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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Consensus CDS Resource Report Resource Website 100+ mentions |
Consensus CDS (RRID:SCR_006729) | CCDS | data or information resource, database | Database (anonymous FTP) resulting from a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations. Collaborators are EBI, NCBI, UCSC, WTSI and the initial results are also available from the participants'''' genome browser Web sites. In addition, CCDS identifiers are indicated on the relevant NCBI RefSeq and Entrez Gene records and in Map Viewer displays of RNA (RefSeq) and Gene annotations on the reference assembly. | human genome sequence, human protein, mouse genome sequence, mouse protein, protein coding region, gene, genome sequence, genome, sequence, gene annotation, protein, gold standard |
is listed by: OMICtools is related to: Entrez Gene is related to: HomoloGene is related to: MapViewer is related to: VEGA has parent organization: NCBI has parent organization: European Bioinformatics Institute has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom has parent organization: University of California at Santa Cruz; California; USA |
PMID:24217909 PMID:22434842 PMID:19498102 |
The community can contribute to this resource, Acknowledgement requested | nif-0000-02645, OMICS_01535 | http://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi | SCR_006729 | CCDS Database, NCBI Consensus CDS protein set, NCBI CCDS Database | 2026-02-14 02:06:27 | 230 | |||||
|
MyHits Resource Report Resource Website 10+ mentions |
MyHits (RRID:SCR_006757) | data or information resource, database | Database devoted to protein domains. It is also a collection of tools for the investigation of the relationships between protein sequences and motifs described on them. | protein, domain, motif, sequence, predictor, markov, model, gene, expression, mysql, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
PMID:17545200 | Free | nif-0000-02962, biotools:myhits | https://bio.tools/myhits | SCR_006757 | MyHit | 2026-02-14 02:06:34 | 39 | ||||||
|
Rickettsia Genome Database Resource Report Resource Website 1+ mentions |
Rickettsia Genome Database (RRID:SCR_007102) | data or information resource, database, image | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Rickettsia are obligate intracellular bacteria living in arthropods. They occasionally cause diseases in humans. To understand their pathogenicity, physiologies and evolutionary mechanisms, RicBase is sequencing different species of Rickettsia. Up to now we have determined the genome sequences of R. conorii, R. felis, R. bellii, R. africae, and R. massiliae. The RicBase aims to organize the genomic data to assist followup studies of Rickettsia. This website contains information on R. conorii and R. prowazekii. A R. conorii and R. prowazekii comparative genome map is also available. Images of genome maps, dendrogram, and sequence alignment allow users to gain a visualization of the diagrams. | evolutionary, africae, alignment, arthropod, bacteria, bellii, conorii, dendrogram, disease, genome, genomic, human, intracellular, massiliae, mechanism, pathogenicity, physiology, prowazekii, rickettsia, sequence, specie, journal article, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20993 | SCR_007102 | RicBase | 2026-02-14 02:05:58 | 1 | |||||||||
|
UniSTS Resource Report Resource Website 10+ mentions |
UniSTS (RRID:SCR_006843) | UniSTS | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database of sequence tagged sites (STSs) derived from STS-based maps and other experiments. STSs are defined by PCR primer pairs and are associated with additional information such as genomic position, genes, and sequences. Chromosome maps are labeled by name of the originating organism, the map title, total markers, total UniSTSs and links to view maps as well as research documents available through PubMed, another NCBI database. The search functions within UniSTS allow the user to search by gene marker, chromosome, gene symbol and gene description terms to locate markers on specified genes. A representation of the UniSTS datasets is available by ftp. NOTE: All data from this resource have been moved to the Probe database, http://www.ncbi.nlm.nih.gov/probe. You can retrieve all UniSTS records by searching the probe database using the search term unists(properties). (use brackets insead of parenthesis). Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). | marker, primer sequence, mapping, sequence tagged site, genomic position, gene, sequence, nucleotide, nucleotide sequence, chromosome, gold standard |
is listed by: re3data.org is related to: NCBI Probe has parent organization: NCBI |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03614 | SCR_006843 | UniSTS: Integrating Markers and Maps, NCBI UniSTS, Entrez UniSTS | 2026-02-14 02:06:01 | 40 | |||||||
|
RNase P Database Resource Report Resource Website 1+ mentions |
RNase P Database (RRID:SCR_006680) | RNase P Database | data or information resource, database | Ribonuclease P is responsible for the 5''-maturation of tRNA precursors. Ribonuclease P is a ribonucleoprotein, and in bacteria (and some Archaea) the RNA subunit alone is catalytically active in vitro, i.e. it is a ribozyme. The Ribonuclease P Database is a compilation of ribonuclease P sequences, sequence alignments, secondary structures, three-dimensional models and accessory information. The database contains information on bacterial, archaeal, and eukaryotic RNase P. The RNase P and protein sequences are available from phylogentically-arranged lists, individual sequences, or aligned in GenBank format. The database also provides secondary structures and 3D models, as well as movies, still images, and other accessory information. | ribonuclease p, ribonucleoprotein, ribozyme, sequence, sequence alignment, secondary structure, 3-d model, rnase p rna | has parent organization: North Carolina State University; North Carolina; USA | Isis Phamaceuticals ; NIGMS GM52894 |
PMID:9847214 | nif-0000-03403 | SCR_006680 | The RNase P Database, Ribonuclease P Database | 2026-02-14 02:06:27 | 8 | ||||||
|
Biomolecular Object Network Databank Resource Report Resource Website 10+ mentions |
Biomolecular Object Network Databank (RRID:SCR_007433) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 19,2019.BOND, which requires registration of a free account, is a resource used to perform cross-database searches of available sequence, interaction, complex and pathway information. BOND integrates a range of component databases including GenBank and BIND, the Biomolecular Interaction Network Database. BOND contains 70+ million biological sequences, 33,000 structures, 38,000 GO terms, and over 200,000 human curated interactions contained in BIND, and is open access. BOND serves the interests of the developing global interactome effort encompassing the genomic, proteomic and metabolomic research communities. BOND is the first open access search resource to integrate sequence and interaction information. BOND integrates BLAST functionality, and contains a well-documented API. BOND also stores annotation links for sequences, including links to Genome Ontology descriptions, MedLine abstracts, taxon identifiers, associated structures, redundant sequences, sequence neighbors, conserved domains, data base cross-references, Online Mendalian Inheritance in Man identifiers, LocusLink identifiers and complete genomes. BIND on BOND The Biomolecular Interaction Network Database (BIND), a component database of BOND, is a collection of records documenting molecular interactions. The contents of BIND include high-throughput data submissions and hand-curated information gathered from the scientific literature. BIND is an interaction database with three classifications for molecular associations: molecules that associate with each other to form interactions, molecular complexes that are formed from one or more interaction(s) and pathways that are defined by a specific sequence of two or more interactions.Interactions A BIND record represents an interaction between two or more objects that is believed to occur in a living organism. A biological object can be a protein, DNA, RNA, ligand, molecular complex, gene, photon or an unclassified biological entity. BIND records are created for interactions which have been shown experimentally and published in at least one peer-reviewed journal. A record also references any papers with experimental evidence that support or dispute the associated interaction. Interactions are the basic units of BIND and can be linked together to form molecular complexes or pathways. The BIND interaction viewer is a tool to visualize and analyze molecular interactions, complexes and pathways. The BIND interaction viewer uses Ontoglyphs to display information about a protein via attributes such as molecular function, biological process and sub-cellular localization. Ontoglyphs allow to graphically and interactively explore interaction networks, by visualizing interactions in the context of 34 functional, 25 binding specificity and 24 sub-cellular localization Ontoglyphs categories. We will continue to provide an open access version of BOND, providing its subscribers with free, unlimited access to a core content set. But we are confident you will soon want to upgrade to BONDplus. | gene, genes, genome, annotation, binding specificity, biological process, complex, dna, genomes, genomic, human, interaction, interactome, ligand, metabolomic, molecular, molecular complex, molecular function, molecular interaction, mouse, ontoglyphs, ontology terms, pathway, photon, protein, protein-protein interactions, proteomic, rna, sequence, structure, sub-cellular localization, taxonomy, unclassified biological entity | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00571 | SCR_007433 | BOND | 2026-02-14 02:06:28 | 17 | |||||||||
|
5S Ribosomal RNA Database Resource Report Resource Website 1+ mentions |
5S Ribosomal RNA Database (RRID:SCR_007545) | 5S Ribosomal RNA Database | data or information resource, database | A database on nucleotide sequences of 5S rRNAs and their genes. The database contains 1985 primary structures of 5S rRNA and 5S rDNA, and was last updated in 2002, according to the website. They include 60 archaebacterial, 470 eubacterial, 63 plastid, nine mitochondrial and 1383 eukaryotic sequences. The nucleotide sequences of the 5S rRNAs or 5S rDNAs are divided according to the taxonomic position of the source organisms. The sequences for particular organisms can be retrieved as single files using a taxonomic browser or in multiple sequence structural alignments. The multiple sequence alignments of 5S ribosomal RNAs can be downloaded in TAB-delimited and FASTA formats. | eubacteria, eukaryote, archaebacteria, mitochondrion, model rna molecule, nucleotide sequence database, ribosome, plastid, ribosomal rna, sequence alignment, rna-protein interaction, rna, rna structure, 5s rrna, gene, 5s rdna, mitochondria, sequence, alignment | has parent organization: Polish Academy of Sciences Warsaw; Warsaw; Poland | Deutsche Agentur fur Raumfahrtangelegenheiten GmbH ; Fonds der Chemischen Industrie e.V. ; Polish State Committee for Scientific Research ; DFG |
PMID:10592212 | nif-0000-02526 | http://rose.man/poznan. pl/5SData/index.html | SCR_007545 | 2026-02-14 02:06:36 | 6 | ||||||
|
MIPS Ustilago maydis Database Resource Report Resource Website 1+ mentions |
MIPS Ustilago maydis Database (RRID:SCR_007563) | data or information resource, database | The MIPS Ustilago maydis Genome Database aims to present information on the molecular structure and functional network of the entirely sequenced, filamentous fungus Ustilago maydis. The underlying sequence is the initial release of the high quality draft sequence of the Broad Institute. The goal of the MIPS database is to provide a comprehensive genome database in the Genome Research Environment in parallel with other fungal genomes to enable in depth fungal comparative analysis. The specific aims are to: 1. Generate and assemble Whole Genome Shotgun sequence reads yielding 10X coverage of the U. maydis genome 2. Integrate the genomic sequence assembly with physical maps generated by Bayer CropScience 3. Perform automated annotation of the sequence assembly 4. Align the strain 521 assembly with the FB1 assembly provided by Exelixis 5. Release the sequence assembly and results of our annotation and analysis to public Ustilago maydis is a basidiomycete fungal pathogen of maize and teosinte. The genome size is approximately 20 Mb. The fungus induces tumors on host plants and forms masses of diploid teliospores. These spores germinate and form haploid meiotic products that can be propagated in culture as yeast-like cells. Haploid strains of opposite mating type fuse and form a filamentous, dikaryotic cell type that invades plant tissue to reinitiate infection. Ustilago maydis is an important model system for studying pathogen-host interactions and has been studied for more than 100 years by plant pathologists. Molecular genetic research with U. maydis focuses on recombination, the role of mating in pathogenesis, and signaling pathways that influence virulence. Recently, the fungus has emerged as an excellent experimental model for the molecular genetic analysis of phytopathogenesis, particularly in the characterization of infection-specific morphogenesis in response to signals from host plants. Ustilago maydis also serves as an important model for other basidiomycete plant pathogens that are more difficult to work with in the laboratory, such as the rust and bunt fungi. Genomic sequence of U. maydis will also be valuable for comparative analysis of other fungal genomes, especially with respect to understanding the host range of fungal phytopathogens. The analysis of U. maydis would provide a framework for studying the hundreds of other Ustilago species that attack important crops, such as barley, wheat, sorghum, and sugarcane. Comparisons would also be possible with other basidiomycete fungi, such as the important human pathogen C. neoformans. Commercially, U. maydis is an excellent model for the discovery of antifungal drugs. In addition, maize tumors caused by U. maydis are prized in Hispanic cuisine and there is interest in improving commercial production. The complete putative gene set of the Broad Institute''s second release is loaded into the database and in addition all deviating putative genes from a putative gene set produced by MIPS with different gene prediction parameters are also loaded. The complete dataset will then be analysed, gene predictions will be manually corrected due to combined information derived from different gene prediction algorithms and, more important, protein and EST comparisons. Gene prediction will be restricted to ORFs larger than 50 codons; smaller ORFs will be included only if similarities to other proteins or EST matches confirm their existence or if a coding region was postulated by all prediction programs used. The resulting proteins will be annotated. They will be classified according to the MIPS classification catalogue receiving appropriate descriptions. All proteins with a known, characterized homolog will be automatically assigned to functional categories using the MIPS functional catalog. All extracted proteins are in addition automatically analysed and annotated by the PEDANT suite. | drug, environment, filamentous, functional, fungal, fungal genome databases, fungus, gene, genetic, basidiomycete, cell, codon, culture, dikaryotic, diploid, genome, genomic, germinate, haploid, host, human, infection, maize, mating, meiotic, model, molecular, morphogenesis, network, orf, pathogen, pathologist, phytopathogen, phytopathogenesis, plant, protein, recombination, sequence, signal, spore, strain, structure, teliospore, teosinte, tissue, tumor, ustilago maydis, virulence, yeast | nif-0000-21276 | SCR_007563 | MUMDB | 2026-02-14 02:06:04 | 9 | ||||||||||
|
Topology Data Bank of Transmembrane Proteins Resource Report Resource Website 1+ mentions |
Topology Data Bank of Transmembrane Proteins (RRID:SCR_007964) | TOPDB | data or information resource, database | Collection of transmembrane protein datasets containing experimentally derived topology information from the literature and from public databases. Web interface of TOPDB includes tools for searching, relational querying and data browsing, visualisation tools for topology data. | collection, transmembrane, protein, dataset, topology, public, data, sequence, database |
has parent organization: Hungarian Academy of Sciences; Budapest; Hungary works with: CCTOP |
Hungarian research and development funds ; OTKA ; Öveges fellowship ; Bolyai János Scholarship |
PMID:17921502 | Free, Available for download, Freely available for non commercial users | nif-0000-03568 | SCR_007964 | Topology Data Bank of Transmembrane Proteins, TOPDB | 2026-02-14 02:06:33 | 6 | |||||
|
SIMAP Resource Report Resource Website 10+ mentions |
SIMAP (RRID:SCR_007927) | SIMAP | data or information resource, database | It provides a database based on a pre-computed similarity matrix covering the similarity space formed by >4 million amino acid sequences from public databases and completely sequenced genomes. The database is capable of handling very large datasets and is updated incrementally. For sequence similarity searches and pairwise alignments, we implemented a grid-enabled software system, which is based on FASTA heuristics and the Smith Waterman algorithm. SimpleSIMAP and AdvancedSIMAP retrieve homologs for given protein sequences that need to be contained in the SIMAP database. While SimpleSIMAP provides only selected parameters and preconfigured search spaces, the AdvancedSIMAP allows the user to specify search space, filtering and sorting parameters in a flexible manner. Both types of queries result in lists of homologs that are linked in turn to their homologs. So the web interfaces allow users to explore quickly and interactively the protein world by homology. Sponsors: SIMAP is supported by the Department of Genome Oriented Bioinformatics of the Technische Universitt Mnchen and the Institute for Bioinformatics of the GSF-National Research Center for Environment and Health. | genome, alignment, amino acid, homolog, matrix, protein, protein domain and protein classification databases, sequence | SCR_007927 | The Similarity Matrix of Proteins, Similarity Matrix of Proteins | 2026-02-14 02:06:05 | 14 | ||||||||||
|
Augur Resource Report Resource Website 50+ mentions |
Augur (RRID:SCR_023964) | software resource, software toolkit | Software package to track evolution from sequence and serological data. Provides collection of commands which are designed to be composable into larger processing pipelines. | track evolution, sequence, serological data. | is listed by: Debian | Free, Available for download, Freely available | https://sources.debian.org/src/augur/ https://docs.nextstrain.org/projects/augur/en/stable/ |
SCR_023964 | augur | 2026-02-14 02:05:38 | 67 | ||||||||
|
PhyloPythia Resource Report Resource Website |
PhyloPythia (RRID:SCR_000540) | PhyloPythia | data analysis service, production service resource, service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Data analysis service for accurate phylogenetic classification of variable-length DNA fragments. | classification, phyolgenetic, dna fragment, dna, metagenome, sequence | is listed by: OMICtools | PMID:17179938 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01459 | SCR_000540 | 2026-02-14 02:05:32 | 0 | |||||||
|
dbSTS Resource Report Resource Website 1+ mentions |
dbSTS (RRID:SCR_000400) | dbSTS | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, as of October 1, 2013; however, the site is still accessible. NCBI resource that contains sequence and mapping data on short genomic landmark sequences or Sequence Tagged Sites. STS sequences are incorporated into the STS Division of GenBank. The dbSTS database offers a route for submission of STS sequences to GenBank. It is designed especially for the submission of large batches of STS sequences. | genomic, mapping, sequence, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NIH | PMID:2781285 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:dbsts, nif-0000-20939, r3d100010649 | https://bio.tools/dbsts https://doi.org/10.17616/R39P5C |
SCR_000400 | NCBI dbSTS: database of Sequence Tagged Sites, Sequence Tagged Sites Database, NCBI dbSTS, dbSTS: database of Sequence Tagged Sites, Database of Sequence Tagged Sites | 2026-02-14 02:05:43 | 3 | ||||
|
Interolog/Regulog Database Resource Report Resource Website 1+ mentions |
Interolog/Regulog Database (RRID:SCR_000755) | data or information resource, database | Interolog/Regulog quantitatively assess the degree to which interologs can be reliably transferred between species as a function of the sequence similarity of the corresponding interacting proteins. | interacting, interolog, protein, regulog, sequence, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Yale University; Connecticut; USA |
PMID:15173116 | nif-0000-20863, biotools:interolog | https://bio.tools/interolog | SCR_000755 | Interolog | 2026-02-14 02:05:33 | 2 | |||||||
|
GTEx eQTL Browser Resource Report Resource Website 100+ mentions |
GTEx eQTL Browser (RRID:SCR_001618) | data or information resource, database | Database and browser that provides a central resource to archive and display association between genetic variation and high-throughput molecular-level phenotypes. This effort originated with the NIH GTEx roadmap project: however the scope of this resource will be extended to include any available genotype/molecular phenotype datasets. | genetic variation, high-throughput, phenotype, genotype, molecular, molecule, gene, gene expression, snp, trait, expression, quantitative trait locus, expression quantitative trait locus, genome, probe, sequence, statistics, p-value, rna-seq, array, lymphoblastoid, liver, cerebellum, frontal cortex, temporal cortex, pons, gene regulation, tissue, mrna, data set | has parent organization: NCBI | NIH Common Fund 268201000029C-4-0-2 | Free, Freely available | nlx_153884 | http://www.gtexportal.org/home/ | SCR_001618 | NCBI GTEx eQTL Browser, Genotype-Tissue Expression eQTL Browser, GTEx (Genotype-Tissue Expression) eQTL Browser, NCBI GTeX eQTL Browser | 2026-02-14 02:06:02 | 111 | ||||||
|
Neurospora crassa Database Resource Report Resource Website 1+ mentions |
Neurospora crassa Database (RRID:SCR_001372) | NCD | data or information resource, database | It's strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated and reassembled. This method is standard for microbial genome sequencing, and has been successfully applied to Drosophila. Neurospora is an ideal candidate for this approach because of the low repeat content of the genome. Neurospora crassa Database has expanded the scope of its database by including a mitochondrial annotation, incorporating information from the Neurospora compendium, and assigning NCU numbers to tRNA and rRNAs. They have improved the annotation process to predict untranslated regions and to reduce the number of spurious predictions. As a result, version 3 contains 9,826 genes, 794 fewer than version 2. During the initial phase of a WGS project they sequence both ends of the 4 kb inserts from a plasmid library prepared using randomly sheared and sized-selected DNA. The shotgun reads are assembled by recognizing overlapping regions of sequence and making use of the knowledge of the orientation and distance of the paired reads from each plasmid. Obtaining deep sequence coverage though high levels of sequence redundancy assures that the majority of the genome is represented in the initial assembly and that the consensus sequence is of high quality. Their approach toward the initial assembly was conservative, meaning they would rather fail to join sequence contigs that might overlap each other than risk making false joins between two closely related but non-overlapping genomic regions. Hence, the initial assembly contains many sequence contigs and over time these contigs will increase in size and decrease in number as they are joined together. After shotgun sequencing and assembly there was a second phase of sequencing in which additional sequence was obtained from specific regions that were missing from the original assembly or are recognized to be of low quality in the consensus. The Neurospora crassa sequencing project reflects a close collaboration between the Broad Institute and the Neurospora research community. Principal investigators include Bruce Birren and Chad Nusbaum from the Broad Institute, Matt Sachs at the Oregon Graduate Institute of Science and Technology, Chuck Staben at the University of Kentucky and Jak Kinsey at the Fungal Genetics Stock Center at the University of Kansas Medical Center. In addition, we have a larger Advisory Board made up of a number of Neurospora researchers. Sponsors: They have been funded by the National Science Foundation to sequence the N. crassa genome and make the information publicly available. | gene, annotation, compendium, contig, distance, drosophila, genome, mitochondrial, neurospora crassa, plasmid, region, rrna, sequence, trna, untranslated | Free, Freely available, | nif-0000-20965 | http://www.broadinstitute.org/annotation/genome/neurospora/Home.html | SCR_001372 | Neurospora crassa Database | 2026-02-14 02:06:01 | 4 | |||||||
|
AmphoraNet Resource Report Resource Website 10+ mentions |
AmphoraNet (RRID:SCR_005009) | AmphoraNet | data analysis service, production service resource, service resource, analysis service resource | Webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data. It is capable of assigning a probability-weighted taxonomic group for each phylogenetic marker gene found in the input metagenomic sample. | dna sequence, amino acid sequence, dna, sequence, amino acid, phylogenetic, reliability score, nucleotide, protein, nucleotide sequence, protein sequence, phylogenetic analysis, metagenomic, metagenomics, phylotyping, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Eotvos Lorand University; Budapest; Hungary |
PMID:24144838 | Acknowledgement requested, Free, Public | biotools:amphoranet, OMICS_01450 | https://bio.tools/amphoranet | SCR_005009 | 2026-02-14 02:05:54 | 16 | ||||||
|
BioSample Database at EBI Resource Report Resource Website 10+ mentions |
BioSample Database at EBI (RRID:SCR_004856) | BioSD | data or information resource, database | Database that aggregates sample information for reference samples (e.g. Coriell Cell lines) and samples for which data exist in one of the EBI''''s assay databases such as ArrayExpress, the European Nucleotide Archive or PRoteomics Identificates DatabasE. It provides links to assays for specific samples, and accepts direct submissions of sample information. The goals of the BioSample Database include: # recording and linking of sample information consistently within EBI databases such as ENA, ArrayExpress and PRIDE; # minimizing data entry efforts for EBI database submitters by enabling submitting sample descriptions once and referencing them later in data submissions to assay databases and # supporting cross database queries by sample characteristics. The database includes a growing set of reference samples, such as cell lines, which are repeatedly used in experiments and can be easily referenced from any database by their accession numbers. Accession numbers for the reference samples will be exchanged with a similar database at NCBI. The samples in the database can be queried by their attributes, such as sample types, disease names or sample providers. A simple tab-delimited format facilitates submissions of sample information to the database, initially via email to biosamples (at) ebi.ac.uk. Current data sources: * European Nucleotide Archive (424,811 samples) * PRIDE (17,001 samples) * ArrayExpress (1,187,884 samples) * ENCODE cell lines (119 samples) * CORIELL cell lines (27,002 samples) * Thousand Genome (2,628 samples) * HapMap (1,417 samples) * IMSR (248,660 samples) | cell line, cell, nucleotide, sequencing, proteomics, peptide, protein, genomics, gene expression, biological sample, molecular, sequence, structure, cell line, topical portal, aggregator, gold standard, bio.tools |
uses: European Nucleotide Archive (ENA) uses: Proteomics Identifications (PRIDE) uses: ArrayExpress uses: ENCODE uses: Coriell Institute for Medical Research uses: 1000 Genomes: A Deep Catalog of Human Genetic Variation uses: International HapMap Project uses: International Mouse Strain Resource is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: NCBI BioSample has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory; Heidelberg; Germany ; European Union FP7 HEALTH-F4-2010-241669; European Union FP7 HEALTH-F4-2007-201413 |
PMID:22096232 | The community can contribute to this resource, Acknowledgement requested | biotools:biosamples, r3d100012628, nlx_143930, OMICS_01025 | https://bio.tools/biosamples https://doi.org/10.17616/R37R3P |
SCR_004856 | BioSamples database, BioSamples, BioSamples Database at EBI, BioSample Database at the EBI, EBI BioSample Database, BioSample Database, BioSD at EBI, BioSD - BioSample Database | 2026-02-14 02:05:54 | 14 | ||||
|
SuperCAT Resource Report Resource Website 10+ mentions |
SuperCAT (RRID:SCR_004882) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11,2023. SuperCAT hosts typing databases for the Bacillus cereus group of bacteria. The databases contain MultiLocus Sequence Typing (MLST), MultiLocus Enzyme Electrophoresis (MLEE), and Amplified Fragment Length Polymorphism (AFLP) phylogenetic data. multilocus, sequence, Bacillus cereus, bacteria, Genomics, non-vertebrate, taxonomy, identification | bacillus cereus, bacteria, genomics, identification, multilocus, non-vertebrate, sequence, taxonomy | has parent organization: University of Oslo; Oslo; Norway | PMID:29568820 PMID:20651034 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03509 | SCR_004882 | SuperCAT | 2026-02-14 02:05:54 | 15 | |||||||
|
SGN Resource Report Resource Website 500+ mentions |
SGN (RRID:SCR_004933) | SGN, SGN ref | data or information resource, database | A clade oriented, community curated database containing genomic, genetic, phenotypic and taxonomic information for plant genomes. Genomic information is presented in a comparative format and tied to important plant model species such as Arabidopsis. SGN provides tools such as: BLAST searches, the SolCyc biochemical pathways database, a CAPS experiment designer, an intron detection tool, an advanced Alignment Analyzer, and a browser for phylogenetic trees. The SGN code and database are developed as an open source project, and is based on database schemas developed by the GMOD project and SGN-specific extensions. | database, clade, genomic, sequence, phenotype, pathway, genetic, taxonomy, annotation, blast, plant genome, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: Sol Genomics Network - Bulk download is related to: AmiGO has parent organization: Boyce Thompson Institute for Plant Research |
USDA ; ATC Inc. Advanced Technologies Cambridge ; NSF 0116076; NSF 9872617; NSF 975866; NSF 0421634 |
PMID:20935049 PMID:16010005 |
Public, The community can contribute to this resource | r3d100012078, nlx_89764, biotools:sol_genomics_network | https://bio.tools/sol_genomics_network https://doi.org/10.17616/R3FS95 |
http://www.sgn.cornell.edu/ | SCR_004933 | SGN ref, Sol Genomics Network | 2026-02-14 02:05:51 | 993 |
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 RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID 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 RRID then you can log in from here to get additional features in RRID 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 RRID 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.