Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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 | 2026-09-19 12:57:02 | 3 | ||||||||
|
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 | 2026-09-19 12:57:08 | 4 | ||||||||||
|
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 | 2026-09-19 12:57:06 | 3 | |||||||||
|
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 | 2026-09-19 12:57:07 | 6 | |||||||||
|
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 | 2026-09-19 12:57:06 | 12 | ||||||
|
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 | 2026-09-19 12:57:06 | 10 | |||||
|
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 | 2026-09-19 12:57:08 | 715 | |||||||
|
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 | 2026-09-19 12:57:09 | 2 | |||||||
|
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 | 2026-09-19 12:57:11 | 52 | ||||||
|
Silkworm Genome Database Resource Report Resource Website 1+ mentions |
Silkworm Genome Database (RRID:SCR_008242) | data or information resource, database | Silkbase''s objective is to build a foundation for the complete genome analysis of Bombyx mori. | anopheles gambiae, bombyx mori, drosophila, genome, moth, samia cynthia invertebrate databases | has parent organization: University of Tokyo; Tokyo; Japan | nif-0000-21370 | SCR_008242 | Silkworm Genome Database | 2026-09-19 12:57:16 | 3 | |||||||||
|
Cytokine Family Database Resource Report Resource Website 1+ mentions |
Cytokine Family Database (RRID:SCR_008134) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. A collection of cDNA, gene and protein records of cytokines deposited in public databases provides various information about the cytokine members of vertebrates in other databases including NCBI GenBank, Swiss-Prot, UniGene, TIGR (The Institute for Genomic Research) Gene Indices, Ensembl, Entrez Gene, Mouse Genome Informatics (MGI) and Rat Genome Database (RGD). It also provides orthologous relationship of cytokine members and includes novel members identified in the databases. | family, fish, gene, amphibian, bird, cdna, chemokine, cow, cytokine, genome, human, mammalian, mouse, oncogene, phylogenetic, protein, rat, receptor, reptile, virus |
is listed by: 3DVC has parent organization: Kumamoto University; Kumamoto; Japan |
Japan Society for the Promotion of Science | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20948 | http://cytokine.medic.kumamoto-u.ac.jp/ | SCR_008134 | dbCFC | 2026-09-19 12:57:15 | 1 | ||||||
|
Animal Genome Database Resource Report Resource Website 1+ mentions |
Animal Genome Database (RRID:SCR_008165) | data or information resource, database | Database of comparative gene mapping between species to assist the mapping of the genes related to phenotypic traits in livestock. The linkage maps, cytogenetic maps, polymerase chain reaction primers of pig, cattle, mouse and human, and their references have been included in the database, and the correspondence among species have been stipulated in the database. AGP is an animal genome database developed on a Unix workstation and maintained by a relational database management system. It is a joint project of National Institute of Agrobiological Sciences (NIAS) and Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries (STAFF-Institute), under cooperation with other related research institutes. AGP also contains the Pig Expression Data Explorer (PEDE), a database of porcine EST collections derived from full-length cDNA libraries and full-length sequences of the cDNA clones picked from the EST collection. The EST sequences have been clustered and assembled, and their similarity to sequences in RefSeq, and UniGene determined. The PEDE database system was constructed to store sequences and similarity data of swine full-length cDNA libraries and to make them available to users. It provides interfaces for keyword and ID searches of BLAST results and enables users to obtain sequence data and names of clones of interest. Putative SNPs in EST assemblies have been classified according to breed specificity and their effect on coding amino acids, and the assemblies are equipped with an SNP search interface. The database contains porcine nucleotide sequences and cDNA clones that are ready for analyses such as expression in mammalian cells, because of their high likelihood of containing full-length CDS. PEDE will be useful for researchers who want to explore genes that may be responsible for traits such as disease susceptibility. The database also offers information regarding major and minor porcine-specific antigens, which might be investigated in regard to the use of pigs as models in various medical research applications. | est, expression, gene, amino acid, animal, antigen, breed, cattle, cdna, cell, chain, clone, coding, cytogenetic, genome, human, linkage, livestock, mammalian, map, mouse, nucleotide, organism, phenotypic, pig, polymerase, porcine, primer, reaction, sequence, snp, specie, swine, trait | has parent organization: National Institute of Agrobiological Sciences; Ibaraki; Japan | nif-0000-21029 | SCR_008165 | AGP | 2026-09-19 12:57:15 | 1 | |||||||||
|
Phylogenetic Clusters of Orthologous Groups Ranking Resource Report Resource Website 1+ mentions |
Phylogenetic Clusters of Orthologous Groups Ranking (RRID:SCR_008223) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 20,2019.The COG-database has become a powerful tool in the field of comparative genomics. The construction of this data-base is based on sequence homologies of proteins from different completely sequenced genomes. Highly homologous proteins are assigned to clusters of orthologous groups. The updated collection of orthologous protein sets for prokaryotes and eukaryotes is expected to be a useful platform for functional annotation of newly sequenced genomes, including those of complex eukaryotes, and genome-wide evolutionary studies. The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appears to be a natural framework for comparative genomics and should facilitate both functional annotation of genomes and large-scale evolutionary studies. Here is a major update of the previously developed system for delineation of Clusters of Orthologous Groups of proteins (COGs) from the sequenced genomes of prokaryotes and unicellular eukaryotes and the construction of clusters of predicted orthologs for 7 eukaryotic genomes, which we named KOGs after eukaryotic orthologous groups. The COG collection currently consists of 138,458 proteins, which form 4873 COGs and comprise 75% of the 185,505 (predicted) proteins encoded in 66 genomes of unicellular organisms. The eukaryotic orthologous groups (KOGs) include proteins from 7 eukaryotic genomes: three animals (the nematode Caenorhabditis elegans, the fruit fly Drosophila melanogaster and Homo sapiens), one plant, Arabidopsis thaliana, two fungi (Saccharomyces cerevisiae and Schizosaccharomyces pombe), and the intracellular microsporidian parasite Encephalitozoon cuniculi. The current KOG set consists of 4852 clusters of orthologs, which include 59,838 proteins, or approximately 54% of the analyzed eukaryotic 110,655 gene products. Compared to the coverage of the prokaryotic genomes with COGs, a considerably smaller fraction of eukaryotic genes could be included into the KOGs; addition of new eukaryotic genomes is expected to result in substantial increase in the coverage of eukaryotic genomes with KOGs. Examination of the phyletic patterns of KOGs reveals a conserved core represented in all analyzed species and consisting of approximately 20% of the KOG set. This conserved portion of the KOG set is much greater than the ubiquitous portion of the COG set (approximately 1% of the COGs). In part, this difference is probably due to the small number of included eukaryotic genomes, but it could also reflect the relative compactness of eukaryotes as a clade and the greater evolutionary stability of eukaryotic genomes. | elegans, encephalitozoon, eukaryote, evolutionary, fly, fruit, fungus, gene, general genomics databases, animal, arabidopsis, caenorhabditis, cerevisiae, classification, comparative, cuniculi, drosophila, genome, genomic, homo, homology, intracellular, melanogaster, microsporidian, nematode, organism, ortholog, orthologous, parasite, pattern, phyletic, phylogenetic, plant, pombe, prokaryote, protein, saccharomyces, sapiens, schizosaccharomyces, sequence, thaliana, tool, unicellular | has parent organization: National Institutes of Health | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21313 | SCR_008223 | PCOGR | 2026-09-19 12:57:16 | 3 | ||||||||
|
Comparative Vertebrate Sequencing Resource Report Resource Website |
Comparative Vertebrate Sequencing (RRID:SCR_008213) | data or information resource, database | Generates data for use in developing and refining computational tools for comparing genomic sequence from multiple species. The NISC Comparative Sequencing Program's goal is to establish a data resource consisting of sequences for the same set of targeted genomic regions derived from multiple animal species. The broader program includes plans for a diverse set of analytical studies using the generated sequence and the publication of a series of papers describing the results of those analysis in peer-reviewed journals in a timely fashion. Experimentally, this project involves the shotgun sequencing of mapped BAC clones. For each BAC, an assembly is first performed when a sufficient number of sequence reads have been generated to provide full shotgun coverage of the clone. At that time, the assembled sequence is submitted to the HTGS division of GenBank. Subsequent refinements of the sequence, including the generation of higher-accuracy finished sequence, results in the updating of the sequence record in GenBank. By immediately submitting our BAC-derived sequences to GenBank, it makes their data available as a public service to allow colleagues to speed up their research, consistent with the now well-established routine of sequencing centers participating in the Human Genome Project. However, at the same time, it has made considerable investment in acquiring these mapping and sequence data, including sizable efforts of graduate students, postdoctoral fellows, and other trainees. Furthermore, in most cases, large data sets involving multiple BAC sequences from multiple species must first be generated, often taking many months to accumulate, before the planned analysis can be performed and the resulting papers written and submitted for publication. | accuracy, animal, bac, clone, comparative, computational, genome, genomic, human, map, mapping, model organisms and comparative genomics databases, sequence, specie, tool | has parent organization: National Institutes of Health | nif-0000-21291 | SCR_008213 | Comparative Vertebrate Sequencing | 2026-09-19 12:57:16 | 0 | |||||||||
|
HumanBase Resource Report Resource Website 50+ mentions |
HumanBase (RRID:SCR_016145) | data or information resource, database | Formerly known as GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), HumanBase applies machine learning algorithms to learn biological associations from massive genomic data collections. These integrative analyses reach beyond existing "biological knowledge" represented in the literature to identify novel, data-driven associations. | genome, analysis, tissue, network, gene, machine, learning, biology | NCI T32 CA009528; NHGRI R01 HG005998; NHGRI T32 HG003284; NHLBI U54 HL117798; NIGMS P20 GM103534; NIGMS P50 GM071508; NIGMS R01 GM071966; US Department Of Health And Human Services HHSN272201000054C |
PMID:25915600 | Free, Public | SCR_016145 | GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), GIANT | 2026-09-19 12:57:35 | 95 | ||||||||
|
Genome Aggregation Database Resource Report Resource Website 5000+ mentions |
Genome Aggregation Database (RRID:SCR_014964) | gnomAD | data or information resource, database | Database that aggregates exome and genome sequencing data from large-scale sequencing projects. The gnomAD data set contains individuals sequenced using multiple exome capture methods and sequencing chemistries. Raw data from the projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects. | database, genome, , bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is related to: Broad Institute Genomics Platform has parent organization: Broad Institute has parent organization: Broad Institute of MIT and Harvard |
Broad Institute | Open source, Available to the biomedical community, The community can contribute to this resource | biotools:gnomad | https://github.com/macarthur-lab/gnomad_browser/issues, https://bio.tools/gnomad | SCR_014964 | gnomAD 2.0, gnomAD Browser, gnomAD version 2.0, Exome Aggregation Consortium | 2026-09-19 12:57:34 | 5310 | |||||
|
RegulomeDB Resource Report Resource Website 100+ mentions |
RegulomeDB (RRID:SCR_017905) | data or information resource, database, service resource | Database that annotates SNPs with known and predicted regulatory elements in intergenic regions of H. sapiens genome. Known and predicted regulatory DNA elements include regions of DNAase hypersensitivity, binding sites of transcription factors, and promoter regions that have been biochemically characterized to regulation transcription. Source of these data include public datasets from GEO, ENCODE project, and published literature. | Annotate, SNP, regulatory, DNA, element, intergenic, region, human, genome, sequence, DNAase, hypersensitivity, binding, site, transcription, factor, promoter, region, data, FASEB list | Beta Cell Consortium ; NHGRI U54 HG 004558 |
PMID:22955989 | Free, Freely available | SCR_017905 | 2026-09-19 12:57:37 | 161 | |||||||||
|
ABA Mouse Brain: Atlas Resource Report Resource Website 100+ mentions |
ABA Mouse Brain: Atlas (RRID:SCR_017479) | data or information resource, database, service resource | Genome wide database of gene expression in mouse brain. Genome-wide atlas of gene expression in the adult mouse brain. | Genome, data, gene, expression, mouse, brain |
has parent organization: Allen Institute for Brain Science is provided by: Allen Brain Atlas |
PMID:17151600 | Free, Freely available | SCR_017479 | Allen Brain Atlas: Mouse Brain, , Allen Brain Atlas Mouse Brain: Atlas | 2026-09-19 12:57:36 | 405 | ||||||||
|
Molecular Signatures Database Resource Report Resource Website 1000+ mentions |
Molecular Signatures Database (RRID:SCR_016863) | MSigDB | data or information resource, database | Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software. | collection, annotated, gene, set, GSEA, enrichment, analysis, genome, RNA, expression, data, FASEB list, DRKB |
uses: GSEA uses: Gene Set Enrichment Analysis has parent organization: Broad Institute |
NCI CA295532; NIGMS ; NIH |
Free, Freely available, Registration required to download GSEA software | https://www.gsea-msigdb.org/gsea/msigdb/ | SCR_016863 | Molecular Signatures Database, The Molecular Signatures Database, MSigDB, MSigDB database v6.2 | 2026-09-19 12:57:36 | 1702 | ||||||
|
SVA Resource Report Resource Website 10+ mentions |
SVA (RRID:SCR_002155) | SVA | commercial organization, software application, software resource | Software package to annotate, visualize, and analyze the genetic variants identified through next-generation sequencing studies, including whole-genome sequencing (WGS) and exome sequencing studies. SVA aims to provide the research community with a user-friendly and efficient tool to analyze large amount of genetic variants, and to facilitate the identification of the genetic causes of human diseases and related traits. | gene, genetic, genomic, annotate, visualize, genetic variant, next-generation sequencing, whole-genome sequencing, exome, sequencing, genome, disease, trait, bio.tools |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian has parent organization: Duke University School of Medicine; North Carolina; USA |
PMID:21624899 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154666, OMICS_00190, biotools:sequencevariantanalyzer | http://www.svaproject.org/, https://bio.tools/sequencevariantanalyzer | SCR_002155 | Sequence Variant Analyzer, SVA: Sequence Variant Analyzer | 2026-09-19 12:57:44 | 17 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.