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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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RAxML Resource Report Resource Website 10000+ mentions |
RAxML (RRID:SCR_006086) | RAxML | data analysis software, data processing software, software application, software resource | Software program for phylogenetic analyses of large datasets under maximum likelihood. | phylogeny, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: RAxML Next Generation works with: PAML |
PMID:24451623 PMID:16928733 PMID:15608047 DOI:10.1093/bioinformatics/btu033 |
GNU General Public License | biotools:raxml, OMICS_02242 | https://bio.tools/raxml, https://sources.debian.org/src/raxml/ | SCR_006086 | Randomized Axelerated Maximum Likelihood | 2026-09-12 12:56:35 | 12997 | |||||
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OGEE - Online GEne Essentiality database Resource Report Resource Website 1+ mentions |
OGEE - Online GEne Essentiality database (RRID:SCR_006080) | OGEE, OGEEdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Online GEne Essentiality database containing genes that were tested experimentally for essentiality and their features; it also provides a set of tools to systematically explore and analyze these data. The main purpose of this project is to better understand gene essentiality by facilitating the comparisons of the differences and similarities between essential and non-essential genes. This is achieved by collecting not only experimentally tested essential and non-essential genes, but also associated gene features such as expression profiles, duplication status, conservation across species, evolutionary origins and involvement in embryonic development. We focus on large-scale experiments and complement our data with text-mining results. Genes are organized into data sets according to their sources. Genes with variable essentiality status across data sets are tagged as conditionally essential, highlighting the complex interplay between gene functions and environments. Linked tools allow the user to compare gene essentiality among different gene groups, or compare features of essential genes to non-essential genes, and visualize the results. Why is it different from existing databases? * we included both essential and non-essential genes so that we could better understand the gene essentiality by comparing the similarities and differences between the two gene sets; * we compiled a list of features for each gene, including whether they are duplicates or involved in development, the number of other homologous genes in the same genome, as well as their earliest expression stages during development. These features are keys to understand the essentiality of genes; * we also provide a set of tools to explore our data and visualize the results. For example, users can simply divide genes into two groups according to whether they are duplicates, calculate the proportion of essential genes (PE%) in each group and then visualize the results in a bar plot; or they can classify genes into multiple groups according to their earliest expression stages during evolution, compare the essentiality of genes that were expressed earlier with those were latter, and plot the results in a line chart. | genome-wide association study, essentiality, gene, essential gene, non-essential gene, growth, expression profile, duplication status, conservation, evolutionary origin, embryonic development, text-mining, gene function, environment, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: European Molecular Biology Laboratory |
BMBF 0315450C | PMID:22075992 | Free | nlx_151488, biotools:ogee | https://bio.tools/ogee | SCR_006080 | Online GEne Essentiality database | 2026-09-12 12:56:35 | 2 | ||||
|
ICEberg Resource Report Resource Website 50+ mentions |
ICEberg (RRID:SCR_006026) | ICEberg | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | ICEberg is an integrated database that provides comprehensive information about integrative and conjugative elements (ICEs) found in bacteria. ICEs are conjugative self-transmissible elements that can integrate into and excise from a host chromosome. An ICE contains three typical modules, integration and excision, conjugation, and regulation modules, that collectively promote vertical inheritance and periodic lateral gene flow. Many ICEs carry likely virulence determinants, antibiotic-resistant factors and/or genes coding for other beneficial traits. ICEberg offers a unique, highly organized, readily explorable archive of both predicted and experimentally supported ICE-relevant data. It currently contains details of 428 ICEs found in representatives of 124 bacterial species, and a collection of >400 directly related references. A broad range of similarity search, sequence alignment, genome context browser, phylogenetic and other functional analysis tools are readily accessible via ICEberg. ICEberg will facilitate efficient, multidisciplinary and innovative exploration of bacterial ICEs and be of particular interest to researchers in the broad fields of prokaryotic evolution, pathogenesis, biotechnology and metabolism. The ICEberg database will be maintained, updated and improved regularly to ensure its ongoing maximum utility to the research community. | dna, protein, sequence, chromosome, element, gene, similarity search, sequence alignment, genome, phylogenetic, functional analysis, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: Shanghai Jiao Tong University; Shanghai; China |
National Natural Science Foundation of China 973 program 2009CB118901; National Natural Science Foundation of China 973 program 2012CB721002; National Natural Science Foundation of China 863 program 2011BAD23B05-3; Ministry of Science and Technology China ; Ministry of Education China NCET-10-0572; Shanghai Jiaotong University ; Shanghai Municipality ; Action Medical Research SP4255; Innovation Fellowship ; East Midlands Development Agency |
PMID:22009673 | nlx_151424, biotools:iceberg | https://bio.tools/iceberg | SCR_006026 | ICEberg: a web-based resource for integrative and conjugative elements found in Bacteria | 2026-09-12 12:56:34 | 89 | |||||
|
h5vc Resource Report Resource Website 1+ mentions |
h5vc (RRID:SCR_006039) | h5vc | software resource | Software package that contains functions to interact with tally data from Next-Generation Sequencing (NGS) experiments that is stored in HDF5 files. | next-generation sequencing, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor has parent organization: European Bioinformatics Institute |
PMID:24451629 | GNU General Public License, v3 or newer | biotools:h5vc, OMICS_02243 | http://www.ebi.ac.uk/~pyl/h5vc/, https://bio.tools/h5vc | SCR_006039 | h5vc - Scalable nucleotide tallies with HDF5, h5vc - Managing alignment tallies using a hdf5 backend | 2026-09-12 12:56:34 | 2 | |||||
|
Polbase Resource Report Resource Website |
Polbase (RRID:SCR_006107) | data or information resource, data repository, database, service resource, storage service resource | Repository of biochemical, genetic, and structural information about DNA Polymerases. Polbase is designed to compile detailed results of polymerase experimentation, presenting them in a dynamic view to inform further research. After validation, results from references are displayed in context with relevant experimental details and are always traceable to their source publication. Polbase is connected to other resources, including PubMed, UniProt and the RCSB Protein Data Bank, to provide multi-faceted views of polymerase knowledge. In addition to a simple web interface, Polbase data is exposed for custom analysis by external software. | dna polymerase repository, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: PubMed is related to: UniProt has parent organization: New England Biolabs |
Small Business Innovation Research ; NIGMS 1R44GM087021 |
PMID:21993301 | Free, Open unspecified license, Acknowledgement required | biotools:polbase, nlx_151580 | https://bio.tools/polbase | SCR_006107 | DNA Polymerase Database | 2026-09-12 12:56:35 | 0 | |||||
|
UMD-BRCA1/ BRCA2 databases Resource Report Resource Website 10+ mentions |
UMD-BRCA1/ BRCA2 databases (RRID:SCR_006128) | UMD-BRCA1/ BRCA2 databases | data or information resource, data repository, database, service resource, storage service resource | The UMD-BRCA1/BRCA2 databases have been set up in a joined national effort through the network of 16 diagnostic laboratories to provide up-to-date information about mutations of the BRCA1 and BRCA2 genes identified in patients with breast and/or ovarian cancer. These databases currently contain published and unpublished information about the BRCA1/BRCA2 mutations reported in French diagnostic laboratories. This database includes 28 references and 5530 mutations (1440 different mutations and 786 protein variants) The databases of BRCA1 and BRCA2 mutations were built using the Universal Mutation Database tool. For each mutation, information is provided at several levels: * at the gene level: exon and codon number, wild type and mutant codon, mutation event, mutation name and, * at the protein level: wild type and mutant amino acid, binding domain, affected domain. If you want to submit a mutation, please contact R. Lidereau., S. Caputo. or E. Rouleau. | cancer, gene, mutation, exon, codon, wild type, mutant, mutation, protein, amino acid, binding domain, affected domain, brca1, brca2, variant, polymorphism, unclassified variant, unknown variant, female, woman, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: National Institute of Health and Medical Research; Rennes; France |
Breast cancer, Ovarian cancer | French National Cancer Institute ; European Union FP7/2007-2013; Association dAide a la Recherche Cancerologique de Saint Cloud |
PMID:22144684 | The UMD- BRCA1 Locus Specific Databases constitute the intellectual property of the curators of the database. Any unauthorized copying, Storage or distribution of this material without written permission from the curators would lead to copyright infringement with possible ensuing litigation. | biotools:brca_share, nlx_151608 | https://bio.tools/brca_share | SCR_006128 | UMD-BRCA1 mutations database, UMD-BRCA1 / BRCA2 databases, UMD-BRCA1/BRCA2 databases | 2026-09-12 12:56:35 | 26 | |||
|
PRED-GPCR Resource Report Resource Website 1+ mentions |
PRED-GPCR (RRID:SCR_006196) | PRED-GPCR | analysis service resource, data analysis service, data or information resource, data set, production service resource, service resource | A prediction tool for GPCR Family Classification from sequence alone based on a probabilistic method that uses family-specific profile Hidden Markov Models. The PRED-GPCR system is based on a probabilistic method that uses family specific profile HMMs in order to determine to which GPCR family a query sequence belongs or resembles. The approach proposed in this method exploits the descriptive power of profile HMMs along with an exhaustive discrimination assessment method to select only highly selective and sensitive profiles, for each family. The collection of these profiles constitutes a signature library, which is scanned, for significant matches with a given query sequence. The output report for a query sequence consists of two sections: * A ranked list of the profile HMM matches, below the selected individual motif E-value cutoff, along with their corresponding family. * A ranked list of the Combined P-values, E-values as well as the number of profiles matched for each family. To cross-evaluate your results you can browse through Swiss-Prot, Trembl, Pfam and Prosite family related entries. | g-protein coupled receptor, classification, hidden markov model, sequence, fasta, family classification, motif, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
PMID:15215415 | nlx_151741, biotools:pred-gpcr | https://bio.tools/pred-gpcr | SCR_006196 | PRED-GPCR: GPCRs Family classification from sequence alone | 2026-09-12 12:56:36 | 2 | ||||||
|
VBASE2 Resource Report Resource Website 50+ mentions |
VBASE2 (RRID:SCR_007082) | VBASE2 | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Integrative database of germ-line V genes from the immunoglobulin loci of human and mouse. It presents V gene sequences extracted from the EMBL nucleotide sequence database and Ensembl together with links to the respective source sequences. Based on the properties of the source sequences, V genes are classified into 3 different classes: * Class 1: genomic and rearranged evidence * Class 2: genomic evidence only * Class 3: rearranged evidence only This allows careful sequence quality validation by the user. References to other immunological databases ( KABAT, IMGT/LIGM and VBASE ) are given to provide all public annotation data for each V gene. The VBASE2 database can be accessed either by the Direct Query interface or by the DNAPLOT Query interface. The Sequences given by the user are aligned with DNAPLOT against the VBASE2 database. Direct Query allows to enter sequence IDs and names (Field 1), choose species, locus, V gene family and class (Field 2) or search for 100% sequences (Field 3). At the DNAPLOT Query, the sequences given by the user are aligned with DNAPLOT against the VBASE2 database. The DNAPLOT program offers V gene nucleotide sequence alignment referring to the IMGT V gene unique numbering. The Quick Search can be used either for Direct Query to search for sequence IDs and V gene names or for DNAPLOT Query for up to 5 sequences. The new Fab Analysis allows you to align Fab, scFab, scAb or scFv sequences with DNAPLOT against the VBASE2 database, where both heavy and light chain are analyzed. | v gene sequence, v gene, gene, dna, sequence, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is related to: European Nucleotide Archive (ENA) is related to: Ensembl |
BMBF 031U110A/031U210A | PMID:15608286 | Acknowledgement requested | nlx_25238, biotools:germ-line_v_genes | https://bio.tools/germ-line_v_genes | SCR_007082 | VBASE2: the integrative germ-line V gene database | 2026-09-12 12:56:49 | 74 | ||||
|
Peakzilla Resource Report Resource Website 1+ mentions |
Peakzilla (RRID:SCR_007471) | Peakzilla | software resource | An algorithm to identify transcription factor binding sites from ChIP-seq data. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
biotools:peakzilla, OMICS_00454 | https://bio.tools/peakzilla | SCR_007471 | 2026-09-12 12:56:55 | 6 | ||||||||
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Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | data access protocol, data or information resource, data repository, database, service resource, software resource, storage service resource, web service | A large database of CATH protein domain assignments for ENSEMBL genomes and Uniprot sequences. Gene3D is a resource of form studying proteins and the component domains. Gene3D takes CATH domains from Protein Databank (PDB) structures and assigns them to the millions of protein sequences with no PDB structures using Hidden Markov models. Assigning a CATH superfamily to a region of a protein sequence gives information on the gross 3D structure of that region of the protein. CATH superfamilies have a limited set of functions and so the domain assignment provides some functional insights. Furthermore most proteins have several different domains in a specific order, so looking for proteins with a similar domain organization provides further functional insights. Strict confidence cut-offs are used to ensure the reliability of the domain assignments. Gene3D imports functional information from sources such as UNIPROT, and KEGG. They also import experimental datasets on request to help researchers integrate there data with the corpus of the literature. The website allows users to view descriptions for both single proteins and genes and large protein sets, such as superfamilies or genomes. Subsets can then be selected for detailed investigation or associated functions and interactions can be used to expand explorations to new proteins. The Gene3D web services provide programmatic access to the CATH-Gene3D annotation resources and in-house software tools. These services include Gene3DScan for identifying structural domains within protein sequences, access to pre-calculated annotations for the major sequence databases, and linked functional annotation from UniProt, GO and KEGG., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | protein domain, protein, protein superfamily, hidden markov model, structural domain, genome, sequence, domain assignments, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University College London; London; United Kingdom |
NIH ; Wellcome Trust ; European Union FP6 ENFIN LSHG-CT-2003-503265; European Union FP6 ENFIN LSHG-CT-2004-512092; European Union FP6 ENFIN LSHG-CT-2005-518254; DOE DE-AC02-065CH11357 |
PMID:19906693 PMID:18032434 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02877, biotools:gene3d | https://bio.tools/gene3d | SCR_007672 | Gene3D - Structures assigned to Genomes | 2026-09-12 12:56:57 | 272 | ||||
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AmpliconNoise Resource Report Resource Website 50+ mentions |
AmpliconNoise (RRID:SCR_007814) | AmpliconNoise | software resource | A collection of programs for the removal of noise from 454 sequenced PCR amplicons. This project also includes the Perseus algorithm for chimera removal. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Google Code |
DOI:10.1186/1471-2105-12-38 | biotools:pyronoise, OMICS_01112 | https://bio.tools/pyronoise, https://sources.debian.org/src/anfo/ | SCR_007814 | 2026-09-12 12:56:57 | 91 | |||||||
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Gene Expression Atlas Resource Report Resource Website 100+ mentions |
Gene Expression Atlas (RRID:SCR_007989) | atlas, data or information resource, database, expression atlas | Gene Expression Atlas is a semantically enriched database of meta-analysis based summary statistics over a curated subset of ArrayExpress Archive, servicing queries for condition-specific gene expression patterns as well as broader exploratory searches for biologically interesting genes/samples. The EBI Gene Expression Atlas Blog discusses ideas, features and problems of creating a large scale meta-analytical atlas of gene expression from publicly available microarray data. Atlas REST API provides all the results available in the main web application in a pragmatic, easy to use form - simple HTTP GET queries as input and either JSON or XML formats as output. Gene Expression Atlas goals: 1. Provision of a statistically robust framework for integration of gene expression experiment results across different platforms at a meta-analytical level 2. A simple interface for identifying strong differential expression candidate genes in conditions of interest 3. Integration of ontologies for high quality annotation of gene and sample attributes 4. Construction of new gene expression summarized views, with a view to analysis of putative signaling pathway targets, discovery of correlated gene expression patterns and the identification of condition/tissue-specific patterns of gene expression. | expression, gene, annotation, assay, molecular neuroanatomy resource, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: ArrayExpress is related to: Experimental Factor Ontology has parent organization: European Bioinformatics Institute |
EMBL ; European Union FELICS ; European Union EMERALD |
nif-0000-06686, biotools:gxa_expt, r3d100010223, biotools:gene_expression_atlas | https://bio.tools/gxa_expt, https://bio.tools/gene_expression_atlas, https://doi.org/10.17616/R3Z888 | SCR_007989 | 2026-09-12 12:56:58 | 132 | ||||||||
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Variant Effect Predictor Resource Report Resource Website 1000+ mentions |
Variant Effect Predictor (RRID:SCR_007931) | VEP | analysis service resource, data analysis service, production service resource, service resource, software resource | Data analysis service to predict the functional consequences of known and unknown variants. | perl, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Ensembl |
biotools:ensembl_variant_effect_predictor | https://bio.tools/ensembl_variant_effect_predictor | SCR_007931 | Ve!P | 2026-09-12 12:56:58 | 2073 | |||||||
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eTBlast Resource Report Resource Website 1+ mentions |
eTBlast (RRID:SCR_008188) | eTBlast | data or information resource, database, narrative resource, service resource | eTBLAST is a unique search engine for searching biomedical literature. Our service is very different from PubMed. While PubMed searches for keywords, our search engine lets you input an entire paragraph and returns MEDLINE abstracts that are similar to it. This is something like PubMed''s Related Articles feature, only better because it runs on your unique set of interests. For example, input the abstract of an unpublished paper or a grant proposal into our engine, and with the touch of a button you''ll be able to find every abstract in MEDLINE dealing with your topic. No more guessing whether your set of keywords has found all the right papers. No more sorting through hundreds of papers you don''t care about to find the handful you were looking for--our search engine does it for you. When most people use PubMed to search MEDLINE they pick one or two keywords to describe their topic, then browse through a long list of results. When they find a paper that looks interesting they click on its Related Articles, in hopes of finding more papers like that one. If they find another relevant paper, they explore it''s related articles--and so on. This process of culling long lists of documents by hand makes literature searching tedious and time consuming. We make it easier for you by providing better results the first time, and then allowing you to automatically combine the papers you care about for a second round. Our Iterate feature allows you to checkmark the abstracts you found interesting in the first round and combine them all to create a new query. It''s like rolling several Related Articles lists into one. * We sort our results by relevance, while PubMed sorts by date. * We save you the time and effort of creating a complicated query. * We let you iterate your search over several good papers to narrow your focus. * We provide you the full MEDLINE abstract in our results, and a link to the PubMed page. * We can send your results straight to your email so you never lose a reference or forget where you found it. * This absolutely free service is provided by the University of Texas Southwestern Medical Center. No registration necessary! | biomedical, literature, medline interfaces, paper, publish, search engine, unpublished, journal, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Texas Southwestern Medical Center; Texas; USA has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
Hudson Foundation ; P.O'B. Montgomery Distinguished Chair |
PMID:16926219 | biotools:etblast, nif-0000-21148 | https://bio.tools/etblast | http://invention.swmed.edu/etblast/index.shtml | SCR_008188 | eTBLAST: a text-similarity based search engine | 2026-09-12 12:57:01 | 5 | ||||
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Network Analysis, Visualization and Graphing TORonto Resource Report Resource Website 50+ mentions |
Network Analysis, Visualization and Graphing TORonto (RRID:SCR_008373) | NAViGaTOR | d visualization software, data processing software, data visualization software, software application, software resource | A software package for visualizing and analyzing protein-protein interaction networks. NAViGaTOR can query OPHID / I2D - online databases of interaction data - and display networks in 2D or 3D. To improve scalability and performance, NAViGaTOR combines Java with OpenGL to provide a 2D/3D visualization system on multiple hardware platforms. NAViGaTOR also provides analytical capabilities and supports standard import and export formats such as GO and the Proteomics Standards Initiative (PSI). NAViGaTOR can be installed and run on Microsoft Windows, Linux / UNIX, and Mac OS systems. NAViGaTOR is written in Java and uses JOGL (Java bindings for OpenGL) to support scalability, highlighting or suppressing of information, and other advanced graphic approaches. | fly, algorithm, capacity, graphical, graphing, human, interaction, interactome, intersection, mouse, network, node, protein, proteomic, rat, worm, yeast, graphing application, 2d visualization, 3d visualization, visualization, biological network, protein-protein interaction, gene, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Genomics Institute ; Canada Research Chair Program ; Ontario Research Fund Research Excellence ; Canada Foundation for Innovation 12301; Canada Foundation for Innovation 203383 |
PMID:19837718 | Freely-downloadable for academic and not-for-profit institutions | nif-0000-25610, biotools:navigator | https://bio.tools/navigator | SCR_008373 | NAViGaTOR - Network Analysis Visualization and Graphing TORonto, NAViGaTOR - Network Analysis Visualization & Graphing TORonto | 2026-09-12 12:57:03 | 55 | ||||
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Vienna RNA Resource Report Resource Website 100+ mentions |
Vienna RNA (RRID:SCR_008550) | data or information resource, database, software resource | This server provides programs, web services, and databases, related to our work on RNA secondary structures. For general information and other offerings from our group see the main TBI web server. With the 1st of May 2009 we updated our servers to the Vienna RNA package version 1.8.2! The Vienna RNA Servers: * RNAfold server predicts minimum free energy structures and base pair probabilities from single RNA or DNA sequences. * RNAalifold server predicts consensus secondary structures from an alignment of several related RNA or DNA sequences. You need to upload an alignment. * RNAinverse server allows you to design RNA sequences for any desired target secondary structure. * RNAcofold server allows you to predict the secondary structure of a dimer. * RNAup server allows you to predict the accessibility of a target region. * LocARNA server generates structural alignments from a set of sequences. In collaboration with the Bioinformatics Group Freiburg. * barriers server allows you to get insights into RNA folding kinetics. * RNAz server will assist you in detecting thermodynamically stable and evolutionarily conserved RNA secondary structures in multiple sequence alignments. * Structure conservation analysis server will assist you in detecting evolutionarily conserved RNA secondary structures in multiple sequence alignments. * RNAstrand server allows you to predict the reading direction of evolutionarily conserved RNA secondary structures. * RNAxs server assists you in siRNA design. * Bcheck predicts rnpB genes Downloads Get the Source code for: * the Vienna RNA Package, our basic RNA secondary structure analysis software. * The ALIDOT package for finding conserved structure motifs (add-on) * The barriers program for analysis of RNA folding landscapes. Databases * Atlas of conserved Viral RNA Structures found by ALIDOT | bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: ANNOgesic has parent organization: University of Vienna; Vienna; Austria |
DOI:10.1186/1748-7188-6-26 | biotools:vienna_rna_package, nif-0000-31411, OMICS_09351 | https://bio.tools/vienna_rna_package, https://sources.debian.org/src/vienna-rna/ | SCR_008550 | Vienna RNA | 2026-09-12 12:57:05 | 425 | |||||||
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MouseBook Resource Report Resource Website 10+ mentions |
MouseBook (RRID:SCR_006358) | MouseBook | biomaterial supply resource, material resource, organism supplier | Databases and portal to data and ordering mouse strains from MRC Harwell including mouse stocks in FESA (Frozen Embryo and Sperm Archive), mutants from the mutagenesis screen, the ENU DNA archive, standardized phenotyping procedures, imprinting genes and chromosome anomalies. The portal integrates curated information from the MRC Harwell stock resource, and other Harwell databases, with information from external data resources to provide added value information above and beyond what is available through other routes such as IMSR (International Mouse Stain Resource). MouseBook can be searched either using an intuitive Google-style free text search or using the Mammalian Phenotype Ontology (MP) tree structure. Text searches can be on gene, allele, strain identifier (e.g. MGI ID) or phenotype term and are assisted by automatic recognition of term types and autocompletion of gene and allele names covered by the database. Results are returned in a tabbed format providing categorized results identified from each of the catalogs in MouseBook. Individual results lines from each catalog include information on gene, allele, chromosomal location and phenotype and provide a simple click-through link to further information as well as ordering the strain. The infrastructure underlying MouseBook has been designed to be extensible, allowing additional data sources to be added enabling other sites to make their data directly available through MouseBook. | mutant mouse strain, gene, allele, phenotype, embryonic mouse, embryo, sperm, live, chromosomal location, mutant mouse line, imprint, standard operating procedure, bio.tools |
is listed by: One Mind Biospecimen Bank Listing is listed by: Debian is listed by: bio.tools is related to: MPO |
Motor neuron disease, Chromosomal anomaly | MRC | PMID:19854936 | Public | nlx_152127, biotools:mousebook | https://bio.tools/mousebook | SCR_006358 | Mouse Book | 2026-09-12 12:56:38 | 18 | |||
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IRanges Resource Report Resource Website 50+ mentions |
IRanges (RRID:SCR_006420) | IRanges | software resource | Software tool for computing and annotating genomic ranges.Provides efficient low-level and highly reusable S4 classes for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more generally, data that can be organized sequentially (formally defined as Vector objects), as well as views on these Vector objects. Efficient list-like classes are also provided for storing big collections of instances of the basic classes. All classes in the package use consistent naming and share the same rich and consistent Vector API as much as possible. | Annotating genomic ranges, computing genomic ranges, genomic ranges, storing ranges of integers, bio.tools |
is used by: riboWaltz is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:23950696 | Free, Available for download, Freely available | OMICS_01163, biotools:iranges | https://bio.tools/iranges | SCR_006420 | Infrastructure for manipulating intervals on sequences | 2026-09-12 12:56:39 | 88 | |||||
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VICUNA Resource Report Resource Website 10+ mentions |
VICUNA (RRID:SCR_006302) | VICUNA | software resource | A de novo assembly program targeting populations with high mutation rates. | c++, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Broad Institute |
PMID:22974120 | biotools:vicuna, OMICS_02162 | https://bio.tools/vicuna | SCR_006302 | 2026-09-12 12:56:37 | 26 | |||||||
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MSIsensor Resource Report Resource Website 100+ mentions |
MSIsensor (RRID:SCR_006418) | MSIsensor | software resource | A C++ software program for automatically detecting somatic and germline variants at microsatellite regions. It computes length distributions of microsatellites per site in paired tumor and normal sequence data, subsequently using these to statistically compare observed distributions in both samples. | c++, somatic variant, germline variant, microsatellite, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Tumor, Normal | PMID:24371154 | Copyrighted, See LICENSE | biotools:msisensor, OMICS_02192 | https://bio.tools/msisensor | SCR_006418 | 2026-09-12 12:56:39 | 168 |
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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.
