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http://ecoli.naist.jp/GB8/

A database of high-throughput data being collected to understand comprehensively the living E. coli K-12 model cell. GenoBase is a public repository for sequence information, proteome, transcription, and metabolome data. The GenoBase contains columns labeled Gene, Synonym, ECK, Genome, ID, Left, Right, Direction, Description, Comment, and Status. The table displays two rows for each gene: one row shows data for the E. coli K-12 MG1655 genome; the other shows data for the E. coli K-12 W3110 genome. Left, Right, and direction give the coordinates and orientation of the gene. Search/Clip allows the user to find information in GenoBase based on gene, position, or DNA sequence. References is currently not fully operational. Other search allows execution of an SQL query., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GenoBase (RRID:SCR_007682) Copy   

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http://ghr.nlm.nih.gov/

Genetics Home Reference provides consumer-friendly information about the effects of genetic variations on human health. Genetics Home Reference contains condition summaries (describing major features of genetic conditions), gene summaries (describing normal function, chromosomal location, etc), and gene family summaries.

Proper citation: Genetics Home Reference (RRID:SCR_007681) Copy   

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http://gib.genes.nig.ac.jp

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 28, 2013. GIB is a comprehensive data repository of complete microbial genomes in the public domain. GIB will diffuse the genome sequence data and annotation in a day whenever the data is submitted to the International Nucleotide Sequence Databases (DDBJ, EMBL database and GenBank). You can explore any microbial genome by clone name, ORF name/number, function, gene name, product name, location, sequence (namely, homology search), and other features/qualifiers defined by INSD. The result of query is displayed either in graphics or in a table format.

Proper citation: Genome information broker (RRID:SCR_007684) Copy   

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http://bioportal.weizmann.ac.il/HORDE/

HORDE (The Human Olfactory Data Explorer) is a database of human Olfactory Receptors (ORs), the largest multigene family in multicellular organisms. You will find here information on the OR proteins, their gene structure and their genomic organization. Also available are OR repertoires of other mammalian species, along with a set of analysis tools. human olfactory receptor, :OR, OR proteins, olfactory receptor, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: HORDE - Human Olfactory Receptor Data Exploratorium (RRID:SCR_007719) Copy   

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http://mendel.gene.cwru.edu/adamslab/cgi-bin/paml/pbrowser.py

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It provides access to the results of tests for positive selection in 14,000 human genes. Multiple alignments of protein-coding regions of genes from human and other mammals were extracted from whole-genome alignments available from UC-Santa Cruz. Each gene was analyzed using the maximum likelihood tests of selection using PAML. Branch, site, and branch+site tests were performed, each with at least one matching null model.

Proper citation: Human PAML Browser (RRID:SCR_007715) Copy   

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http://pbil.univ-lyon1.fr/databases/hoppsigen.html

Hoppsigen is a nucleic database of homologous processed pseudogenes. It contains 5,823 human retroelements and 3,934 mouse retroelements. These retroelements were annotated and stored in the database HOPPSIGEN (Homologous processed pseudogenes). Sequences were grouped in families considering their homologies. The database contains 3,168 families of exclusively human (1,966) or mouse retroelements (1,202) and 323 families containing human and mouse retroelements. 5,206 human retroelements were annotated as processed pseudogenes (respectively 3,428 mouse retroelements). The database contains functional genes from ENSEMBL homologous to Hoppsigen retroelements.

Proper citation: Hoppsigen (RRID:SCR_007718) Copy   

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https://database.riken.jp/sw/en/Expression-based_Imprint_Candidate_Organiser_DB__EICO_DB_/crib151s2rib151s45i/

EICO DB is an integrated database for discovery of novel imprinted genes. EICO DB provides candidate imprinted genes by cDNA microarray and single Nucleotide Polymorphisms between MSM and C57BL/6J within RIKEN mouse full-lenght cDNA for validation of imprinting. The tools provided by the website are candidate Imprinted Transcripts by Expression (CITE), MoUse SNP CATalog (MuSCAT), EICO DAS Server, and EICO Wiki.

Proper citation: EICO DB - Expression-based Imprint Candidate Organiser (RRID:SCR_007637) Copy   

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http://ehco.iis.sinica.edu.tw

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. ECHO is a web resource of Hepatocellular Carcinoma genes. The fundamental part of EHCO2 is the collections of thirteen gene sets related to HCC. It also contains tools to search by homology, pathway, or phenotype.

Proper citation: Encyclopedia of Hepatocellular Carcinoma Genes Online (RRID:SCR_007636) Copy   

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http://www.wzw.tum.de/proteomik/lactis/

It presents an advanced online database for dynamic access to proteomes and two-dimensional (2D) gels. The database was designed to administer complete in silico proteomes and links them with experimental proteomic data in the manner of 2D electrophoresis gels (IPG-Dalt). The 2D gels serve as reference maps in 2D gel analysis as well as tools for navigation of the database to switch between experimental and predicted data. Therefore, all identified spots in the gels are clickable and linked with summarized protein information. The protein information tables contain calculated characteristics, which are often used in proteomics, such as the molecular weight, isoelectric point, codon adaptation index, grand average of hydropathicity, etc. The design of the database permits online extension of gel data and protein attributes without knowledge of any software language. Besides navigation via 2D gels, the clear graphical user interface permits quick and intuitive searching throughout complete proteomes and supports, e.g. the search for proteins with isoelectric points within pH ranges of interest or protein classes (e.g. ribosomal proteins or transporters). The first organism implemented in the database is Lactococcus lactis.

Proper citation: Proteome Database of Lactococcus lactis (RRID:SCR_007633) Copy   

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http://owww.molgen.mpg.de/~ag_ribo/ag_brimacombe/drc/

A database of published cross-link data of the E. coli ribosome. The website provides information on rRNA-rRNA cross-links, rRNA-rProteins cross-links, cross-links between ribosomal proteins, tRNA-ribosome cross-links, growing peptide-ribosome cross-links, factors-ribosome cross-links, and mRNA-ribosome cross-links. All data are presented in tables.

Proper citation: DRC - Database of Ribosomal Crosslinks (RRID:SCR_007628) Copy   

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http://hgwdev-hiram.cse.ucsc.edu/IntronWS120/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A collection of tools for exploring the molecular biology and genomics of C. elegans with a special emphasis on alternative splicing. It includes: Tracks Display- View splicing diagrams for any gene in the Sanger C. elegans database alongside cDNA and EST alignments. Retrieve DNA sequences with the exons in upper case. Search the literature. Alt Splicing Catalog - As defined by Chuck's altGraphX process. A frames based viewer linking to the genome browser. Alt-Splicing Catalog - A catalog of genes for which the cDNA and EST evidence indicates alternative splicing.

Proper citation: The Intronerator (RRID:SCR_007745) Copy   

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http://www.ebi.ac.uk/integr8/

The Integr8 web portal provides easy access to integrated information about deciphered genomes and their corresponding proteomes. Available data includes DNA sequences (from databases including the EMBL Nucleotide Sequence Database, Genome Reviews, and Ensembl); protein sequences (from databases including the UniProt Knowledgebase and IPI); statistical genome and proteome analysis (performed using InterPro, CluSTr, and GOA); and information about orthology, paralogy, and synteny.

Proper citation: Integr8 : Access to complete genomes and proteomes (RRID:SCR_007740) Copy   

•   Source: SciCrunch Registry

http://urgv.evry.inra.fr/projects/FLAGdb++/HTML/index.shtml

A database for the functional analysis of the Arabidopsis genome. The ultimate objective of this project is to develop a database and associated bioinformatics tools based on the integration of genomic data around a selection of plant complete genomes. This tool will help users to understand the biological role of plant genes by considering them in a wide context: a multigene family, a topological environment, and/or a functional network. The database and the associated user-friendly interface is developed with a conceptual effort for the graphical display and the hierarchical organization of the data. The running integration involves the structural and functional international annotations, EST from different plant species, novel gene predictions, mutant tags, gene families, protein motifs, transcriptome data, repeat sequences, primers and tags for genomic approaches (DNA chips, synteny studies, BAC library screening, RT-PCR, SNP discovery, ...), subcellular targeting, secondary structures, 3D models, MPSS tags, curated annotations and mutant phenotypes.

Proper citation: FLAGdb++ (RRID:SCR_007659) Copy   

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http://compbio.cs.queensu.ca/F-SNP/

F-SNP database provides integrated information about the functional effects of SNPs obtained from 16 bioinformatics tools and databases. The functional effects are predicted and indicated at the splicing, transcriptional, translational, and post-translational level. As such, the F-SNP database helps identify and focus on SNPs with potential pathological effect to human health. Users can find SNP's based on ID, associated disease, gene, or chromosomal region.

Proper citation: F-SNP: a collection of functional SNPs, specifically prioritized for disease association studies (RRID:SCR_007653) Copy   

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http://www.cmbi.kun.nl/EXProt/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. EXProt (database for EXPerimentally verified Protein functions) is a new non-redundant database containing protein sequences for which the function has been experimentally verified. EXProt is a selection of 6491 entries which are described to have an experimentally verified function. The entries in EXProt all have a unique ID number and provide information about organism, protein sequence, functional annotation, link to entry in original database, and if known, gene name and link to references in PubMed. The EXProt database can be searched with BLAST or FASTA with amino acid or nucleotide sequence as query sequence. Note that only the sequence goes into the field. EXProt database is also searchable in SRS6 at CMBI. In a near future entries from the genome project of Lactobacillus plantarum by Wageningen Centre for Food Sciences (WCFS) will be added to EXProt.

Proper citation: EXProt- database for EXPerimentally verified Protein functions (RRID:SCR_007652) Copy   

•   Source: SciCrunch Registry

http://firedb.bioinfo.cnio.es/

A database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords. FireDB contains information on every chemical compound in the PDB, including their descriptions, the PDB structures in which the compounds are found and the amino acids that are in contact with the ligand.

Proper citation: FireDB (RRID:SCR_007655) Copy   

•   Source: SciCrunch Registry

http://cgl.imim.es/fcp/

FCP is a publicly accessible web tool dedicated to analyzing the current state and trends of available proteome structures along the classification schemes of enzymes and nuclear receptors. It offers both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures and on the bias observed in the distribution of those structures among proteins. Users can choose to search the website based on structures or ligands, and can also sort by enzyme or receptor. Users can also view data based on structural and population (species) filters.

Proper citation: Functional Coverage of the Proteome (RRID:SCR_007654) Copy   

•   Source: SciCrunch Registry

http://jbirc.jbic.or.jp/hinv/evola/

Evola is a sub-database of H-InvDB, providing ortholog data as evolutionary annotation. Representative transcripts (one transcript per one gene locus) were analyzed as genes. Orthologs were first detected by computational analysis. Then, more reliable orthologs were determined by manual curation inspecting the phylogenetic trees., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Evola (RRID:SCR_007651) Copy   

•   Source: SciCrunch Registry

http://www.everest.cs.huji.ac.il

EVEREST is an automatic process of identifying and classifying of protein domains. Users can search for specific proteins using Protein ID or name, browse through protein families, and upload/download protein sequence data. EVEREST combines methodologies from the fields of finite metric spaces, machine learning and statistical modeling and achieves state of the art results. The process begins by constructing a database of protein segments that emerge in an all vs. all pairwise sequence comparison. It then proceeds to cluster these segments into putative domain families, choosing the best putative families using machine learning techniques, and creating a statistical model for each of the chosen families. This procedure is then iterated: The aforementioned statistical models are used to scan all protein sequences, to recreate a segment database and to cluster them again. Performance was evaluated by comparing with Pfam and SCOP.

Proper citation: EVEREST - EVolutionary Ensembles of REcurrent SegmenTs (RRID:SCR_007650) Copy   

•   Source: SciCrunch Registry

http://euhcvdb.ibcp.fr

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 23, 2016. The euHCVdb is oriented towards protein sequence, structure, function analysis and structural biology of the Hepatitis C Virus. It is monthly updated from the EMBL Nucleotide sequence database and maintained in a relational database management system (PostgreSQL). Programs for parsing the EMBL database flat files, annotating HCV entries, filling up and querying the database used SQL and Java programming languages. Great efforts have been made to develop a fully automatic annotation procedure thanks to a reference set of HCV complete annotated well-characterized genomes of various genotypes. This automatic procedure ensures standardization of nomenclature for all entries and provides genomic regions/proteins present in the entry, bibliographic reference, genotype, interesting sites (e.g. HVR1) or domains (e.g. NS3 helicase), source of the sequence (e.g. isolate) and structural data that are available as protein 3D models. The euHCVdb is funded as part of the HepCVax cluster (EC grant QLK2-CT-2002-01329) and viRgil network of excellence (EC grant LSHM-CT-2004-503359).

Proper citation: euHCVdb: The European HCV database (RRID:SCR_007645) Copy   

•   Source: SciCrunch Registry