We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Interferome is a database that provides identification of interferon regulated gene signatures from high-throughput data sets (i.e. microarray, proteomic data etc.). It will also assist in identifying regulatory elements and enable comparison of tissue expression of IRGs in human and mouse. Availability of sequence information from more than 37 species, together with comprehensive annotation will enable comparative genomics and phylogenetic analysis to be performed on these IRGs. Within the database, Type I, II and III IFN regulated genes have been manually curated from more than 28 publicly available microarray datasets. Interferon Regulated Genes (IRGs) were identified from multiple microarray and proteomic experiments where cells were treated with IFNs. Genes that were up or down regulated more than 1.5 fold relative to control samples were defined as IRGs.
InterDom is a database of putative interacting protein domains derived from multiple sources, ranging from domain fusions (Rosetta Stone), protein interactions (DIP and BIND), protein complexes (PDB), to scientific literature (MEDLINE). Interdom focuses on providing supporting evidence for validating and annotating detected protein interactions and complexes based on putative protein domain interactions. InterDom enhances the quality of in silico derivations by adopting an integrative strategy, assigning higher confidence to domain interactions that are independently derived from different data sources and methods.
This database identifies and characterizes all inter-chain beta-sheet interactions within entries in the Protein Data Bank (PDB) and within the corresponding hypothetical quaternary structures that are automatically generated at the European Bioinformatics Institute (EBI), and that are currently available through the Protein Quaternary Structure (PQS) server, within the Macromolecular Structure Database. The data are stored in a relational database. The database can be accessed through the Web and queried through a simple form. Entries can be ranked according to the relative structural importance of their inter-chain -sheet interactions, or according to other criteria. The ICBS database is intended as a tool to: :* further the study of -sheet protein-protein interactions :* identify new ICBS interactions as new structures are deposited and as old structures are revised in the Protein Data Bank :* help select targets for drug design.
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.
Database of microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm). InSatDb allows users to obtain microsatellites annotated with size (in bp and repeat units); genomic location (exon, intron, up-stream or transposon); nature (perfect or imperfect); and sequence composition (repeat motif and GC%). One can access microsatellite cluster (compound repeats) information, and a list of microsatellites with conserved flanking sequences (microsatellite family or paralogs). InSatDb is complete with insect information, web links to find details, methodology and a tutorial. A separate Analysis section illustrates the comparative genomic analysis that can be carried out using the InSatDb output.
Registry for Familial Mediterranean Fever (FMF) and hereditary inflammatory disorders mutations. As of 2014, it includes twenty genes including: MEFV, MVK, TNFRSF1A, NLRP3, NOD2, PSTPIP1, LPIN2 and NLRP7, and contains over 1338 sequence variants. Confidential data, simple and complex alleles are accepted. For each gene, a menu offers: 1) a tabular list of the variants that can be sorted by several parameters; 2) a gene graph providing a schematic representation of the variants along the gene; 3) statistical analysis of the data according to the phenotype, alteration type, and location of the mutation in the gene; 4) the cDNA and gDNA sequences of each gene, showing the nucleotide changes along the sequence, with a color-based code highlighting the gene domains, the first ATG, and the termination codon; and 5) a download menu making all tables and figures available for the users, which, except for the gene graphs, are all automatically generated and updated upon submission of the variants. The entire database was curated to comply with the HUGO Gene Nomenclature Committee (HGNC) and HGVS nomenclature guidelines, and wherever necessary, an informative note was provided.
The Imprinted Gene Catalogue is a database of imprinted genes and related effects in humans and animals. Users can search the Imprinted genes and related effects database by taxon, chromosome, gene name, or a text word from the description. Users can also search the Catalogue of Parental Origin of de novo Mutations by type of mutation, disorder, chromosomal location, inheritance pattern, gene name, or author of publication. There are also many detailed entries which provide a cross-species summary of imprinted genes.
A database for cancer driver gene/mutation that incorporates a huge amount of exome-seq data, annotation databases (such as dbSNP, 1000 Genome and Cosmic), and published bioinformatics algorithms dedicated to driver gene/mutation identification.
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.
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).
Datasets and tools for comparative analysis and annotation of all publicly available genomes from three domains of life in a uniquely integrated context. Plasmids that are not part of a specific microbial genome sequencing project and phage genomes are also included in order to increase its genomic context for comparative analysis. The user interface (see User Interface Map) allows navigating the microbial genome data space along its three key dimensions (genes, genomes, and functions), and groups together the main comparative analysis tools. Microbial genome data analysis in IMG usually starts with the definition of an analysis context in terms of selected genomes, functional annotations, and/or genes, followed by the individual or comparative analysis of genomes, functional annotations, or genes.
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.
The IARC TP53 Mutation Database compiles all TP53 gene variations identified in human populations and tumor samples. Data are compiled from the peer-reviewed literature and from generalist databases. The following datasets are available: # TP53 somatic mutations in sporadic cancers # TP53 germline mutation in familial cancers # Common TP53 polymorphisms identified in human populations # Functional and structural properties of P53 mutant proteins # TP53 gene status in human cell-lines # Mouse-models with engineered TP53 The database includes various annotations on the predicted or experimentally assessed functional impact of mutations, clinicopathologic characteristics of tumors and demographic and life-style information on patients. The database is meant to be a source of information on TP53 mutations for a broad range of scientists and clinicians who work in different research areas: # Basic research, to study the structural and functional aspects of the p53 protein # Molecular pathology of cancer, to understand the clinical significance of mutations identified in cancer patients # Molecular epidemiology of cancer, to analyze the links between specific exposures and mutation patterns and to make inferences about possible causes of cancer # Molecular genetics, to analyze genotype/phenotype relationships
Hypertext on cell culture availability extracted from the Cell Line Data Base of the Interlab Project. HyperCLDB includes links to records of OMIM, the Online Mendelian Inheritance in Man Catalogue, and now also links to the PubMed, database of bibliographic biomedical references, which are drawn primarily from MEDLINE and PREMEDLINE.
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.
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.
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.
The Human Gene Expression Index (HuGE Index) aims to provide a comprehensive database to further our understanding of the expression of human genes in normal human tissues. mRNA expression levels of thousands of genes are obtained using high-density oligonucleotide array technology and used to create a public database. The website also provides interactive tools for researchers to query and visualize data over the Internet. To facilitate data analysis, genes are alsocross-referenced with their annotation in the LocusLink database at NCBI.
HPMR is a database of human plasma membrane ligands and receptors. Users can search for ligands or receptors to reveal their pairing partners and browse through ligand or receptor families to identify ligand-receptor relationships. Users can also submit their own microarray data to perform online genome-wide online searches for paracrine/autocrine signaling systems. Survey of transcriptomes based on liganded receptome allows the discovery of paracrine/autocrine signaling for known ligand-receptor pairs in previously uncharacterized tissues or developmental stages.
Database that provides human protein interaction information and integrated interaction and also finds proteins from databases that can potentially react with proteins submitted by users. The human protein interaction information was pre-computed by a statistical method from existing structural and experimental data, while the integrated human protein interactions are derived from BIND, DIP and HPRD. A score composed of three parts is assigned to the predicted interaction data, and those interactions with high scores were found reliable. HPID allows the user to use the protein IDs in EMBL, Ensembl, MIM, RefSeq, HPRD and NCBI to search protein interactions of interest. A set of web-based software tools has also been developed so that users can visualize and analyze protein interaction networks.