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http://www.sbg.bio.ic.ac.uk/3dgenomics/searchpage1.cgi

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Database containing structural annotations for the proteomes of just under 100 organisms. Using data derived from public databases of translated genomic sequences, representatives from the major branches of Life are included: Prokaryota, Eukaryota and Archaea. The annotations stored in the database may be accessed in a number of ways. The help page provides information on how to access the database. 3D-GENOMICS is now part of a larger project, called e-Protein. The project brings together similar databases at three sites: Imperial College London , University College London and the European Bioinformatics Institute . e-Protein''s mission statement is To provide a fully automated distributed pipeline for large-scale structural and functional annotation of all major proteomes via the use of cutting-edge computer GRID technologies. The following databases are incorporated: NRprot, SCOP, ASTRAL, PFAM, Prosite, taxonomy, COG The following eukaryotic genomes are incorporated: Anopheles gambiae, protein sequences from the mosquito genome; Arabidopsis thaliana, protein sequences from the Arabidopsis genome; Caenorhabditis briggsae, protein sequences from the C.briggsae genome; Caenorhabditis elegans protein sequences from the worm genome; Ciona intestinalis protein sequences from the sea squirt genome; Danio rerio protein sequences from the zebrafish genome; Drosophila melanogaster protein sequences from the fruitfly genome; Encephalitozoon cuniculi protein sequences from the E.cuniculi genome; Fugu rubripes protein sequences from the pufferfish genome; Guillardia theta protein sequences from the G.theta genome; Homo sapiens protein sequences from the human genome; Mus musculus protein sequences from the mouse genome; Neurospora crassa protein sequences from the N.crassa genome; Oryza sativa protein sequences from the rice genome; Plasmodium falciparum protein sequences from the P.falciparum genome; Rattus norvegicus protein sequences from the rat genome; Saccharomyces cerevisiae protein sequences from the yeast genome; Schizosaccharomyces pombe protein sequences from the yeast genome

Proper citation: 3D-Genomics Database (RRID:SCR_007430) Copy   

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http://www.agbase.msstate.edu/

A curated, open-source, web-accessible resource for functional analysis of agricultural plant and animal gene products. Our long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase provides tools designed to assist with the analysis of proteomics data and tools to evaluate experimental datasets using the GO. Additional tools for sequence analysis are also provided. We use controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species. AgBase will also accept annotations from any interested party in the research communities. AgBase develops freely available tools for functional analysis, including tools for using GO. We appreciate any and all questions, comments, and suggestions. AgBase uses the NCBI Blast program for searches for similar sequences. And the Taxonomy Browser allows users to find the NCBI defined taxon ID for or taxon name for different organisms.

Proper citation: AgBase (RRID:SCR_007547) Copy   

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http://www.lgics.org/a7db/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The 7 database (or a7db) provides physiological, pharmacological and structural data pertaining to the 7 subunit of the nicotinic acetylcholine receptor. As well as the simple boolean-based query, there are several other ways to help you interrogate the database; * One page query builder * Query builder based on the category of data * Upload a prebuilt/previous query * Browse the database To gain insight into what sort of data can be queried, the one page or categorized query builders are recommended. Or you can just browse the database. The best way to navigate is to use the links on the left. Please be aware that we are presenting the raw data and that it is up to the user on how best to interpret that data. You can read more about the database in the recent article in BMC Neuroscience

Proper citation: Alpha-7 Database (RRID:SCR_007300) Copy   

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http://biobases.ibch.poznan.pl/5SData/

A database on nucleotide sequences of 5S rRNAs and their genes. The database contains 1985 primary structures of 5S rRNA and 5S rDNA, and was last updated in 2002, according to the website. They include 60 archaebacterial, 470 eubacterial, 63 plastid, nine mitochondrial and 1383 eukaryotic sequences. The nucleotide sequences of the 5S rRNAs or 5S rDNAs are divided according to the taxonomic position of the source organisms. The sequences for particular organisms can be retrieved as single files using a taxonomic browser or in multiple sequence structural alignments. The multiple sequence alignments of 5S ribosomal RNAs can be downloaded in TAB-delimited and FASTA formats.

Proper citation: 5S Ribosomal RNA Database (RRID:SCR_007545) Copy   

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http://www.oasis-brains.org/

Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated.

Proper citation: Open Access Series of Imaging Studies (RRID:SCR_007385) Copy   

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http://www.jncasr.ac.in/cremofac/

CREMOFAC is a database for chromatin remodeling factors has been developed. The database harbors 64 types of remodeling factors from 49 different organisms reported in literature and facilitates a comprehensive search for them. In addition, it also provides in-depth information for the factors reported in the three widely studied mammals namely, human, mouse and rat. Further, information on literature, pathways, and phylogenetic relationships has also been covered.

Proper citation: CREMOFAC: A web-database of Chromatin Remodeling Factors (RRID:SCR_007613) Copy   

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http://pgrc.ipk-gatersleben.de/cr-est

The Crop EST Database (CR-EST) is a public available online resource providing access to sequence, classification, clustering, and annotation data of crop EST projects at the IPK. Summarized numbers about genomic data of species are listed in tables. The main database content is original sequence data and cDNA library information from different organisms as well as results from BlastX searches against major protein sequence databases contained in NRPEP. Additionally sequence alignments of stackPACK clustering projects are available. This web application allows to BLAST against CR-EST ESTs and to query and retrieve data from Gene Ontology and metabolic pathway annotations as well as sequence similarities from stored results of BLASTX searches against the NRPEP database. CR-EST also features interactive JAVA-based tools, such as open reading frame visualization and explorative analysis of Gene Ontology mappings to ESTs.

Proper citation: CR-EST - Crop ESTs (RRID:SCR_007612) Copy   

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http://www.ncbi.nlm.nih.gov/Web/Newsltr/Spring04/cancer.html

Cancer Chromosomes is an integration of three databases, the NCI/NCBI SKY/M-FISH & CGH Database, the NCI Mitelman Database of Chromosome Aberrations in Cancer, and the NCI Recurrent Aberrations in Cancer, which all focus on various aspects of cancer and cancer genes. The goal of the SKY/M-FISH and CGH database is to provide a public platform for investigators to share and compare their molecular cytogenetic data. The database is open to everyone and all users can view an individual investigator''s public data or compare public cases from different investigators. The information in the Mitelman Database of Chromosome Aberrations in Cancer relates chromosomal aberrations to tumor characteristics, based either on individual cases or associations. All the data have been manually culled from the literature. Complete karyotypes, patient characteristics, and references are found in the Mitelman Database of Chromosome Aberrations in Cancer. Users can search all three databases for cytogenetic, clinical, and/or reference information.

Proper citation: Cancer Chromosomes (RRID:SCR_007575) Copy   

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http://www.mrc-lmb.cam.ac.uk/genomes/FlyTF/

The FlyTF database contains information on the manual curation of FlyBase identifiers based on FlyBase/Gene Ontology annotation or the DBD Transcription Factor Database. FlyBase identifiers are putative site-specific transcription factors. There are currently1052 of them in this database.

Proper citation: FlyTF (RRID:SCR_007611) Copy   

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http://corg.molgen.mpg.de

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Non-coding DNA segments that are conserved across multiple homologous genomic sequences are good indicators of putative regulatory elements. We use a systematic approach to delineate such conserved non-coding blocks from a collection of vertebrate species. Upstream regions of homologous gene pairs from man, rhesus monkey, mouse, rat, dog, cow, chicken, tetraodon, zebrafish and xenopus are considered for this purpose. Pairwise as well as Multiple alignments based on the pairwise ones are available. Sequence conservation in non-coding, upstream regions of orthologous genes from man and mouse is likely to reflect common regulatory DNA sites. Motivated by this assumption we have delineated a catalogue of conserved non-coding sequence blocks and provide the CORG-''COmparative Regulatory Genomics''-database. The data were computed based on statistically significant local suboptimal alignments of 15 kb regions upstream of the translation start sites of, currently, 10 793 pairs of orthologous genes. The resulting conserved non-coding blocks were annotated with EST matches for easier detection of non-coding mRNA and with hits to known transcription factor binding sites. CORG data are accessible from the ENSEMBL web site via a DAS service as well as a specially developed web service for query and interactive visualization of the conserved blocks and their annotation.

Proper citation: CORG - A database for COmparative Regulatory Genomics (RRID:SCR_007610) Copy   

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http://www.hubmed.org/

HubMed provides an interface to PubMed. Quick access to searches with a Firefox search plugin or a HubMed bookmarklet (drag to your browser''s bookmarks toolbar). Export citations in RIS, BibTeX, RDF and MODS formats, or directly to RefWorks. Unzip HubMed''s import filter into Endnote''s Filters folder for direct import into Endnote, or install the RIS Export plugin for direct import into ProCite, RefMan and older versions of Endnote. Use the Citation Finder to convert reference lists from PDFs into search results. Create lists of closely related papers using Rank Relations, then visualise and browse clusters of related papers using TouchGraph (requires Java). Graph occurrences of keywords in published papers over time. Tag and store annotated metadata for articles of interest.

Proper citation: HubMed (RRID:SCR_007296) Copy   

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http://genome.mc.pref.osaka.jp/BGED/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 08, 2011. This database contains gene expression data for various physiological and pathological processes in mouse brain. All the data have been obtained by adaptor-tagged competitive PCR, an advanced version of quantitative PCR. Brain Gene Expression Database (BGED) contains gene expression data for various physiological and pathological processes in mouse brain. All the data have been obtained by adaptor-tagged competitive PCR, an advanced version of quantitative PCR. Manual Download 1. Data retrieval Gene expression data can be retrieved either by ID numbers or by keywords representing functional annotations from this page. The ID numbers include GenBank, RefSeq, SwissProt, Gene Ontology, and BED (our own ID). The keyword search is based either on definition in GenBank, SwissProt and RefSeq, functional annotation of SwissProt database, or Gene Ontology terms. 2. Gene expression pattern display * Display of multiple gene expression patterns. Expression patterns of multiple genes selected by the keyword search can be displayed from the result page of the keyword search. * Gene expression pattern similarity search This function is available on the information page of each gene accessed through BED ID (in-house ID).

Proper citation: Brain Gene Expression Database (RRID:SCR_007299) Copy   

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http://genolist.pasteur.fr/Colibri/

Database dedicated to the analysis of the genome of Escherichia coli. Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.). The data contained in Colibri originates from two major sources of information, the reference genomic DNA sequence from the E. coli Genome Project and the feature annotations from the EcoGene data collection., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Colibri (RRID:SCR_007606) Copy   

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http://comparasite.hgc.jp/

Comparasite is an integrated database of our original full-length cDNA sequence data. It consists of seven sub-databases of apicomplexa protozoa, Plasmodium falciparum, Plasmodium yoelii, Plasmodium vivax, Toxoplasma gondii, Cryptosporidium parvum, Echinococcus multilocularis. Homologous gene groups are clustered and comparative analysis of any combination of these seven species is implemented, such as interspecies comparisons as to cellular localization, motifs or transmembrane regions and so on. For submitted keywords and other search conditions, Comparasite retrieves orthologous gene groups containing a given protein motif/GO term etc in common or in a species-specific manner. By enabling multi-faceted comparative analyses of genes of apicomplexa protozoa, monophyletic organisms that have evolved to diversify to parasitize various hosts by adopting complex life cycles, Comparasite should help elucidate the mechanism behind parasitism.

Proper citation: Comparasite: full length cDNA database (RRID:SCR_007608) Copy   

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http://kulibin.mit.edu/coc/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 26, 2016. CoC Central is a searchable database of residue conservation data covering the universe of known protein structures. CoC is useful for identifying functionally, kinetically, and thermodynamically important residues. Knowledge of universally conserved positions in protein folds may aid in identifying positions of kinetic or thermodynamic importance in protein folding, as well as those with a functional role.

Proper citation: CoC Central (RRID:SCR_007602) Copy   

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https://bioinformatics.cs.vt.edu/cmgs/CMGSDB/

CMGSDB is a database whose objective is to investigate gene silencing from a computational perspective using tools of computational biology and bioinformatics. The database is C. elegans centric, although the schema is suitable for any organism and can be extended with minor changes to support multiple organisms. CMGSDB contains details of genome annotation data (chromosomes, genes, coding transcripts), protein structure data (secondary structure, physical properties), microarray expression data (genomewide gene expressions for over 500 microarray experiments), RNA interferance data (RNAi experiment details, phenotypes exhibited by genes in different experiments, phenotype hierarchy and associations between them), protein-protein interaction data, and gene-regulation data.

Proper citation: CMGSDB- Computational Models for Gene Silencing (RRID:SCR_007601) Copy   

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http://cogeme.ex.ac.uk/

COGEME is an ongoing BBSRC-funded study to construct a relational database of genomic information from phytopathogenic fungi. This site also hosts microarray data for Blumeria graminis. Expressed sequence tags (ESTs) obtained from eighteen species of plant pathogenic fungi, two species of phytopathogenic oomycete and three species of saprophytic fungi are included here. Hierarchical clustering software was used to classify together ESTs representing the same gene and produce a single contig, or consensus sequence. The unisequence set for each pathogen therefore represents a set of unique gene sequences, each one consisting of either a single EST or a contig sequence made from a group of ESTs. Unisequences were annotated based on top hits against the NCBI non-redundant protein database using blastx.

Proper citation: COGEME Phytopathogenic Fungi and Oomycete EST Database (RRID:SCR_007604) Copy   

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http://ppa.bcf.ku.edu/DB_PABP/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. DB-PABP is an attempt to document the publicly available experimentally determined polyanion binding proteins (PABPs). The purpose of the database is to provide life scientists who are interested in PA/PABP interactions with a comprehensive data repository, as well as computer scientists with a publicly available dataset to perform knowledge discovery and datamining studies. The database is manually curated. It uses protein annotations from NCBI protein database and literature information is retrieved from PubMed. Whenever applicable, links to NCBI protein database and PubMed are provided so users may access additional information available in these public databases.

Proper citation: DB-PABP: a database of polyanion binding proteins (RRID:SCR_007603) Copy   

•   Source: SciCrunch Registry

http://www.proteomicsresource.org/default.aspx

Biodefense Proteomics Resource Center presents information on Class A-C biodefense organisms. :This list includes Bacillus anthracis, Brucella abortus, Francisella tularensis, salmonella typhi, salmonella typhimurium, Virbio cholerae, Yersinia pestis, Cryptosporidium parvum, Toxoplasma gondii, Avian influenza, SARS, Monkeypox, Vaccinia, and Variola. For each organism, the page provides a general overview of the organism and the diseases it causes, protein (and protein interaction) data, reagents, and data from experiments performed with this organism. Users may also find links to the NCBI Taxonomy center.

Proper citation: Biodefense Proteomics Resource Center (RRID:SCR_007564) Copy   

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http://www.ebi.ac.uk/clustr/

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 June 24, 2013 as per the Miriam database (http://www.ebi.ac.uk/miriam/main/collections/MIR:00000021). The CluSTr database offers an automatic classification of UniProt Knowledgebase and IPI proteins into groups of related proteins. The clustering is based on analysis of all pairwise comparisons between protein sequences. The database provides links to InterPro, which integrates information on protein families, domains and functional sites from PROSITE, PRINTS, Pfam, ProDom, SMART, TIGRFAMs, Gene3D, SUPERFAMILY, PIR Superfamily and PANTHER. To date (2011), CluSTr contains the following information: * 9,450,285 sequences from UniProt Knowledgebase release 15.6 * 308,281 sequences from IPI * 3,636,831,744 similarities, with pairwise alignments generated on-the-fly * 17,616,060 clusters * Clustering for 972 organisms with completely sequenced genomes. For the full list of the genomes see Integr8 * Putative homologues predictions for the above species. For more information see Homologue Selection at Integr8

Proper citation: CluSTr (RRID:SCR_007600) Copy   

•   Source: SciCrunch Registry