transcriptional repressor, translation, untranslated region | has parent organization: Claude Bernard University Lyon 1; Lyon; France | PMID:9204283 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20934 | SCR_008130 | 2026-02-14 02:06:41 | 0 | |||||||
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Animal Genome Database Resource Report Resource Website 1+ mentions |
Animal Genome Database (RRID:SCR_008165) | data or information resource, database | Database of comparative gene mapping between species to assist the mapping of the genes related to phenotypic traits in livestock. The linkage maps, cytogenetic maps, polymerase chain reaction primers of pig, cattle, mouse and human, and their references have been included in the database, and the correspondence among species have been stipulated in the database. AGP is an animal genome database developed on a Unix workstation and maintained by a relational database management system. It is a joint project of National Institute of Agrobiological Sciences (NIAS) and Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries (STAFF-Institute), under cooperation with other related research institutes. AGP also contains the Pig Expression Data Explorer (PEDE), a database of porcine EST collections derived from full-length cDNA libraries and full-length sequences of the cDNA clones picked from the EST collection. The EST sequences have been clustered and assembled, and their similarity to sequences in RefSeq, and UniGene determined. The PEDE database system was constructed to store sequences and similarity data of swine full-length cDNA libraries and to make them available to users. It provides interfaces for keyword and ID searches of BLAST results and enables users to obtain sequence data and names of clones of interest. Putative SNPs in EST assemblies have been classified according to breed specificity and their effect on coding amino acids, and the assemblies are equipped with an SNP search interface. The database contains porcine nucleotide sequences and cDNA clones that are ready for analyses such as expression in mammalian cells, because of their high likelihood of containing full-length CDS. PEDE will be useful for researchers who want to explore genes that may be responsible for traits such as disease susceptibility. The database also offers information regarding major and minor porcine-specific antigens, which might be investigated in regard to the use of pigs as models in various medical research applications. | est, expression, gene, amino acid, animal, antigen, breed, cattle, cdna, cell, chain, clone, coding, cytogenetic, genome, human, linkage, livestock, mammalian, map, mouse, nucleotide, organism, phenotypic, pig, polymerase, porcine, primer, reaction, sequence, snp, specie, swine, trait | has parent organization: National Institute of Agrobiological Sciences; Ibaraki; Japan | nif-0000-21029 | SCR_008165 | AGP | 2026-02-14 02:06:12 | 1 | |||||||||
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Phylogenetic Clusters of Orthologous Groups Ranking Resource Report Resource Website 1+ mentions |
Phylogenetic Clusters of Orthologous Groups Ranking (RRID:SCR_008223) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 20,2019.The COG-database has become a powerful tool in the field of comparative genomics. The construction of this data-base is based on sequence homologies of proteins from different completely sequenced genomes. Highly homologous proteins are assigned to clusters of orthologous groups. The updated collection of orthologous protein sets for prokaryotes and eukaryotes is expected to be a useful platform for functional annotation of newly sequenced genomes, including those of complex eukaryotes, and genome-wide evolutionary studies. The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appears to be a natural framework for comparative genomics and should facilitate both functional annotation of genomes and large-scale evolutionary studies. Here is a major update of the previously developed system for delineation of Clusters of Orthologous Groups of proteins (COGs) from the sequenced genomes of prokaryotes and unicellular eukaryotes and the construction of clusters of predicted orthologs for 7 eukaryotic genomes, which we named KOGs after eukaryotic orthologous groups. The COG collection currently consists of 138,458 proteins, which form 4873 COGs and comprise 75% of the 185,505 (predicted) proteins encoded in 66 genomes of unicellular organisms. The eukaryotic orthologous groups (KOGs) include proteins from 7 eukaryotic genomes: three animals (the nematode Caenorhabditis elegans, the fruit fly Drosophila melanogaster and Homo sapiens), one plant, Arabidopsis thaliana, two fungi (Saccharomyces cerevisiae and Schizosaccharomyces pombe), and the intracellular microsporidian parasite Encephalitozoon cuniculi. The current KOG set consists of 4852 clusters of orthologs, which include 59,838 proteins, or approximately 54% of the analyzed eukaryotic 110,655 gene products. Compared to the coverage of the prokaryotic genomes with COGs, a considerably smaller fraction of eukaryotic genes could be included into the KOGs; addition of new eukaryotic genomes is expected to result in substantial increase in the coverage of eukaryotic genomes with KOGs. Examination of the phyletic patterns of KOGs reveals a conserved core represented in all analyzed species and consisting of approximately 20% of the KOG set. This conserved portion of the KOG set is much greater than the ubiquitous portion of the COG set (approximately 1% of the COGs). In part, this difference is probably due to the small number of included eukaryotic genomes, but it could also reflect the relative compactness of eukaryotes as a clade and the greater evolutionary stability of eukaryotic genomes. | elegans, encephalitozoon, eukaryote, evolutionary, fly, fruit, fungus, gene, general genomics databases, animal, arabidopsis, caenorhabditis, cerevisiae, classification, comparative, cuniculi, drosophila, genome, genomic, homo, homology, intracellular, melanogaster, microsporidian, nematode, organism, ortholog, orthologous, parasite, pattern, phyletic, phylogenetic, plant, pombe, prokaryote, protein, saccharomyces, sapiens, schizosaccharomyces, sequence, thaliana, tool, unicellular | has parent organization: National Institutes of Health | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21313 | SCR_008223 | PCOGR | 2026-02-14 02:06:13 | 3 | ||||||||
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Comparative Vertebrate Sequencing Resource Report Resource Website |
Comparative Vertebrate Sequencing (RRID:SCR_008213) | data or information resource, database | Generates data for use in developing and refining computational tools for comparing genomic sequence from multiple species. The NISC Comparative Sequencing Program's goal is to establish a data resource consisting of sequences for the same set of targeted genomic regions derived from multiple animal species. The broader program includes plans for a diverse set of analytical studies using the generated sequence and the publication of a series of papers describing the results of those analysis in peer-reviewed journals in a timely fashion. Experimentally, this project involves the shotgun sequencing of mapped BAC clones. For each BAC, an assembly is first performed when a sufficient number of sequence reads have been generated to provide full shotgun coverage of the clone. At that time, the assembled sequence is submitted to the HTGS division of GenBank. Subsequent refinements of the sequence, including the generation of higher-accuracy finished sequence, results in the updating of the sequence record in GenBank. By immediately submitting our BAC-derived sequences to GenBank, it makes their data available as a public service to allow colleagues to speed up their research, consistent with the now well-established routine of sequencing centers participating in the Human Genome Project. However, at the same time, it has made considerable investment in acquiring these mapping and sequence data, including sizable efforts of graduate students, postdoctoral fellows, and other trainees. Furthermore, in most cases, large data sets involving multiple BAC sequences from multiple species must first be generated, often taking many months to accumulate, before the planned analysis can be performed and the resulting papers written and submitted for publication. | accuracy, animal, bac, clone, comparative, computational, genome, genomic, human, map, mapping, model organisms and comparative genomics databases, sequence, specie, tool | has parent organization: National Institutes of Health | nif-0000-21291 | SCR_008213 | Comparative Vertebrate Sequencing | 2026-02-14 02:06:34 | 0 | |||||||||
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Metagenomics Program at JGI Resource Report Resource Website 1+ mentions |
Metagenomics Program at JGI (RRID:SCR_008804) | JGI Metagenomics Program | data or information resource, database | Portal providing access to metagenomics projects, data and tools supported by the DOE Joint Genome Institute (JGI). A primary motivation for metagenomics is that most microbes found in nature exist in complex, interdependent communities and cannot readily be grown in isolation in the laboratory. One can, however, isolate DNA or RNA from the community as a whole, and studies of such communities have revealed a diversity of microbes far beyond those found in culture collections. It is suspected that these uncultivated organisms must harbor considerable as-yet undiscovered genomic, functional, and metabolic features and capabilities. Thus to fully explore microbial genomics, it is imperative that we access the genomes of these elusive players. | genome, comparative analysis, metagenome, microbial, environment, terrestrial, aquatic, marine, freshwater, engineered, thermal spring, soil, host-associated, sequence, gene |
is listed by: 3DVC has parent organization: DOE Joint Genome Institute |
DOE | nlx_144368 | SCR_008804 | 2026-02-14 02:06:43 | 1 | ||||||||
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miRNEST Resource Report Resource Website 1+ mentions |
miRNEST (RRID:SCR_008907) | miRNEST | data or information resource, database | A database of animal, plant and virus microRNA data maintained at the University of Poznan. The database provides: * 9980 miRNA candiates from 420 animal and plant species predicted in Expressed Sequence Tags * predicted targets for plant candidates * RNA-seq reads mapped to candidates from 29 species * external data from 12 databases that includes sequences, polymorphism, expression and regulation. miRNEST 1.0, it contains miRNA from 563 animals, plants and viruses plant species. | microrna, expressed sequence tag, rna-seq read, sequence, polymorphism, mirna sequence, small rna sequence, single nucleotide polymorphism, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Adam Mickiewicz University in Poznan; Poznan; Poland |
European Social Fund ; Adam Mickiewicz University PBWB-08/2011; Polish Ministry of Science and Higher Education N N301 160935; Polish Ministry of Science and Higher Education N N516 441938 |
PMID:22135287 | nlx_151465, biotools:mirnest | http://mirnest.amu.edu.pl https://bio.tools/mirnest |
SCR_008907 | miRNEST - a database of animal and plant microRNAs | 2026-02-14 02:06:10 | 3 | |||||
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Mitelman Database of Chromosome Aberrations in Cancer Resource Report Resource Website 100+ mentions |
Mitelman Database of Chromosome Aberrations in Cancer (RRID:SCR_012877) | data or information resource, database | The web site includes genomic data for humans and mice, including transcript sequence, gene expression patterns, single-nucleotide polymorphisms, clone resources, and cytogenetic information. Descriptions of the methods and reagents used in deriving the CGAP datasets are also provided. An extensive suite of informatics tools facilitates queries and analysis of the CGAP data by the community. One of the newest features of the CGAP web site is an electronic version of the Mitelman Database of Chromosome Aberrations in Cancer. The data in the Mitelman Database is manually culled from the literature and subsequently organized into three distinct sub-databases, as follows: -The sub-database of cases contains the data that relates chromosomal aberrations to specific tumor characteristics in individual patient cases. It can be searched using either the Cases Quick Searcher or the Cases Full Searcher. -The sub-database of molecular biology and clinical associations contains no data from individual patient cases. Instead, the data is pulled from studies with distinct information about: -Molecular biology associations that relate chromosomal aberrations and tumor histologies to genomic sequence data, typically genes rearranged as a consequence of structural chromosome changes. -Clinical associations that relate chromosomal aberrations and/or gene rearrangements and tumor histologies to clinical variables, such as prognosis, tumor grade, and patient characteristics. It can be searched using the Molecular Biology and Clinical (MBC) Associations Searcher -The reference sub-database contains all the references culled from the literature i.e., the sum of the references from the cases and the molecular biology and clinical associations. It can be searched using the Reference Searcher. CGAP has developed six web search tools to help you analyze the information within the Mitelman Database: -The Cases Quick Searcher allows you to query the individual patient cases using the four major fields: aberration, breakpoint, morphology, and topography. -The Cases Full Searcher permits a more detailed search of the same individual patient cases as above, by including more cytogenetic field choices and adding search fields for patient characteristics and references. -The Molecular Biology Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to gene rearrangements as a consequence of cytogenetic aberrations. -The Clinical Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to clinical associations of cytogenetic aberrations and/or gene rearrangements. -The Recurrent Chromosome Aberrations Searcher provides a way to search for structural and numerical abnormalities that are recurrent, i.e., present in two or more cases with the same morphology and topography. -The Reference Searcher queries only the references themselves, i.e., the references from the individual cases and the molecular biology and clinical associations. Sponsors: This database is sponsored by the University of Lund, Sweden and have support from the Swedish Cancer Society and the Swedish Children''s Cancer Foundation | expression, gene, aberration, abnormality, biology, breakpoint, cancer, cancer databases, characteristic, chromosomal, chromosome, clinical, clone, cytogenetic, genomic, grade, hisotology, human, mice, molecular, morphology, nucleotide, patient, pattern, polymorphism, prognosis, reagent, rearrangement, sequence, single, structural, topography, transcript, tumor, FASEB list | nif-0000-21268 | SCR_012877 | Mitelman Database | 2026-02-14 02:06:48 | 114 | ||||||||||
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Mouse Genome Database Resource Report Resource Website 500+ mentions |
Mouse Genome Database (RRID:SCR_012953) | MGD | data or information resource, database | Community model organism database for laboratory mouse and authoritative source for phenotype and functional annotations of mouse genes. MGD includes complete catalog of mouse genes and genome features with integrated access to genetic, genomic and phenotypic information, all serving to further the use of the mouse as a model system for studying human biology and disease. MGD is a major component of the Mouse Genome Informatics.Contains standardized descriptions of mouse phenotypes, associations between mouse models and human genetic diseases, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information. Data are obtained and integrated via manual curation of the biomedical literature, direct contributions from individual investigators and downloads from major informatics resource centers. MGD collaborates with the bioinformatics community on the development and use of biomedical ontologies such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology. | gene, genome, genetic, chromosome, clone, cytogenetic, dna, genomic, inbred, mammalian, mouse, mutant, ortholog, phenotype, primer, protein, reagent, sequence, strain, bio.tools |
is used by: DisGeNET is listed by: Debian is listed by: bio.tools is related to: Mouse Genome Informatics (MGI) has parent organization: Jackson Laboratory |
NHGRI HG000330 | PMID:21051359 | biotools:mgi, biotools:mgd, nif-0000-10301 | http://www.informatics.jax.org/mgihome/projects/overview.shtml https://bio.tools/mgd https://bio.tools/mgi |
SCR_012953 | Mouse Genome Informatics: Mouse Genome Database, MGID, Mouse Genome Informatics Database | 2026-02-14 02:06:41 | 502 | |||||
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HOMD Resource Report Resource Website 100+ mentions |
HOMD (RRID:SCR_012770) | HOMD | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on April 14,2022. Database of comprehensive information on the approximately 600 prokaryote species that are present in the human oral cavity. The majority of these species are uncultivated and unnamed, recognized primarily by their 16S rRNA sequences. The HOMD presents a provisional naming scheme for the currently unnamed species so that strain, clone, and probe data from any laboratory can be directly linked to a stably named reference entity. The HOMD links sequence data with phenotypic, phylogenetic, clinical, and bibliographic information. Full and partial oral bacterial genome sequences determined as part of this project and the Human Microbiome Project, are being added to the HOMD as they become available. HOMD offers easy to use tools for viewing all publicly available oral bacterial genomes. Data is also downloadable. | taxon, genome, 16s rna, sequence, actinobacteria, bacteroidetes, chlamydiae, chloroflexi, euryarchaeota, firmicutes, fusobacteria, proteobacteria, spirochaetes, sr1, synergistetes, tenericutes, tm7, nomenclature, naming scheme, human, FASEB list | has parent organization: Forsyth Institute | NIDCR ; ARRA ; DOE contract U01 DE016937; DOE DE016937; DOE DE015847; DOE DE017106 |
PMID:20624719 PMID:20656903 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_22198 | SCR_012770 | Human Oral Microbiome Database | 2026-02-14 02:06:22 | 137 | |||||
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ArkDB - Genomes For The Rest of Us Resource Report Resource Website 10+ mentions |
ArkDB - Genomes For The Rest of Us (RRID:SCR_001838) | data or information resource, database | The ArkDB database system aims to provide a comprehensive public repository for genome mapping data from farmed and other animal Species. The system also aims to provide a route in to genomic and other sequence from the initial viewpoint of linkage mapping, RH mapping, physical mapping or - possibly more importantly - QTL mapping data. Sponsors: ArkDB is funded by Biotechnology and Biological Sciences Research Council (BBSRC), UK. Cat, Chicken, Cow, Deer, Duck, Horse, Pig, Quail, Salmon, Sea Bass, Sheep, Turkey, QLT map, Linkage map, RH map, Farm animal, Genome map, Sequence, Mapping | duck, farm animal, cat, chicken, cow, deer, genome map, horse, linkage map, mapping, model organism comparative genomic, pig, qlt map, quail, rh map, salmon, sea bass, sequence, sheep, turkey | has parent organization: Roslin Institute | PMID:11125062 | Free, Freely available | nif-0000-02568 | SCR_001838 | ArkDB | 2026-02-14 02:06:06 | 20 | |||||||
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Genome Network Platform Resource Report Resource Website 10+ mentions |
Genome Network Platform (RRID:SCR_001737) | GNP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Integrated database of experiment data generated by participating research institutes and public databases relating to: 1) transcription starting position of human genes in the human genome, 2) conjunction to control region on transcriptional factors and the human genome 3) protein-protein interaction with a central focus on transcription factors organized for use in genome level research. Gene Search is the function to search the integrated database by using keywords and public IDs. The search results can be visualized by: * Genome Explorer : provides annotation of landmarks (genes, transcription start sites, etc.) aligned in accordance with their genome locations. * PPI Network : provides a graphical view of protein-protein interaction (PPI) network from the experimental data generated under the project and the public datasets. * Expression Profile : clusters genes by expression pattern and display the result with heatmap. The function provides genes which have relation of coregulation and anti-coregulation. * Comparison Viewer : This function gives the view to compare the genomic regions between human and mouse homologous genes. The viewer shows the distribution of transcription start sites (TSS) as the way of separable by tissues or time points with other landmarks on genome region. * Gene Stock : This is the function to save the gene list that you are interested until the session is closed. | gene, genome, chip, human, interaction, micro array, protein, protein-protein interaction, qrt-pcr, rat, rna, sequence, short rna, tiling array, transcription, transcription control, transcription factor, transcription starting position, yeast two hybrid, data set, cage, data analysis service |
is listed by: 3DVC has parent organization: National Institute of Genetics; Shizuoka; Japan |
PMID:24927841 | Free, Freely Available | nif-0000-10237 | http://genomenetwork.nig.ac.jp/index_e.html | SCR_001737 | 2026-02-14 02:05:45 | 20 | ||||||
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AutoPSI database of predicted SCOP classifications Resource Report Resource Website |
AutoPSI database of predicted SCOP classifications (RRID:SCR_001923) | data or information resource, database | Searchable database for predicted protein sequences and structures. It has the ability to search through PDB ID, UniProt ID, and descriptive classifiers. | protein, structure, sequence, database, search, uniprot | has parent organization: Ludwig-Maximilians-University; Munich; Germany | Ludwig Maximilians Universitat Munchen | PMID:17932066 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02588 | SCR_001923 | Automated Protein Structure Identification (AutoPSI) database, AutoPSI, AutoPSI Database, Automated Protein Structure Identification database | 2026-02-14 02:06:06 | 0 | ||||||
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PepBank Peptide Database Resource Report Resource Website 10+ mentions |
PepBank Peptide Database (RRID:SCR_002086) | data or information resource, database | A database of peptides based on sequence text mining and public peptide data sources. Only peptides that are 20 amino acids or shorter are stored. Only peptides with available sequences are stored. After submitting a query you can further refine the results using the new heat map retrieval tool to quickly find the entries that are most relevant to you. Text classification helps you find candidate peptides that are related to cancer, cardiovascular diseases, diabetes, apoptosis, angiogenesis and molecular imaging or peptides for which binding data exist. | amino acid, blast search, peptide, sequence, smith-waterman search | PMID:17678535 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20887 | SCR_002086 | PepBank | 2026-02-14 02:05:46 | 29 | ||||||||
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Parasite Databases of Clustered ESTs Resource Report Resource Website 1+ mentions |
Parasite Databases of Clustered ESTs (RRID:SCR_002262) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. These databases were constructed by extracting the organism specific ESTs from dbEST, removing polyA sequences from the ends and trimming 5' and 3' regions with greater than 25% N's in a 20 base pair window. These quality sequences were then aligned using the cap2 program and the consensus sequences thus generated put into a database that is available on the web. A number of parasitic organisms were chosen that have between 3000 and 15000 ESTs. The attempt here is to provide useful information and analyses to the scientific community without curating the results in any way. A total of 55192 ESTs, deposited into dbEST/GenBank, were included in the analyses. The resulting sequences have been clustered into nonredundant gene assemblies and deposited into a relational database that supports a variety of sequence and text searches. This database has been used to compare the gene assemblies using BLAST similarity comparisons to the public protein databases to identify putative genes. Of these new entries, approximately 15%-20% represent putative homologs with a conservative cutoff of p < 10(-9), thus identifying many conserved genes that are likely to share common functions with other well-studied organisms. Gene assemblies were also used to identify strain polymorphisms, examine stage-specific expression, and identify gene families. An interesting class of genes that are confined to members of this phylum and not shared by plants, animals, or fungi, was identified. These genes likely mediate the novel biological features of members of the Apicomplexa and hence offer great potential for biological investigation and as possible therapeutic targets. | est, expression, fungus, gene, animal, apicomplexa, biological, organism, parasitic, phylum, plants, polya, protein, sequence, therapeutic | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20980 | SCR_002262 | PDCEST | 2026-02-14 02:06:08 | 2 | |||||||||
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Ligand-Gated Ion Channel Database Resource Report Resource Website 1+ mentions |
Ligand-Gated Ion Channel Database (RRID:SCR_002418) | LGICdb | data or information resource, database | Database providing access to information about transmembrane proteins that exist under different conformations, with three primary subfamilies: the cys-loop superfamily, the ATP gated channels superfamily, and the glutamate activated cationic channels superfamily. Due to the lack of evolutionary relationship, these three superfamilies are treated separately. It currently contains 554 entries of ligand-activated ion channel subunits. In this database one may find: the nucleic and proteic sequences of the subunits. Multiple sequence alignments can be generated, and some phylogenetic studies of the superfamilies are provided. Additionally, the atomic coordinates of subunits, or portion of subunits, are provided when available. Redundancy is kept to a minimum, i.e. one entry per gene. Each entry in the database has been manually constructed and checked by a researcher of the field in order to reduce the inaccuracies to a minimum. NOTE: This database is not actively maintained anymore. People should not consider it as an up-to-date trustable resource. For any new work, they should consider using alternative sources, such as UniProt, Ensembl, Protein Databank etc. | equilibrium, extracellular, gabaa, gated, gene, genetics, 3d model, alignment, anionic, atomic, atp, cationic, cellular, molecular, channel, compartment, computation, conformation, coordinate, cys-loop, glutamate, glycine, histamine, homologous, ion, ion channel, ligand, membrane, nicotinic, nucleic acid, phylogenetic, pore, portion, proteic, nucleic acid, protein, phylogeny, receptor, segment, sequence, sequence data, serotonin, subunit, superfamily, transmembrane |
is listed by: re3data.org has parent organization: European Bioinformatics Institute |
College of France; Paris; France ; Centre National de la Recherche Scientifique ; European Union ; Biotech and Biomed contracts ; French Ministry of Higher Education and Research ; Institut Pasteur |
PMID:16381861 PMID:11125117 |
nif-0000-00037, r3d100010796 | https://doi.org/10.17616/R3Q90D | SCR_002418 | LGIC Database | 2026-02-14 02:06:07 | 1 | |||||
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object-oriented Transcription Factors Database Resource Report Resource Website 1+ mentions |
object-oriented Transcription Factors Database (RRID:SCR_002435) | data or information resource, database | ooTFD (object-oriented Transcription Factors Database) is a successor to TFD, the original Transcription Factors Database. This database is aimed at capturing information regarding the polypeptide interactions which comprise and define the properties of transcription factors. ooTFD contains information about transcription factor binding sites, as well as composite relationships within transcription factors, which frequently occur as multisubunit proteins that form a complex interface to cellular processes outside the transcription machinery through protein-protein interactions. ooTFD contains information represented in TFD but also allows the representation of containment, composite, and interaction relationships between transcription factor polypeptides. It is designed to represent information about all transcription factors, both eukaryotic and prokaryotic, basal as well as regulatory factors, and multiprotein complexes as well as monomers. | eukaryotic, expression, factor, gene, basal, binding site, biochemical, biology, cellular, complex, genome, genomic, information, interaction, molecule, monomer, multisubunit, nucleotide sequences, transcriptional regulator sites, transcription factors, object, polypeptide, process, prokaryotic, property, protein, protein-protein interaction, regulatory, sequence, transcription | has parent organization: IFTI-Mirage | PMID:10592257 PMID:9847215 PMID:9399874 |
Free, Freely available | nif-0000-21303 | SCR_002435 | ooTFD | 2026-02-14 02:06:07 | 2 |
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