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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Online Resource for Community Annotation of Eukaryotes Resource Report Resource Website 10+ mentions |
Online Resource for Community Annotation of Eukaryotes (RRID:SCR_014989) | OrcAE, ORCAE | narrative resource, data or information resource, wiki | Online genome annotation tool for validating and correcting gene annotations. OrcAE is community-driven and can be edited by account-holders in the research community. | genome annotation, gene validation, community driven, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Bioinformatics Gent has parent organization: Ghent University; Ghent; Belgium has parent organization: VIB; Flanders; Belgium |
PMID:23132114 | Free, Account required, The research community can contribute to this resource | biotools:orcae | https://bio.tools/orcae | SCR_014989 | Online Resource for Community Annotation of Eukaryotes (OrcAE) | 2026-02-14 02:02:45 | 16 | |||||
|
SeaView Resource Report Resource Website 1000+ mentions |
SeaView (RRID:SCR_015059) | sequence analysis software, data visualization software, data processing software, data analysis software, software application, software resource | Graphical user interface for multiple sequence alignment and molecular phylogeny. SeaView also generates phylogenetic trees. | sequence alignment, molecular phylogeny, phylogenetic tree, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: OMICtools |
PMID:19854763 DOI:10.1093/molbev/msp259 |
Free, Available for download | OMICS_08908, biotools:seaview | https://bio.tools/seaview https://sources.debian.org/src/seaview/ |
SCR_015059 | 2026-02-14 02:03:01 | 1777 | |||||||
|
MeroX Resource Report Resource Website 50+ mentions |
MeroX (RRID:SCR_014956) | sequence analysis software, data processing software, data analysis software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Software tool for the analysis of cross-linking/mass spectrometry datasets using MS-cleavable cross-linkers. MeroX is specialized for MS/MS-cleavable cross linking reagents and identifies the specific fragmentation products of the cleavable cross links. | sequence analysis software, cross linking, mass spectrometry, MS cleavage, fragmentation, cleavable cross link, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: StavroX |
PMID:25261217 | THIS RESOURCE IS NO LONGER IN SERVICE | BioTools:MeroX, biotools:MeroX | https://bio.tools/MeroX https://bio.tools/MeroX https://bio.tools/MeroX |
SCR_014956 | 2026-02-14 02:02:45 | 74 | |||||||
|
BUSCO Resource Report Resource Website 5000+ mentions |
BUSCO (RRID:SCR_015008) | data processing software, data analysis software, software application, software resource, algorithm resource | Software tool to quantitatively measure genome assembly and annotation completeness based on evolutionarily informed expectations of gene content. | genome assembly, annotation completeness, quantitative method, bio.tools |
is used by: rnaQUAST is recommended by: CEGMA is listed by: Debian is listed by: bio.tools is related to: CEGMA works with: BUSCOMP |
Swiss National Science Foundation ; Marie Curie International Outgoing Fellowship |
DOI:10.1093/bioinformatics/btv351 | Free, Available for download, Freely available | biotools:busco | https://gitlab.com/ezlab/busco https://bio.tools/busco https://sources.debian.org/src/busco/ |
SCR_015008 | BUSCO v2, Benchmarking Universal Single-Copy Orthologs (BUSCO), Benchmarking Universal Single-Copy Orthologs, BUSCO v1 | 2026-02-14 02:03:04 | 7284 | |||||
|
GIIRA Resource Report Resource Website 1+ mentions |
GIIRA (RRID:SCR_015507) | sequence analysis software, data processing software, data analysis software, software application, software resource | Gene prediction method that identifies potential coding regions based on the mapping of reads from an RNA-Seq experiment. | gene prediction, rna seq, coding region, potential coding region |
is listed by: Debian is listed by: OMICtools |
DOI:10.1093/bioinformatics/btt577 | Available for download | OMICS_07360 | http://www.rki.de/EN/Content/Institute/DepartmentsUnits/JuniorGroups/JRG4.html https://sources.debian.org/src/giira/ |
SCR_015507 | 2026-02-14 02:03:06 | 3 | |||||||
|
FunCluster Resource Report Resource Website 1+ mentions |
FunCluster (RRID:SCR_005774) | FunCluster | data analysis software, software resource, data processing software, software application | FunCluster is a genomic data analysis algorithm which performs functional analysis of gene expression data obtained from cDNA microarray experiments. Besides automated functional annotation of gene expression data, FunCluster functional analysis aims to detect co-regulated biological processes through a specially designed clustering procedure involving biological annotations and gene expression data. FunCluster''''s functional analysis relies on Gene Ontology and KEGG annotations and is currently available for three organisms: Homo Sapiens, Mus Musculus and Saccharomyces Cerevisiae. FunCluster is provided as a standalone R package, which can be run on any operating system for which an R environment implementation is available (Windows, Mac OS, various flavors of Linux and Unix). Download it from the FunCluster website, or from the worldwide mirrors of CRAN. FunCluster is provided freely under the GNU General Public License 2.0. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | genomic, gene, functional analysis, gene expression, cdna microarray, cdna, microarray, function, cluster, annotation, biological process, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Cordelier Research Center |
PMID:17007070 PMID:16506959 PMID:16046292 |
Free for academic use, GNU General Public License, v2 | nlx_149242, biotools:funcluster | https://bio.tools/funcluster | SCR_005774 | FunCluster R Package, FunCluster Algorithm | 2026-02-14 02:00:58 | 2 | |||||
|
InterProScan Resource Report Resource Website 5000+ mentions |
InterProScan (RRID:SCR_005829) | web service, data processing software, data analysis service, analysis service resource, data analysis software, production service resource, service resource, software application, data access protocol, software resource | Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service. | functional, analysis, sequence, protein, nucleotide, predict, presence, domain, site, proteome, genome, metagenome, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: RARTF is related to: InterPro is related to: LegumeIP is related to: UniProtKB has parent organization: European Bioinformatics Institute |
European Union ; Biotechnology and Biological Sciences Research Council ; EMBL |
PMID:15980438 PMID:17202162 PMID:24451626 |
Free, Available for download, Freely available | OMICS_01479, biotools:interproscan_4, nlx_149337 | https://www.ebi.ac.uk/interpro/download.html https://bio.tools/interproscan_4 |
SCR_005829 | InterProScan Sequence Search, InterProScan 2, InterProScan 3, InterProScan 4, InterProScan 5 | 2026-02-14 02:01:11 | 6936 | |||||
|
ToppGene Suite Resource Report Resource Website 1000+ mentions |
ToppGene Suite (RRID:SCR_005726) | data analysis service, portal, analysis service resource, resource, data or information resource, production service resource, service resource, database | ToppGene Suite is a one-stop portal for gene list enrichment analysis and candidate gene prioritization based on functional annotations and protein interactions network. ToppGene Suite is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis. | gene portal, enrichment analysis, functional annotation, gene prioritization, protein interaction, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: NIDDK Information Network (dkNET) is listed by: GUDMAP Ontology is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: ToppCluster |
State of Ohio Computational Medicine Center ODD TECH 04-042; NIDDK 1U01DK70219; NIDDK P30DK078392 |
PMID:19465376 | Free for academic use | nlx_149183, biotools:toppgene_suite | https://bio.tools/toppgene_suite | SCR_005726 | ToppGene | 2026-02-14 02:01:10 | 1030 | |||||
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ccPDB - Compilation and Creation of datasets from PDB Resource Report Resource Website 1+ mentions |
ccPDB - Compilation and Creation of datasets from PDB (RRID:SCR_005870) | ccPDB | web service, data or information resource, data access protocol, software resource, database | ccPDB (Compilation and Creation of datasets from PDB) is designed to provide service to scientific community working in the field of function or structure annoation of proteins. This database of datasets is based on Protein Data Bank (PDB), where all datasets were derived from PDB. ccPDB have four modules; i) compilation of datasets, ii) creation of datasets, iii) web services and iv) Important links. * Compilation of Datasets: Datasets at ccPDB can be classified in two categories, i) datasets collected from literature and ii) datasets compiled from PDB. We are in process of collecting PDB datasetsfrom literature and maintaining at ccPDB. We are also requesting community to suggest datasets. In addition, we generate datasets from PDB, these datasets were generated using commonly used standard protocols like non-redundant chains, structures solved at high resolution. * Creation of datasets: This module developed for creating customized datasets where user can create a dataset using his/her conditions from PDB. This module will be useful for those users who wish to create a new dataset as per ones requirement. This module have six steps, which are described in help page. * Web Services: We integrated following web services in ccPDB; i) Analyze of PDB ID service allows user to submit their PDB on around 40 servers from single point, ii) BLAST search allows user to perform BLAST search of their protein against PDB, iii) Structural information service is designed for annotating a protein structure from PDB ID, iv) Search in PDB facilitate user in searching structures in PDB, v)Generate patterns service facility to generate different types of patterns required for machine learning techniques and vi) Download useful information allows user to download various types of information for a given set of proteins (PDB IDs). * Important Links: One of major objectives of this web site is to provide links to web servers related to functional annotation of proteins. In first phase we have collected and compiled these links in different categories. In future attempt will be made to collect as many links as possible. | secondary structure, nucleic acid interaction, ligand interaction, structure, nucleic acid, interaction, ligand, data set, function, protein, annotate, tight-turn, nucleotide interacting residue, metals interacting residue, dna/rna binding residue, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Institute of Microbial Technology; Chandigarh; India |
OSDD ; DBT ; Council of Scientific and Industrial Research; New Delhi; India |
PMID:22139939 | biotools:ccpdb, nlx_149416 | https://bio.tools/ccpdb | SCR_005870 | Compilation and Creation of datasets from PDB, ccPDB - Compilation Creation of datasets from PDB | 2026-02-14 02:01:01 | 2 | |||||
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UTRdb/UTRsite Resource Report Resource Website 10+ mentions |
UTRdb/UTRsite (RRID:SCR_005868) | data or information resource, portal, topical portal | UTRdb/UTRsite is a portal to other databases, including Nucleotide Sequence Databases, Protein Sequence Databases, other Sequence databanks, Untranslated Nucleotide Sequence Databases, Mitochondrial Databases, Mutation Databases, and others. The site also allows users to start long-term permanent projects or just to do quick searches, depending on the user''s needs. | bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian |
biotools:utrdb, nif-0000-03619 | https://bio.tools/utrdb | http://bighost.area.ba.cnr.it/srs6/ | SCR_005868 | UTRdb/UTRsite | 2026-02-14 02:00:59 | 40 | |||||||
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ESTScan Resource Report Resource Website 100+ mentions |
ESTScan (RRID:SCR_005742) | ESTScan | data analysis software, software resource, data processing software, software application | ESTScan is a program that can detect coding regions in DNA sequences, even if they are of low quality. ESTScan will also detect and correct sequencing errors that lead to frameshifts. ESTScan is not a gene prediction program , nor is it an open reading frame detector. In fact, its strength lies in the fact that it does not require an open reading frame to detect a coding region. As a result, the program may miss a few translated amino acids at either the N or the C terminus, but will detect coding regions with high selectivity and sensitivity. ESTScan takes advantages of the bias in hexanucleotide usage found in coding regions relative to non-coding regions. This bias is formalized as an inhomogeneous 3-periodic fifth-order Hidden Markov Model (HMM). Additionally, the HMM of ESTScan has been extended to allows insertions and deletions when these improve the coding region statistics. | dna, dna sequence, coding region, perl module, c, btlib perl module |
is listed by: Debian is listed by: OMICtools has parent organization: SourceForge |
PMID:10786296 | OMICS_08423, nlx_149202 | https://sources.debian.org/src/estscan/ | SCR_005742 | ESTScan project | 2026-02-14 02:01:09 | 289 | ||||||
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DiseaseMeth Resource Report Resource Website 10+ mentions |
DiseaseMeth (RRID:SCR_005942) | data repository, storage service resource, data or information resource, service resource, database | Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases. | disease, methylation, dna methylation, genome, gene, epigenetics, epigenomics, methylome, bio.tools |
is listed by: 3DVC is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Harbin Medical University; Heilongjiang; China |
National Natural Science Foundation of China ; Natural Science Foundation of Heilongjiang Province ; State Key Laboratory of Urban Water Resource and Environment ; Scientific Research Fund of Heilongjiang Provincial Education Department |
PMID:22135302 PMID:27899673 |
Free,Freely available | OMICS_01838, nlx_151289, biotools:diseasemeth, SCR_017488 | http://bioinfo.hrbmu.edu.cn/diseasemeth https://bio.tools/diseasemeth |
http://202.97.205.78/diseasemeth/ | SCR_005942 | , Disease Meth-The Human Disease Methylation Database, DiseaseMeth database, DiseaseMeth version 2.0 | 2026-02-14 02:01:12 | 34 | ||||
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DistiLD - Diseases and Traits in LD Resource Report Resource Website 1+ mentions |
DistiLD - Diseases and Traits in LD (RRID:SCR_005943) | DistiLD | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context. The database performs three important tasks: # published GWAS are collected from several sources and linked to standardized, international disease codes ICD10 codes) # data from the International HapMap Project are analyzed to define linkage disequilibrium (LD) blocks onto which SNPs and genes are mapped # the web interface makes it easy to query and visualize disease-associated SNPs and genes within LD blocks. Users can query the database by diseases, SNPs or genes. No matter which of the three query modes was used, an intermediate page will be shown listing all the studies that matched the search with a link to the corresponding publication. The user can select either all studies related to a certain disease or one specific study for which to view the related LD blocks. The DistiLD resource integrates information on: * Associations between Single Nucleotide Polymorphisms (SNPs) and diseases from genome-wide association studies (GWAS) * Links between SNPs and genes based on linkage disequilibrium (LD) data from HapMap For convenience, we provide the complete datasets as two (zipped) tab-delimited files. The first file contains GWAS results mapped to LD blocks. The second file contains all SNPs and genes assigned to each LD block. | disease, mutation, gene, linkage disequilibrium, trait, genome-wide association study, single nucleotide polymorphism, chromosomal region, chromosome, linkage disequilibrium block, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: International HapMap Project has parent organization: University of Copenhagen; Copenhagen; Denmark |
Novo Nordisk Foundation Center for Protein Research | PMID:22058129 | Files are published under the Creative Commons Attribution v3 License | biotools:distild, nlx_151291 | https://bio.tools/distild | SCR_005943 | DistiLD - Diseases & Traits in LD, Diseases and Traits In Linkage Disequilibrium blocks, Diseases and Traits In Linkage Disequilibrium, DistiLD Database, DistiLD - Diseases Traits in LD | 2026-02-14 02:01:00 | 5 | ||||
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Newtomics Resource Report Resource Website 1+ mentions |
Newtomics (RRID:SCR_006073) | Newt-Omics | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Newt-omics is a database, which enables researchers to locate, retrieve and store data sets dedicated to the molecular characterization of newts. Newt-omics is a transcript-centered database, based on an Expressed Sequence Tag (EST) data set from the newt, covering ~50,000 Sanger sequenced transcripts and a set of high-density microarray data, generated from regenerating hearts. Newt-omics also contains a large set of peptides identified by mass spectrometry, which was used to validate 13,810 ESTs as true protein coding. Newt-omics is open to implement additional high-throughput data sets without changing the database structure. Via a user-friendly interface Newt-omics allows access to a huge set of molecular data without the need for prior bioinformatical expertise. The newt Notopthalmus viridescens is the master of regeneration. This organism is known for more than 200 years for its exceptional regenerative capabilities. Newts can completely replace lost appendages like limb and tail, lens and retina and parts of the central nervous system. Moreover, after cardiac injury newts can rebuild the functional myocardium with no scar formation. To date only very limited information from public databases is available. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publicly available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt, that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians. * Number of contigs: 26594 * Number of est in contigs: 48537 * Number of transcripts with verified peptide: 5291 * Number of peptides: 15169 | gene expression, regeneration, annotation, expression data, peptide sequence, gene sequence, tissue regeneration, newt, pathway, mammal, blast, contigs, peptide, tissue, microarray, heart, lens, dorsal, ventral, transcript, functional annotation, molecular process, model organism, expressed sequence tag, sequence, mass spectrometry, protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Max Planck Institute for Heart and Lung Research; Bad Nauheim; Germany |
Hessian Ministry for Science and Art | PMID:22039101 | To be used only for research and educational purposes. Any reproduction or use for commercial purpose is prohibited without the prior express written permission of the MPI for heart and lung research. | nlx_151479, biotools:newt-omics | https://bio.tools/newt-omics | SCR_006073 | newt db, Newt database | 2026-02-14 02:01:13 | 1 | ||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-02-14 02:01:04 | 25 | ||||
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HFV Database Resource Report Resource Website 1+ mentions |
HFV Database (RRID:SCR_006017) | HFV Database | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | The Hemorrhagic Fever Viruses (HFV) sequence database collects and stores sequence data and provides a user-friendly search interface and a large number of sequence analysis tools, following the model of the highly regarded and widely used Los Alamos HIV database. The database uses an algorithm that aligns each sequence to a species-wide reference sequence. The NCBI RefSeq database is used for this; if a reference sequence is not available, a Blast search finds the best candidate. Using this method, sequences in each genus can be retrieved pre-aligned. Hemorrhagic fever viruses (HFVs) are a diverse set of over 80 viral species, found in 10 different genera comprising five different families: arena-, bunya-, flavi-, filo- and togaviridae. All these viruses are highly variable and evolve rapidly, making them elusive targets for the immune system and for vaccine and drug design. About 55,000 HFV sequences exist in the public domain today. A central website that provides annotated sequences and analysis tools will be helpful to HFV researchers worldwide. | gene, hemorrhagic fever virus, biothreat, virus, sequence, nucleotide sequence, reference sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: RefSeq has parent organization: HIV Databases |
United States Department of Defense contract HDTRA B084498I | PMID:22064861 | biotools:hfv, nlx_151408 | https://bio.tools/hfv | SCR_006017 | HFV Sequence Database, Hemorrhagic Fever Viruses Database, Hemorrhagic Fever Viruses (HFV) Database, LANL hemorrhagic fever virus database, Hemorrhagic Fever Viruses (HFV) Database Project | 2026-02-14 02:01:13 | 1 | |||||
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BLESS Resource Report Resource Website 10+ mentions |
BLESS (RRID:SCR_005963) | BLESS | sequence analysis software, data processing software, data analysis software, software application, software resource, algorithm resource | Software tool for Bloom-filter-based error correction for next-generation sequencing (NGS) reads. The algorithm produces accurate correction results with much less memory. | c++, next-generation sequencing, bloom-filter, error correction, ngs, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: SourceForge |
PMID:24451628 | GNU General Public License v3 | OMICS_02246, biotools:bless | https://bio.tools/bless | SCR_005963 | BLoom-filter-based Error correction Solution for high-throughput Sequencing reads, BLESS - Bloom-filter-based Error Correction Tool for NGS reads | 2026-02-14 02:01:03 | 45 | |||||
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GWASdb Resource Report Resource Website 10+ mentions |
GWASdb (RRID:SCR_006015) | GWASdb | web service, data or information resource, data access protocol, software resource, database | Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3) | genetic variant, genome-wide association study, functional annotation, disease classification, snp, gene, chromosome region, annotation, pathway, protein-protein interaction, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: GWASrap is related to: Human Phenotype Ontology is related to: IKMB GWAS Association Testing Pipeline is related to: GWAS Quality Control Pipeline is related to: Human Disease Ontology |
University of Hong Kong Small Project Fund 201007176262; Research Grants Council of Hong Kong 781511M; Research Grants Council of Hong Kong 778609M; Research Grants Council of Hong Kong N_HKU752/10; Food and Health Bureau of Hong Kong 10091262; NCI |
PMID:22139925 | biotools:gwasdb, nlx_151404 | https://bio.tools/gwasdb | SCR_006015 | 2026-02-14 02:01:12 | 43 | ||||||
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eQuilibrator Resource Report Resource Website 100+ mentions |
eQuilibrator (RRID:SCR_006011) | software resource, database, data or information resource, web application | Web interface designed for thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions. It can provide estimates for compounds in the KEGG database, and individual compounds and enzymes can be searched for by their common names (water, glucosamine, hexokinase). Reactions can be entered in a free-text format that eQuilibrator parses automatically. eQuilibrator also allows manipulation of the conditions of a reaction - pH, ionic strength, and reactant and product concentrations. | web interface, thermodynamics, biochemical system, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: KEGG |
Azrieli Foundation ; Israel Academy of Sciences and Humanities ; European Research Council 260392 - SYMPAC |
PMID:22064852 | Open source | nlx_151400, biotools:equilibrator | https://bio.tools/equilibrator | SCR_006011 | eQuilibrator - biochemical thermodynamics calculator | 2026-02-14 02:01:03 | 101 | |||||
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OMPdb Resource Report Resource Website |
OMPdb (RRID:SCR_006221) | OMPdb | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | A database of Beta-barrel outer membrane proteins from Gram-negative bacteria. The web interface of OMPdb offers the user the ability not only to view the available data, but also to submit advanced queries for text search within the database''s protein entries or run BLAST searches against the database. The most up-to-date version of the database (as well as all past versions) can be downloaded in various formats (flat text, XML format or raw FASTA sequences). For constructing OMPdb, multiple freely accessible resources were combined and a detailed literature search was performed. The classification of OMPdb''s protein entries into families is based mainly on structural and functional criteria. Information included in the database consists of sequence data, as well as annotation for structural characteristics (such as the transmembrane segments), literature references and links to other public databases, features that are unique worldwide. Along with the database, a collection of profile Hidden Markov Models that were shown to be characteristic for Beta-barrel outer membrane proteins was also compiled. This set, when used in combination with our previously developed algorithms (PRED-TMBB, MCMBB and ConBBPRED) will serve as a powerful tool in matters of discrimination and classification of novel Beta-barrel proteins and whole-genome analyses., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | beta-barrel, outer membrane protein, gram-negative bacteria, protein, protein sequence, transmembrane, annotation, genome-wide analyses, comparative genomics, sequence, structure, blast, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
PMID:20952406 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01611, biotools:ompdb, nlx_151768 | https://bio.tools/ompdb | SCR_006221 | OMPdb - A database of Beta-barrel outer membrane proteins from Gram-negative bacteria | 2026-02-14 02:01:14 | 0 |
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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.
