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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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://caps.ncbs.res.in/imotdb/

Comprehensive collection of spatially interacting motifs in proteins. Interacting motif database lists interacting motifs that are identified for all structural entries in PDB. Conserved patterns or finger prints are identified for individual structural entries and also grouped together for reporting common motifs shared among all superfamily members.

Proper citation: Database of Spatially Interacting Motifs in Proteins (RRID:SCR_007735) 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   

•   Source: SciCrunch Registry

https://nar.oxfordjournals.org/content/35/suppl_1/D322.full-text-lowres.pdf

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The GO Partition Database was designed to feature ontology partitions with GO terms of similar specificity. The GO partitions comprise varying numbers of nodes and present relevant information theoretic statistics, so researchers can choose to analyze datasets at arbitrary levels of specificity. The GO Partition Database, featuring GO partition sets for functional analysis of genes from human and ten other commonly-studied organisms with a total of 131,972 genes.

Proper citation: Gene Ontology Partition Database (RRID:SCR_007693) Copy   

•   Source: SciCrunch Registry

http://gpxmea.gti.ed.ac.uk/

A database for expression profiles of macrophages challenged with a a variety of pro-inflammatory, anti-inflammatory, benign and pathogen insults. The objectives of the database are: Provide access to quality assessed gene expression datasets Rapid access to gene expression profile macrophage treated with a variety of conditions Provide datasets for Systems biology

Proper citation: GPX-Macrophage (RRID:SCR_007694) 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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.jncasr.ac.in/humhot/menuframe.html

HumHot is a collection of human meiotic hot spots obtained from the literature along with interesting information on meiotic recombination and molecular features of meiotic hot spots. It is also updated as more hot spots get discovered in the human genome. The database can be queried by hot spot name or chromosome number.

Proper citation: HumHot (RRID:SCR_007722) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented April 24, 2017. The Genome Reviews database provides an up-to-date, standardized and comprehensively annotated view of the genomic sequence of organisms with completely deciphered genomes. Currently, Genome Reviews contains the genomes of archaea, bacteria, bacteriophages and selected eukaryota. Genome Reviews is available as a MySQL relational database, or a flat file format derived from that in the EMBL Nucleotide Sequence Database. An Ensembl-style browser is now available for Genome Reviews, providing a zoomable graphical view of all chromosomes and plasmids represented in the database. The location and structure of all genes is shown and the distribution of features throughout the sequence is displayed.

Proper citation: Genome Reviews (RRID:SCR_007685) Copy   

•   Source: SciCrunch Registry

http://www-alis.tokyo.jst.go.jp/HOWDY/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. A database system for retrieve human genome information in different data sources that are available to public. The information you could find here is automatically extracted from the genetic databases and shown with all data having the identifiers in common and linking to one another. HOWDY facilitates obtaining information of human genes by using official symbols and aliases approved by HGNC, GDB and Entrez Gene. It also provides a graphical view of the Human Genome maps for the finished contigs as well as radiation hybrid maps.

Proper citation: Human Organized Whole Genome Database (RRID:SCR_007721) Copy   

•   Source: SciCrunch Registry

http://prism.ccbb.ku.edu.tr/hotsprint/

It provides information about the evolutionary history of the residues on the interface and represents which residues are highly conserved on the interface. In this way, functionally and structurally important residues on the interface can be distinguished. Hotsprint contains overall properties of the interface such as number of computational hot spots on the interface, number of conserved residues on the interface, average conservation score of interface residues and buried ASA of the interface. Additionally, residues of the interface along with their position, name, conservation score, ASA in monomer, ASA in complex, type (contacting interface residue, neighboring interface residue or none) and whether the residue is computational hot spot or not information are presented.

Proper citation: Computational Hot Spots of Protein Interfaces (RRID:SCR_007720) Copy   

•   Source: SciCrunch Registry