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http://urgi.versailles.inra.fr/Genefarm/

GeneFarm is a database of structural and functional annotation of plant gene and protein families. The goal of the GeneFarm project is to obtain homogeneous, reliable, documented and traceable annotations for plant nuclear genes and gene products and to enter them into added-value database. The improved annotation will allow better data mining of the plant genomes (mainly Arabidopsis thaliana), and more secure planning and design of experiments. It is also a necessary step for building knowledge management tools for integrating plant genomic data, either for plant breeding or to get a broader interactive view of plant biological processes, like gene interaction networks. This re-annotation project, launched is mainly focused on gene families. A complete annotation pipeline using the most efficient prediction tools has been defined. The involved partners, each contributing with genes from his/her field of expertise, have exhaustively annotated families of homologous genes. A database named GeneFarm (Gene Families for Arabidopsis Management) gathers all these expert-curated annotations of plant gene families. Furthermore, collaboration with the Swiss Institute of Bioinformatics is underway to integrate the GeneFarm data into the protein knowledgebase Swiss-Prot.

Proper citation: GeneFarm (RRID:SCR_007674) Copy   

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http://caps.ncbs.res.in/gendis/home.html

Genomic Distribution of structural Superfamilies identifies and classifies evolutionary related proteins at the superfamily level in whole genome databases. GenDiS has been curated in direct correspondence with SCOP and represents 4001 highly resolved domains in 1194 structural superfamilies across protein sequence databases. Sequences showing reliable homology to entries in SCOP and PASS2 databases have been obtained from the non-redundant protein sequence database and aligned. Similar alignments of the superfamily members are provided in the genome level. GenDiS provides a platform for cross genome comparison at the superfamily level. GenDis relates proteins sequence information across all strata of taxonomy. One may navigate through the database to obtain structural homologues across different levels in taxonomic classification. The nomenclature of the various genomes and their hierarchy is in direct correspondence with the taxonomy database maintained at the NCBI. Sequence homologues for the various structural members are obtained from the non-redundant protein sequence database employing sensitive sequence search methods. Multiple approaches such as PSI-BLAST, HMMsearch of the HMMer suite and an interacting motif constrained PHI-BLAST have been employed to identify homologues in the sequence databases.

Proper citation: Genomic Distribution of structural Superfamilies (RRID:SCR_007670) Copy   

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http://genecards.weizmann.ac.il/geneannot/

GeneAnnot provides a revised and improved annotation of Affymetrix probe-sets from HG-U95, HG-U133 and HG-U133 Plus2.0. Probe-sets are related to GeneCards genes, by direct sequence comparison of probes to GenBank, RefSeq and Ensembl mRNA sequences, while assigning sensitivity and specificity scores to each probe-set to gene match. Where such matches are not found, probe-sets are annotated by their relation to GenBank mRNA sequences and UniGene clusters. The results are integrated with the GeneCards, GeneLoc and GeneNote databases. HG-U95, HG-U133, HG-U133

Proper citation: GeneAnnot (RRID:SCR_007673) Copy   

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http://www.hepseq.org/Public/Web_Front/main.php

HepSEQ is the International Repository for Hepatitis B Virus Strain Data. It is web-accessible, quality-based, molecular, clinical and epidemiological database for hepatitis B infection and provides a tool for the research community or for those involved in hepatitis B case management. This database currently has 1012 patient records and 1253 viral sequences. The quality of all submitted sequences is checked. The tools provided include: SeqMatch: search the database for matching sequences Genotyper: genotype HBV strains (based on HBV surface antigen genes) Gene Mutation: display the sequences that contain mutations in HBV coding regions Mutation Annotator: annotate sequences for mutation known to be associated with anti-viral resistance This web database development is funded by the UK Department of Health is curated and is hosted by the Health Protection Agency.

Proper citation: Hepatitis Virus B Database (RRID:SCR_007705) Copy   

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https://omictools.com/heg-db-tool

Genomic database that includes prediction of which genes are highly expressed in prokaryotic complete genomes under strong translational selection.

Proper citation: Highly Expressed Genes Database (HEG-DB) (RRID:SCR_007704) Copy   

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http://www.compbio.dundee.ac.uk/kinomer

Kinomer is a multilevel HMM library that models these protein kinase groups. It allows accurate identification of protein kinases and classification to the appropriate kinase group. Profile hidden Markov models (HMMs) are statistical descriptions of sequence conservation from multiple sequence alignments, and have been shown to outperform standard pairwise sequence comparison methods, both in terms of sensitivity and specificity. HMMs form the basis of protein family and domain description libraries such as SUPERFAMILY and Pfam.

Proper citation: Kinomer (RRID:SCR_007707) Copy   

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http://www.genatlas.org/

GENATLAS contains relevant information with respect to gene mapping and genetic diseases. GENATLAS compiles the information relevant to the mapping efforts of the Human Genome Project. This information is collected from more than 48,000 articles in the literature, collected in more than 870 reviews. The articles are daily analyzed by annotators to update the GENATLAS database. Only the objects with a known cytogenetic location are retained. GENATLAS repertories three kinds of objects Genes database ( more than 21.000 entries) Phenotypes database ( 4104 entries , 2000 cloned) References database linked to the two previous ( more than 48000 entries)

Proper citation: GenAtlas (RRID:SCR_007669) Copy   

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http://www.ncrna.org/frnadb

fRNAdb is a database of comprehensive non-coding RNA (ncRNA) sequences including known (or previously reported) ncRNAs, which are acquired from other sequence databases, and ncRNA sequences reported by the joint research groups of the Functional RNA Project. It is funded by the New Energy and Industrial Technology Development Organization.

Proper citation: functional RNAdb (RRID:SCR_007664) Copy   

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http://flysnp.imp.univie.ac.at

This project aims to provide the information and technical resources to support high-throughput positional cloning in Drosophila melanogaster. These resources include a high-density genome-wide map of single nucleotide polymorphisms (SNPs), and inexpensive, high-throughput assays for SNP genotyping. The specific aims were as follows: 1. To establish a map of >2200 SNP marker loci in the Drosophila genome. These SNP markers have been identified in several commonly used genetic strains. The FlySNP project identified SNP markers within the sequenced, euchromatic regions of the X, 2nd and 3rd chromosomes. The average distance between SNPs is about 50 kb. 2. To establish robust, high-throughput assays for SNP genotyping. Assays have been established using PCR, microarray and mass-spectrometry methods. The tag-array mini-sequencing (TAMS) approach has proven to be an especially fast and reliable method for SNP genotyping.

Proper citation: FLYSNP (RRID:SCR_007663) Copy   

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http://imgt3d.igh.cnrs.fr/3Dstructure-DB/

A database of three-dimensional protein structures. It contains molecules, complexes, sequences, ligand/receptor pairings, and other useful tools. Currently, 1655 entries are managed , with 1602 IMGT/3Dstructure-DB cards (PDB) and 53 IMGT/2Dstructure-DB cards (INN).

Proper citation: IMGT/3Dstructure-DB (RRID:SCR_007734) Copy   

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http://bioinformatics.ramapo.edu/GRSDB2/

GRSDB2 is a second generation database of G-quadruplexes. Like its first version, GRSDB, it contains information on composition and distribution of putative Quadruplex-forming G-Rich Sequences (QGRS) mapped in the eukaryotic pre-mRNA sequences, including that are alternatively processed (alternatively spliced or alternatively polyadenylated). The data stored in the GRSDB2 is based on computational analysis of NCBI Entrez Gene entries and their corresponding annotated genomic nucleotide sequences of RefSeq/GenBank. Computations were performed with the help of an indigenously developed and previously published software program QGRS Mapper. What is new in GRSDB2: The entire database has been built with a new and much improved version of QGRS Mapper program. It contains data from a large number of eukaryotic genes from several organisms in addition to human and mouse. The data model is different than the first version in that it is centered around Entrez Gene rather than solely GenBank/RefSeq nucleotide entries. The search module has been greatly enhanced. It is possible to search the database with Entrez Gene ID, Gene Name, Gene Symbols, Aliases, relevant Accession numbers and many other parameters like numbers of poly A signals and alternatively spliced products. Complex queries can also be performed. In addition, it is now possible to search the database with Gene Ontology terms. The list of genes matching the query can be sorted. The website also allows to manipulate the list to form sets of genes and perform further computations on these sets through a ''Workbench''. The Gene View, Data View and Graphic View for individual database entries have been significantly enhanced with several additional computational capabilities and links. The data can now be exported into Excel for further analysis. In addition, we have added a Sequence View which displays mapped G-quadruplexes in the context of pre-mRNA sequence. GRSDB2 replaces GRSDB at, http://bioinformatics.ramapo.edu/grsdb/index.php

Proper citation: GRSDB: G-Rich Sequences DataBase (RRID:SCR_007697) Copy   

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http://wheat.pw.usda.gov

Grain Genes is a genome database for Triticeae and Avena. It contains tools that allow users to browse graingenes, search the MySQL database, and view maps, genetic markers, gene expression and sequences.

Proper citation: GrainGenes (RRID:SCR_007696) Copy   

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http://research.nhgri.nih.gov/scid/

IL2Rgbase is a database of mutations in the X-linked gene IL2RG, leading to the autoimmune disease XSCID. Data on mutations in any of the eight exons may be retrieved and examined, as well as intervening sequences.

Proper citation: X-linked SCID mutation database (RRID:SCR_007732) Copy   

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

An annotation program which aims to provide high-quality Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB) and International Protein Index (IPI). It is a central dataset for other major multi-species databases, such as Ensembl and NCBI. Because of the multi-species nature of the UniProtKB, UniProtKB-GOA assists in the curation of 200,000 species. This involves electronic annotation and the integration of high-quality manual GO annotation from all GO Consortium model organism groups and specialist groups. Gene Association Files can be accessed from the Downloads section of the website.

Proper citation: GOA (RRID:SCR_007691) Copy   

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http://www.tigr.org/tdb/humgen/bac_end_search/bac_end_intro.html

The Human BAC Ends Database is a database of sequences from the ends of bacterial artificial chromosome (BAC) clones. A whole genome sequencing approach has been described in a map-as-you-go strategy. The complete sequence of a seed BAC is searched against a BAC end database and the minimally overlapping clones in each direction are selected for sequencing. As coverage increases, BAC end sequences provide samples for whole genome survey. It currently contains 743,000 end sequences from 470,000 clones (20 X clone coverage and 12% sequence coverage), generated by TIGR, UofWashington and CalTech, providing a sequence marker every 5 kb across the genome. The coverage by paired-ends on chromosome 22 is over 5X. The project is funded by DOE.

Proper citation: Human BAC Ends Database (RRID:SCR_007727) Copy   

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http://itb.biologie.hu-berlin.de/~nebulus/sirna/index.htm

A database that serves as a repository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.

Proper citation: HuSiDa - Human siRNA database (RRID:SCR_007729) Copy   

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http://projects.tcag.ca/humandup/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. It contains information about segmental duplications in the human genome. The criteria used to identify regions of segmental duplication are: Sequence identity of at least 90, Sequence length of at least 5 kb, Not be entirely composed of repetitive elements. Background Previous studies have suggested that recent segmental duplications, which are often involved in chromosome rearrangements underlying genomic disease, account for some 5 of the human genome. We have developed rapid computational heuristics based on BLAST analysis to detect segmental duplications, as well as regions containing potential sequence misassignments in the human genome assemblies. Results Our analysis of the June 2002 public human genome assembly revealed that 107.4 of 3,043.1 megabases (Mb) (3.53) of sequence contained segmental duplications, each with size equal or more than 5 kb and 90 identity. We have also detected that 38.9 Mb (1.28) of sequence within this assembly is likely to be involved in sequence misassignment errors. Furthermore, we have identified a significant subset (199,965 of 2,327,473 or 8.6) of single-nucleotide polymorphisms (SNPs) in the public databases that are not true SNPs but are potential paralogous sequence variants. Conclusion Using two distinct computational approaches, we have identified most of the sequences in the human genome that have undergone recent segmental duplications. Near-identical segmental duplications present a major challenge to the completion of the human genome sequence. Potential sequence misassignments detected in this study would require additional efforts to resolve. The segmental duplication data and summary statistics are available for download. Data for Human Genome (based on the May 2004 Human Genome Assembly (hg17)) Visualize duplication relationships in GBrowse (GBrowse) Duplicon Pair relationships (GFF) Genes within duplication regions (HTML) Genome duplication content (MS Excel) The segmental duplication data can be visualized in a genome browser in the GBrowse section. Selected human genome annotation tracks (except the segmental duplication track) have also been obtained from UCSC and loaded into the genome browser. Detailed information (e.g. overlapping genes, overlapping clones, detailed alignment) can be obtained by clicking on a duplication cluster in GBrowse. Both keyword search and BLAT search are available. Analyses based on previous human genome assemblies can be found in the Previous Analyses section. Acknowledgments We thank The Centre for Applied Genomics at the Hospital for Sick Children (HSC) as well as collaborators worldwide. Supported by Genome Canada the Howard Hughes Medical Institute International Scholar Program (to S.W.S.) and the HSC Foundation.

Proper citation: Human Genome Segmental Duplication Database (RRID:SCR_007728) Copy   

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http://www.iephb.nw.ru/labs/lab38/spirov/hox_pro/hox-pro00.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 11th,2023. The database HOX Pro contains information about organization, functions and evolution of gene ensembles, key roles in which play homeobox-genes. It is aimed at: 1. analysis and classification of regulatory and coding regions in diverse homeobox and related genes; 2. describing mutations and knock-outs of hox-genes, as well as hereditary diseases related to these genes; 3. graphical representation, comparisons and classification of hox-genes expression patterns and profiles (sea urchin blastula, Drosophila blastoderm and imaginal discs, vertebrate limbs, mammalian brain, human EC cells); 4. comparative analysis of organization of hox-based genetic networks the nematode Caenorhabditis elegans the sea urchins Strongylocentrotus purpuratus and other echinids, the fruit flies Drosophila melanogaster and D.virilis, the vertebrates chicken and mouse; 5. analysis of phylogeny and evolution of homeobox genes and clusters.

Proper citation: Homeobox Genes DataBase (RRID:SCR_007723) Copy   

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http://germsage.nichd.nih.gov

Collection of male germ cell transcriptiome information derived from Serial Analysis of Gene Expression (SAGE). It includes the three key germ cell stages in spermatogenesis, including mouse type A spermatogonia (Spga), pachytene spermatocytes (Spcy), and round spermatids (Sptd). A total of 452,095 SAGE tags are represented in all the libraries and is by far the most comprehensive resource available. Users can choose a global view of germ cell transcriptome data in the UCSC Genome browser. They can also search genes or specify searching criteria based on tag sequence, chromosomal location or tag counts.

Proper citation: GermSAGE (RRID:SCR_007689) Copy   

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http://genometrafac.cchmc.org

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 29,2022. Whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs

Proper citation: GenomeTraFaC (RRID:SCR_007686) Copy   

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