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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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DBM-DB Resource Report Resource Website 10+ mentions |
DBM-DB (RRID:SCR_006258) | DBM-DB | data or information resource, database | Database storing and integrating genomic data of diamondback moth (DBM), Plutella xylostella (L.). It provides comprehensive search tools and downloadable datasets for scientists to study comparative genomics, biological interpretation and gene annotation of this insect pest. DBM-DB contains assembled transcriptome datasets from multiple DBM strains and developmental stages, and the annotated genome of P. xylostella (version 2). They have also integrated publically available ESTs from NCBI and a putative gene set from a second DBM genome (KONAGbase) to enable users to compare different gene models. DBM-DB was developed with the capacity to incorporate future data resources, and will serve as a long-term and open-access database that can be conveniently used for research on the biology, distribution and evolution of DBM. This resource aims to help reduce the impact DBM has on agriculture using genomic and molecular tools. | genome, rna-seq, gene expression profiling, micrornas, metagenomics, blast, gbrowse, FASEB list |
is listed by: OMICtools has parent organization: Fujian Agriculture and Forestry University; Fujian; China |
PMID:24434032 | Free, Public | OMICS_02235 | http://59.79.254.1/DBM/ | SCR_006258 | Diamondback moth Genome Database | 2026-09-12 01:01:42 | 32 | |||||
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ViralZone Resource Report Resource Website 100+ mentions |
ViralZone (RRID:SCR_006563) | ViralZone | data or information resource, database | ViralZone is a SIB Swiss Institute of Bioinformatics web-resource for all viral genus and families, providing general molecular and epidemiological information, along with virion and genome figures. Each virus or family page gives an easy access to UniProtKB/Swiss-Prot viral protein entries. ViralZone project is handled by the virus program of SwissProt group. Proteins popups were developed in collaboration with Prof. Christian von Mering and Andrea Franceschini, Bioinformatics Group , Institute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland, funded in part by the SIB Swiss Institute of bioinformatics. All pictures in ViralZone are copyright of the SIB Swiss Institute of Bioinformatics. | dna virus, rna virus, virus, dna, rna, genomic, proteomic, sequence, reference strain, image, virion, retro-transcribing virus, genome, bibliographic, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
Swiss Institute of Bioinformatics | PMID:20947564 | biotools:viralzone, r3d100013314, nlx_144372 | https://bio.tools/viralzone, https://doi.org/10.17616/R31NJMRM | http://www.expasy.org/viralzone/ | SCR_006563 | Viral Zone | 2026-09-12 01:01:43 | 148 | ||||
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DECIPHER Resource Report Resource Website 1000+ mentions |
DECIPHER (RRID:SCR_006552) | DECIPHER | data or information resource, database | Interactive database which incorporates a suite of tools designed to aid the interpretation of submicroscopic chromosomal imbalance. Used to enhance clinical diagnosis by retrieving information from bioinformatics resources relevant to the imbalance found in the patient. Contributing to the DECIPHER database is a Consortium, comprising an international community of academic departments of clinical genetics. Each center maintains control of its own patient data (which are password protected within the center''''s own DECIPHER project) until patient consent is given to allow anonymous genomic and phenotypic data to become freely viewable within Ensembl and other genome browsers. Once data are shared, consortium members are able to gain access to the patient report and contact each other to discuss patients of mutual interest, thus facilitating the delineation of new microdeletion and microduplication syndromes. | chromosomal imbalance, phenotype, chromosome, gene, genome, deletion, duplication, copy number, genotype, polymorphism, FASEB list |
is used by: MARRVEL is listed by: OMICtools is related to: Deciphering Developmental Disorders is related to: Ensembl has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Microdeletion Syndrome, Overgrowth syndrome, Microduplication syndrome, Deletion syndrome, Duplication syndrome, Wolf-Hirschhorn Syndrome, Williams-Beuren Syndrome, Smith-Magenis Syndrome, Etc | Wellcome Trust WT077008 | PMID:19344873 | Acknowledgement required | nlx_151653, OMICS_00265 | SCR_006552 | Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources, DECIPHER: Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources, Database of Chromosomal Imbalance Phenotype in Humans using Ensembl Resources, Decipher | 2026-09-12 01:01:43 | 1991 | ||||
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BacMap: Bacterial Genome Atlas Resource Report Resource Website 1+ mentions |
BacMap: Bacterial Genome Atlas (RRID:SCR_006988) | BacMap | atlas, data or information resource, database | An interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes. It uses a visualization tool (CGView) to generate high-resolution circular genome maps from sequence feature information. Each map includes an interface that allows the image to be expanded and rotated. In the default view, identified genes are drawn to scale and colored according to coding directions. When a region of interest is expanded, gene labels are displayed. Each label is hyperlinked to a custom ''gene card'' which provides several fields of information concerning the corresponding DNA and protein sequences. Each genome map is searchable via a local BLAST search and a gene name/synonym search. A complete listing of the species and strains in the BacMap database is available on the BacMap homepage. Below each species/strain name is a list of the sequenced chromosomes and plasmids that are available. Some features of BacMap include: * Maps are available for 2023 bacterial chromosomes. * Each map supports zooming and rotation. * Map gene labels are hyperlinked to detailed textual annotations. * Maps can be explored manually, or with the help of BacMap''s built in text search and BLAST search. * A written synopsis of each bacterial species is provided. * Several charts illustrating the proteomic and genomic characteristics of each chromosome are available. * Flat file versions of the BacMap gene annotations, gene sequences and protein sequences can be downloaded. BacMap can be used to: * Obtain basic genome statistics. * Visualize the genomic context of genes. * Search for orthologues and paralogues in a genome of interest. * Search for conserved operon structure. * Look for gene content differences between bacterial species. * Obtain pre-calculated annotations for bacterial genes of interest. | gene, gene annotation, gene sequence, genome, bacteria, chromosome, protein sequence | has parent organization: University of Alberta; Alberta; Canada | Alberta Science Research Authority ; Western Economic Diversification ; Genome Canada ; Genome Prairie ; Western Economic Diversification Canada |
PMID:15608206 | Free, Acknowledgement requested | nif-0000-02591, r3d100012724 | https://doi.org/10.17616/R35502 | SCR_006988 | BacMap: An Interactive Atlas for Exploring Bacterial Genomes, BacMap genome atlas | 2026-09-12 01:01:45 | 5 | ||||
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Yeast Intron Database Resource Report Resource Website 1+ mentions |
Yeast Intron Database (RRID:SCR_007144) | Yeast Intron Database | data or information resource, database | Database of information about the spliceosomal introns of the yeast Saccharomyces cerevisiae. Listed are known spliceosomal introns in the yeast genome and the splice sites actually used are documented. Through the use of microarrays designed to monitor splicing, they are beginning to identify and analyze splice site context in terms of the nature and activities of the trans-acting factors that mediate splice site recognition. In version 3.0, expression data that relates to the efficiency of splicing relative to other processes in strains of yeast lacking nonessential splicing factors is included. These data are displayed on each intron page for browsing and can be downloaded for other types of analysis. | intron, spliceosomal, splicing, genome, intron splice signal, sequence, splice site |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
W. M. Keck Foundation ; Packard Foundation ; NIH |
PMID:11988574 | The community can contribute to this resource | nif-0000-03649, OMICS_01890 | http://www.cse.ucsc.edu/research/compbio/yeast_introns.html | SCR_007144 | Ares lab Yeast Intron Database | 2026-09-12 01:01:46 | 2 | ||||
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ProbeExplorer Resource Report Resource Website |
ProbeExplorer (RRID:SCR_007116) | ProbeExplorer | analysis service resource, data analysis service, production service resource, service resource | Probe Explorer is an open access web-based bioinformatics application designed to show the association between microarray oligonucleotide probes and transcripts in the genomic context, but flexible enough to serve as a simplified genome and transcriptome browser. Coordinates and sequences of the genomic entities (loci, exons, transcripts), including vector graphics outputs, are provided for fifteen metazoa organisms and two yeasts. Alignment tools are used to built the associations between Affymetrix microarrays probe sequences and the transcriptomes (for human, mouse, rat and yeasts). Search by keywords is available and user searches and alignments on the genomes can also be done using any DNA or protein sequence query. Platform: Online tool | bioinformatics, microarray, oligonucleotide probe, transcript, genomic, genome, transcriptome, alignment, affymetrix, probe sequence, dna, protein, sequence, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Salamanca; Salamanca; Spain |
Open unspecified license - Free for academic use | nlx_149275 | SCR_007116 | Probe Explorer | 2026-09-12 01:01:45 | 0 | |||||||
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Epilepsy Genetic Association Database Resource Report Resource Website 1+ mentions |
Epilepsy Genetic Association Database (RRID:SCR_006840) | data or information resource, database | The Epilepsy Genetic Association Database (epiGAD) is an online repository of data relating to genetic association studies in the field of epilepsy. It summarizes the results of both published and unpublished studies, and is intended as a tool for researchers in the field to keep abreast of recent studies, providing a bird''s eye view of this research area. The goal of epiGAD is to collate all association studies in epilepsy in order to help researchers in this area identify all the available gene-disease associations. Finally, by including unpublished studies, it hopes to reduce the problem of publication bias and provide more accurate data for future meta-analyses. It is also hoped that epiGAD will foster collaboration between the different epilepsy genetics groups around the world, and faciliate formation of a network of investigators in epilepsy genetics. There are 4 databases within epiGAD: - the susceptibility genes database - the epilepsy pharmacogenetics database - the meta-analysis database - the genome-wide association studies (GWAS) database The susceptibility genes database compiles all studies related to putative epilepsy susceptibility genes (eg. interleukin-1-beta in TLE), while the pharmacogenetics studies in epilepsy (eg. ABCB1 studies) are stored in ''phamacogenetics''. The meta-analysis database compiles all existing published epilepsy genetic meta-analyses, whether for susceptibility genes, or pharmacogenetics. The GWAS database is currently empty, but will be filled once GWAS are published. Sponsors: The epiGAD website is supported by the ILAE Genetics Commission. | epilepsy, gene, genome, genetic, bias, disease, interleukin-1-beta, meta-analysis, pharmacogenetic, pharmacogenetics, published, repository, research, researcher, studies, study, temporal lobe epilepsy (tle), tool, unpublished | nif-0000-10221 | SCR_006840 | epiGAD | 2026-09-12 01:01:44 | 6 | ||||||||||
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HaploReg Resource Report Resource Website 1000+ mentions |
HaploReg (RRID:SCR_006796) | HaploReg | data or information resource, database | HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation. | chromatin state, conservation, regulatory motif, alteration, variant, chromatin, motif, annotation, genome, variation, genome-wide association study, refsnp, refseq gene, snp, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Broad Institute |
NHGRI R01-HG004037; NHGRI RC1-HG005334; NSF 0644282 |
PMID:22064851 | biotools:HaploReg, nlx_151407 | http://compbio.mit.edu/HaploReg, https://bio.tools/HaploReg | SCR_006796 | 2026-09-12 01:01:44 | 1048 | ||||||
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Database of Genomic Variants Resource Report Resource Website 100+ mentions |
Database of Genomic Variants (RRID:SCR_007000) | DGV | data or information resource, database | Collection of curated structural variation in the human genome. Catalogue of human genomic structural variation identified in healthy control samples for studies aiming to correlate genomic variation with phenotypic data. It is continuously updated with new data from peer reviewed research studies. The Database is no longer accepting direct submission of data as they are currently part of a collaboration with two new archival CNV databases at EBI and NCBI, called DGVa and dbVAR, respectively. One of the changes to DGV as part of this collaborative effort is that they will no longer be accepting direct submissions, but rather obtain the datasets from DGVa (short for DGV archive). This will ensure that the three databases are synchronized, and will allow for an official accessioning of variants. | genome, chromosome, control, deletion, structure, insertion, inversion, segmental duplication, structural variation, genomic variation, phenotype, copy number variation, indel, genetics, gene expression, chromosome abnormality, human genome, variation, dna, statistics, chromosome, FASEB list |
is used by: MARRVEL is listed by: OMICtools is related to: Database of Genomic Variants Archive (DGVa) is related to: dbVar |
Healthy, Control | Canadian Institutes of Health Research ; Genome Canada ; McLaughlin Centre ; Ontario Genomics Institute |
PMID:24174537 | Acknowledgement requested | nif-0000-02721, OMICS_00266, r3d100010346 | http://projects.tcag.ca/variation/, https://doi.org/10.17616/R3NC8H | SCR_007000 | DGV, Database of Genomic Variants | 2026-09-12 01:01:45 | 419 | |||
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Tetraodon nigroviridis Database Resource Report Resource Website |
Tetraodon nigroviridis Database (RRID:SCR_007123) | data or information resource, database | This database have been funded by the National Human Genome Research Institute (NHGRI) to produce shotgun sequence of the Tetraodon nigriviridis genome. The strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated. Whole genome shotgun libraries were prepared from Tetraodon genomic DNA obtained from the laboratory of Jean Weissenbach at Genoscope. Additional sequence data of approximately 2.5X coverage of Tetraodon has also been generated by Genoscope in plasmid and BAC end reads. Broad and Genoscope intend to pool their data and generate whole genome assemblies. Tetraodon nigroviridis is a freshwater pufferfish of the order Tetraodontiformes and lives in the rivers and estuaries of Indonesia, Malaysia and India. This species is 20-30 million years distant from Fugu rubripes, a marine pufferfish from the same family. The gene repertoire of T. nigroviridis is very similar to that of other vertebrates. However, its relatively small genome of 385 Mb is eight times more compact than that of human, mostly because intergenic and intronic sequences are reduced in size compared to other vertebrate genomes. These genome characteristics along with the large evolutionary distance between bony fish and mammals make Tetraodon a compact vertebrate reference genome - a powerful tool for comparative genetics and for quick and reliable identification of human genes. | estruary, evolutionary, fish, freshwater, fugu rubripes, gene, genetic, bac, bony, distance, dna, genome, genomic, human, intergenic, intronic, nigriviridis, plasmid, pufferfish, river, sequence, sequencing, shotgun, specie, tetraodon, tetraodontiformes, vertebrate | nif-0000-20998 | SCR_007123 | TND | 2026-09-12 01:01:45 | 0 | ||||||||||
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SpBase - Strongylocentrotus purpuratus: the Sea Urchin Genome Database Resource Report Resource Website 1+ mentions |
SpBase - Strongylocentrotus purpuratus: the Sea Urchin Genome Database (RRID:SCR_007441) | SpBase | data or information resource, database, image | SpBase is designed to present the results of the genome sequencing project for the purple sea urchin. The sequences and annotations emerging from this effort are organized in a database that provides the research community access to those data not normally presented through National Center for Biotechnology Information and other large databases. Additionally, the unique information on that links gene identities and sequences to the plate and well location to the library filters from the Sea Urchin genome Resource will also be presented. The software used to organize and present the sea urchin genome comes from GMOD, a collection of open source software tools for creating and managing genome-scale biological databases. That sea urchins eggs and embryos have long remained a popular research subject for cell and developmental biologists is one rationale for sequencing the genome. In addition, studies of embryonic development in the California Purple Sea Urchin, Strongylocentrotus purpuratus , have paralleled the emergence of molecular techniques ranging from the characterization of genomic repeat sequences in the 1970''s to the elucidation of gene regulatory networks in recent times. The parent of this site, SUGP, was meant to provide a focal point for the exchange of genomic information as the genome of the Purple sea urchin was being sequenced. Over these past years it has served as a repository for small sequencing projects and a source of sequence information useful for gene discovery projects. Here one could find information on macro-array libraries of cDNAs from the purple sea urchin and genomic DNA from several species. In addition, a Sequence Tag Connector (STC) collection has been assembled from 5% of the genome sequence and a very extensive repeat sequence catalog prepared. All of the sequence data that we maintained at SUGP was incorporated into the new SPBase. Of course, it is all in public sequence databases such as the National Center for Biological Information as well. Some additional sequence information is available at the Resource Center of the German Human Genome Project. With the publication of The Genome of the Sea Urchin Strongylocentrotus purpuratus by The Sea Urchin Genome Sequencing Consortium a link to the first 9941 gene annotations are now publicly available. The effort to sequence the whole purple sea urchin genome was a cooperative one that included contributions from the Sea Urchin Genome Facility here at the Center for Computational Regulatory Genomics, Beckman Institute, Caltech, and support from the Human Genome Research Institute of the National Institutes of Health. The sequencing was done at the Baylor College of Medicine, Human Genome Sequencing Center, Houston, Texas. Funding was approved based on an initiative submitted by the Sea Urchin Genome Advisory Committee. | embryonic, genome, annotation, bac, cdna, clones, development, dna, genomic, genomic library, images, macro-array libraries, sequence tag connector, sequencing, stc, strongylocentrotus purpuratus | nif-0000-01282 | http://sugp.caltech.edu | SCR_007441 | SpBase - Strongylocentrotus purpuratus, Sea Urchin Genome Database | 2026-09-12 01:01:47 | 4 | ||||||||
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High Quality SNP Database Resource Report Resource Website 1+ mentions |
High Quality SNP Database (RRID:SCR_007230) | HQSNP DB | data or information resource, database | This is the HQSNP DB (high-quality SNP database) developed by CHG bioinformatics group. The high-quality SNP is defined as a SNP having allele frequency or genotyping data. The majority of the HQSNPs come from HapMap, others come from JSNP (Japanese SNP database), TSC (The SNP Consortium), Affymetrix 120K SNP, and Perlegen SNP. There are four kinds of SNP search you can do: * Get SNPs by dbSNP rs#: Choose this search if you have already selected a list of SNPs and you just want to get the SNP information. The program will generate a Excel file containing the SNP flanking sequence, variation, quality, function, etc. In the Excel file, there are 10 highlighted fields. You can send only those highlighted information to Illumina to get SNP pre-score. (The same fields are presented in other types of searches as well.) * Get gene SNPs by gene names: Choose this search if you have a list of gene names and you want to get the SNP information in these genes. The gene name can be official gene symbol, Ensembl gene ID, RefSeq accession ID, LocusLink number, etc. * Get gene SNPs by genome regions: Choose this search if you have a list of genome regions and you want to get all gene SNP information in these regions. The software will find all the Ensembl genes in the regions and find SNPs associated to each Ensembl gene. * Get genome scan SNPs by genome regions: Choose this search if you have a list of genome regions and you want to get evenly spaced SNPs in these regions. A SNP selection tool (SNPselector) was built upon HQSNP. It took snp ID list, gene name list, or genome region list as input and searched SNPs for genome scan or gene assoctiation study. It could take an optional ABI SNP file (exported from ABI SNP search web page) as input for checking whether the candidate SNP is available from ABI. It could also take an optional Illumina SNP pre-score file as input to select SNP for Illumina SNP assay. It generated results sorted by tag SNP in LD block, SNP quality, SNP function, SNP regulatory potential, and SNP mutation risk. SNPselector is now retired from public use (as of September 30, 2010). | snp, genotyping, data, allele, bioinformatics, genome, study, gene | has parent organization: Duke University; North Carolina; USA | nif-0000-30254 | SCR_007230 | SNPselector and High Quality SNP Database, CHG DAS Data | 2026-09-12 01:01:46 | 3 | ||||||||
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Horizontal Gene Transfer-DataBase Resource Report Resource Website 1+ mentions |
Horizontal Gene Transfer-DataBase (RRID:SCR_007706) | data or information resource, database | The Horizontal Gene Transfer DataBase (HGT-DB) is a genomic database that includes statistical parameters such as G+C content, codon and amino-acid usage, as well as information about which genes deviate in these parameters for prokaryotic complete genomes. Under the hypothesis that genes from distantly related species have different nucleotide compositions, these deviated genes may have been acquired by horizontal gene transfer. | genome, amino acid, codon | nif-0000-02957 | SCR_007706 | HGT-DB | 2026-09-12 01:01:50 | 4 | ||||||||||
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GELBANK Resource Report Resource Website 1+ mentions |
GELBANK (RRID:SCR_007668) | data or information resource, database | GELBANK is a government project that provides an interactive interface for the comparison of 2DE patterns in the context of proteome sequence queries. Only proteomes of species with completed genomes (bacterial genomes, some eukaryotic genomes, human proteome) are presented in the database. The image database also contains not only scanned images, but also modeled gel patterns representing a collection of images (e.g. a master pattern for a sample). 2DE gel patterns are grouped by: tissue type, sample type, staining method used, separation technique used in the first dimension (by charge), the pH-range of the media used in first dimension, technique used in the second dimension (by size). Tools pertinent to the querying of two-dimensional gel-electrophoresis are implemented and integrated into database. When searching for sequences, tools that allow allow the discovery of sequences and alignment of multiple sequences are presented. Individual 2DE gel-patterns can be displayed or a collection of patterns can be animated. | gel electrophoresis, genome, 2de pattern, 2d gel electrophoresis, proteome sequence, two-dimensional gel-electrophoresis | has parent organization: University of Chicago; Illinois; USA | nif-0000-02871 | SCR_007668 | GELBANK | 2026-09-12 01:01:50 | 3 | |||||||||
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GTOP - Genomes To Protein structures Resource Report Resource Website 1+ mentions |
GTOP - Genomes To Protein structures (RRID:SCR_007698) | data or information resource, database | GTOP is a database consists of data analyses of proteins identified by various genome projects. This database mainly uses sequence homology analyses and features extensive utilization of information on three-dimensional structures. GTOP is built by the Laboratory of Gene-Product Informatics at the National Institute of Genetics. This research is supported by the Japan Science and Technology Corporation and Grants-in-Aid for Scientific Research (Genomes in category C) from the Ministry of Education, Science, Sports and Culture of Japan. We use the following methods: Prediction of 3D structure Sequence homology search of PDB, using REVERSE PSI-BLAST. Functional predictions (family classifications) Sequence homology search of Swiss-Prot, a well-annotated sequence database, with the use of BLAST. Other analytical methods We are also carrying out the following analyses: Motif Analysis(PROSITE) Family classification(Pfam) Prediction of transmembrane helix domains(SOSUI) Prediction of coiled-coil regions(Multicoil) Repetitive sequence analysis(RepAlign) | genome, protein, sequence homology | has parent organization: National Institute of Genetics; Shizuoka; Japan | nif-0000-02931 | SCR_007698 | GTOP | 2026-09-12 01:01:50 | 6 | |||||||||
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ECgene: Gene Modeling with Alternative Splicing Resource Report Resource Website 10+ mentions |
ECgene: Gene Modeling with Alternative Splicing (RRID:SCR_007634) | ECgene | data or information resource, database | Database of functional annotation for alternatively spliced genes. It uses a gene-modeling algorithm that combines the genome-based expressed sequence tag (EST) clustering and graph-theoretic transcript assembly procedures. It contains genome, mRNA, and EST sequence data, as well as a genome browser application. Organisms included in the database are human, dog, chicken, fruit fly, mouse, rhesus, rat, worm, and zebrafish. Annotation is provided for the whole transcriptome, not just the alternatively spliced genes. Several viewers and applications are provided that are useful for the analysis of the transcript structure and gene expression. The summary viewer shows the gene summary and the essence of other annotation programs. The genome browser and the transcript viewer are available for comparing the gene structure of splice variants. Changes in the functional domains by alternative splicing can be seen at a glance in the transcript viewer. Two unique ways of analyzing gene expression is also provided. The SAGE tags deduced from the assembled transcripts are used to delineate quantitative expression patterns from SAGE libraries available publicly. The cDNA libraries of EST sequences in each cluster are used to infer qualitative expression patterns. | est cluster, genome, alternative splicing, splice, gene, mrna, est, annotation, gene modeling, structure, function, gene expression, transcript, genome browser, differential expression, snp |
is listed by: OMICtools is related to: Gene Ontology has parent organization: Ewha Womans University; Seoul; South Korea |
PMID:17132829 PMID:15805497 PMID:15608289 |
nif-0000-02780, OMICS_01884 | http://genome.ewha.ac.kr/ECgene/ | SCR_007634 | ECgene - Genome Annotation for Alternative Splicing | 2026-09-12 01:01:49 | 12 | ||||||
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Mammalian Degradome Database Resource Report Resource Website 10+ mentions |
Mammalian Degradome Database (RRID:SCR_007624) | Degradome Database | data or information resource, database | A database of human, chimpanzee, mouse, and rat proteases and protease inhibitors, as well as as the growing number of hereditary diseases caused by mutations in protease genes. Analysis of the human and mouse genomes has allowed us to annotate 581 human, 580 chimpanzee, 667 mouse, and 655 rat protease genes. Proteases are classified in five different classes according to their mechanism of catalysis. Proteases are a diverse and important group of enzymes representing >2% of the human, chimpanzee, mouse and rat genomes. This group of enzymes is implicated in numerous physiological processes. The importance of proteases is illustrated by the existence of 99 different hereditary diseases due to mutations in protease genes. Furthermore, proteases have been implicated in multiple human pathologies, including vascular diseases, rheumatoid arthritis, neurodegenerative processes, and cancer. During the last ten years, our laboratory has identified and characterized more than 60 human protease genes. Due to the importance of proteolytic enzymes in human physiology and pathology, we have recently introduced the concept of Degradome, as the complete repertoire of proteases expressed by a tissue or organism. Thanks to the recent completion of the human, chimpanzee, mouse, and rat genome sequencing projects, we were able to analyze and compare for the first time the complete protease repertoire in those mammalian organisms, as well as the complement of protease inhibitor genes. This webpage also contains the Supplementary Material of Human and mouse proteases: a comparative genomic approach Nat Rev Genet (2003) 4: 544-558, Genome sequence of the brown Norway rat yields insights into mammalian evolution Nature (2004) 428: 493-521, A genomic analysis of rat proteases and protease inhibitors Genome Res. (2004) 14: 609-622, and Comparative genomic analysis of human and chimpanzee proteases Genomics (2005) 86: 638-647. | degradome, mammalian, protease inhibitor, protease, gene, protease gene, genetic disease, proteolysis, protease structure, ancillary domain, genomic, genome |
is related to: Ancillary Domains Associated With Human and Mouse Proteases has parent organization: University of Oviedo; Oviedo; Spain |
Disease of proteolysis | European Union ; CancerDegradome-FP6 and FP7 ; Spanish Ministry of Science and Innovation ; Fundacion M Botin ; Fundacion Lilly ; Obra Social Cajastur |
PMID:18776217 | nif-0000-02746 | SCR_007624 | Mammalian Degradome Database | 2026-09-12 01:01:49 | 10 | |||||
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IMG Resource Report Resource Website 500+ mentions |
IMG (RRID:SCR_007733) | IMG | data or information resource, database | 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. | genome, microorganism, annotation, bio.tools, FASEB list |
is listed by: 3DVC is listed by: bio.tools is listed by: Debian has parent organization: DOE Joint Genome Institute |
nif-0000-03009, biotools:img | https://bio.tools/img | SCR_007733 | Integrated Microbial Genomes | 2026-09-12 01:01:51 | 715 | |||||||
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LEGER: the post-genome Database for Listeria Research Resource Report Resource Website 1+ mentions |
LEGER: the post-genome Database for Listeria Research (RRID:SCR_007760) | data or information resource, database | Knowledge database and visualization tool for comparative genomics of pathogenic and non-pathogenic Listeria species.Provides information on gene functions (as annotated or supposed by literature from homologous organisms) , protein expression levels under defined experimental conditions ,subcellular localization of proteins (expected and/or experimentally validated) , biological meaning of genes and proteins based on KEGG, InterPro and Gene Ontology. | Proteome, functional, genome, data, protein, expression, subcellular, localization | German Bundesministerium für Bildung und Forschung (BMBF) | PMID:16381897 | Free, Freely available | nif-0000-03077 | SCR_007760 | Proteome Database LEGER | 2026-09-12 01:01:52 | 2 | |||||||
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PhylomeDB Resource Report Resource Website 50+ mentions |
PhylomeDB (RRID:SCR_007850) | data or information resource, database | Database for phylomes, that is, complete collections of phylogenetic trees for all proteins encoded in a given genome. It aims at providing a repository of high-quality phylogenies and alignments for proteins encoded in model species. To derive a phylome, each protein encoded in a given genome is used as a seed to retrieve its homologs in other complete genomes. These sequences are aligned and processed to derive reliable phylogenies using several phylogenetic methods. Besides providing the evolutionary history of the gene families, phylomeDB includes phylogeny based predictions of orthology and paralogy relationships., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | Genome-wide collections, gene phylogenies, phylogenetic trees collection, proteins encoded, genome, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools |
PMID:17962297 PMID:21075798 PMID:24275491 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03281, biotools:PhylomeDb | https://bio.tools/PhylomeDB | SCR_007850 | PhylomeDB | 2026-09-12 01:01:54 | 52 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
