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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | 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 | 2026-09-03 04:48:22 | 5 | ||||
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Newtomics Resource Report Resource Website 1+ mentions |
Newtomics (RRID:SCR_006073) | Newt-Omics | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | 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 | 2026-09-03 04:48:30 | 1 | ||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | 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 | 2026-09-03 04:48:24 | 25 | ||||
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HFV Database Resource Report Resource Website 1+ mentions |
HFV Database (RRID:SCR_006017) | HFV Database | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | 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 | 2026-09-03 04:48:28 | 1 | |||||
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BLESS Resource Report Resource Website 10+ mentions |
BLESS (RRID:SCR_005963) | BLESS | algorithm resource, data analysis software, data processing software, sequence analysis software, software application, software 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 | 2026-09-03 04:48:21 | 46 | |||||
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GWASdb Resource Report Resource Website 10+ mentions |
GWASdb (RRID:SCR_006015) | GWASdb | data access protocol, data or information resource, database, software resource, web service | 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 | 2026-09-03 04:48:13 | 43 | ||||||
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eQuilibrator Resource Report Resource Website 100+ mentions |
eQuilibrator (RRID:SCR_006011) | data or information resource, database, software 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 | 2026-09-03 04:48:15 | 118 | |||||
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OMPdb Resource Report Resource Website |
OMPdb (RRID:SCR_006221) | OMPdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | 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 | 2026-09-03 04:48:20 | 0 | |||||
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deepSNV Resource Report Resource Website 10+ mentions |
deepSNV (RRID:SCR_006214) | deepSNV | software resource | Software package that provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs (single nucleotide variants). | data import, genetic variability, genetics, snp, sequencing, single nucleotide variant, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:24443148 | GNU General Public License, v3 | OMICS_02239, biotools:deepsnv | https://bio.tools/deepsnv | SCR_006214 | deepSNV - Detection of subclonal SNVs in deep sequencing experiments | 2026-09-03 04:48:22 | 34 | |||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | data processing software, software application, software resource, source code | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | PHYLogeny Inference Package | 2026-09-03 04:48:29 | 3544 | |||||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | 2026-09-03 04:48:27 | 19 | |||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-09-03 04:48:32 | 1 | ||||
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Predictive Networks Resource Report Resource Website |
Predictive Networks (RRID:SCR_006110) | PN | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource, source code | A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model. | gene interaction network, gene, interaction, gene expression, graph, visualization, gene interaction, gene network, predictive network analysis, model, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: SourceForge |
NLM 1R01LM010129 | PMID:22096235 | Apache License, v2 | nlx_151582, biotools:predictivenetworks | https://bio.tools/predictivenetworks | SCR_006110 | 2026-09-03 04:48:48 | 0 | |||||
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Computerized Anatomical Reconstruction and Editing Toolkit Resource Report Resource Website 50+ mentions |
Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) | CARET | data processing software, data visualization software, image processing software, software application, software resource | Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems. | reconstruction, visualization, cerebral cortex, surface, brain, dataset, cerebellar cortex, atlas application, mesh generation, quantitative shape analysis, segmentation, shape analysis, intersubject, image-to-template, gaussian curvature, mean curvature, animation, three dimensional display, two dimensional display, surface rendering, cortical flat map, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: SumsDB has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NEI EY02091; NIMH R01 MH60974 |
PMID:11522765 | Free, Available for download, Freely available | nif-0000-00279 | http://www.nitrc.org/projects/caret, https://sources.debian.org/src/caret/ | SCR_006260 | Computerized Anatomical Reconstruction Editing Toolkit | 2026-09-03 04:48:31 | 59 | ||||
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SpliceDisease Resource Report Resource Website 1+ mentions |
SpliceDisease (RRID:SCR_006130) | SpliceDisease | data or information resource, data repository, database, service resource, storage service resource | Curated database of experimentally supported data of RNA Splicing mutation and disease. The RNA Splicing mutations include cis-acting mutations that disrupt splicing and trans-acting mutations that affecting RNA-dependent functions that cause disease. Information such as EntrezGeneID, gene genomic sequence, mutation (nucleotide substitutions, deletions and insertions), mutation location within the gene, organism, detailed description of the splicing mutation and references are also given. Users are able to submit new entries to the database. This database integrating RNA splicing and disease associations would be helpful for understanding not only the RNA splicing but also its contribution to disease. In SpliceDisease database, they manually curated 2337 splicing mutation disease entries involving 303 genes and 370 diseases, which have been supported experimentally in 898 publications. The SpliceDisease database provides information including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference PubMed ID and detailed description for the relationship among gene mutations, splicing defects and diseases. They standardized the names of the diseases and genes and provided links for these genes to NCBI and UCSC genome browser for further annotation and genomic sequences. For the location of the mutation, they give direct links of the entry to the respective position/region in the genome browser. | rna splicing, mutation, disease, gene, genomic sequence, nucleotide substitution, deletion, insertion, mutation location, splicing mutation, nucleotide, disease association, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Peking University; Beijing; China |
National Natural Science Foundation of China 81001481 | PMID:22139928 | The community can contribute to this resource | biotools:splicedisease_db, nlx_151614 | https://bio.tools/splicedisease_db | SCR_006130 | Splice Disease, SpliceDisease Database Site, Splice Disease Database, SpliceDisease Database | 2026-09-03 04:48:27 | 2 | ||||
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Gene Index Project Resource Report Resource Website 100+ mentions |
Gene Index Project (RRID:SCR_002148) | TGI, DFCI TGI | data or information resource, database, portal, software resource, topical portal | 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.The goal of The Gene Index Project is to use the available Expressed Sequence Transcript (EST) and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products. The promise of genome projects has been a complete catalog of genes in a wide range of organisms. While genome projects have been successful in providing reference genome sequences, the problem of finding genes and their variants in genomic sequence remains an ongoing challenge. TGI has created an inventory that contains genes and their variants together with description. In addition, this resource is attempting to use these catalogs to find links between genes and pathways in different species and to provide lists of features within completed genomes that can aid in the understanding of how gene expression is regulated. DATABASES *Eukaryotic Gene Orthologues (formerly known as TOGA - TIGR Orthologous Gene Alignment): Eukaryotic Gene Orthologues (EGO) at DFGI are generated by pair-wise comparison between the Tentative Consensus (TC) sequences that comprise the Dana Farber Gene Indices from individual organisms. The reciprocal pairs of the best match were clustered into individual groups and multiple sequence alignments were displayed for each group. *GeneChip Oncology Database (GCOD):Cancer gene expression database is a collection of publicly available microarray expression data on Affymetrix GeneChip Arrays related to human cancers. Currently only datasets with available raw data (Affymetrix .CEL files) are processed. All processed datasets were subjected to extensive manual curation, uniform processing and consistent quality control. You can browse the experiments in our collection, perform statistical analysis, and download processed data; or to search gene expression profiles using Entrez gene symbol, Unigene ID, or Affymetrix probeset ID. *Gene Indices: As of July 1, 2008, there are 111 publicly available gene indices. They are separated into 4 categories for better organization and easier access. Animal: 41, Plant: 45, Protist: 15, Fungal: 10 *Genomic Maps: Human, mouse, rat, chicken, drosophila melanogaster, zebrafish, mosquito, caenorhabditis elegans, Arabidopsis thaliana, rice, yeast, fission yeast Dana-Farber Cancer Institute (DFCI) Gene Indices Software Tools: *TGI Clustering tools (TGICL): a software system for fast clustering of large EST datasets. *GICL: this package contains the scripts and all the necessary pre-compiled binaries for 32bit Linux systems. *clview: an assembly file viewer. *SeqClean:a script for automated trimming and validation of ESTs or other DNA sequences by screening for various contaminants, low quality and low-complexity sequences. *cdbfasta/cdbyank: fast indexing/retrieval of fasta records from flat file databases. *DAS/XML Genomic Viewer The Genomic viewer borrows modules from http://www.biodas.org (lstein (at) cshl.org) & http://webreference.com. | functional, gene, genome, index, organism, pathway, product, role, sequence, species, transcript, variant, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Dana-Farber Cancer Institute |
DOE DBI-0552416 | PMID:7566098 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:tigr_gene_indices, nif-0000-20942 | https://bio.tools/tigr_gene_indices | SCR_002148 | DFCI Gene Index Project, Gene Index Project, DFCI | 2026-09-03 04:45:14 | 129 | ||||
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VoxBo Resource Report Resource Website 10+ mentions |
VoxBo (RRID:SCR_002166) | VoxBo | data processing software, image analysis software, image processing software, software application, software resource | Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more. | fmri, neuroimaging, brain, functional, statistical, volume, preprocessing, analysis, display, format conversion, linear, three dimensional display, workflow, lesion, analyze, c++, console (text based), dicom, image display, linux, macos, microsoft, magnetic resonance, nifti, no input/output (daemon), overlap metrics, posix/unix-like, quantification, regression, resampling, sinc function interpolation, spatial transformation, statistical operation, visualization, windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian has parent organization: neurodebian |
NIDA R01DA014418; NIMH R01MH073529 |
PMID:22348882 | Free, Available for download, Freely available | nif-0000-00353 | https://sources.debian.org/src/voxbo/, https://github.com/kimberg/voxbo | http://www.voxbo.org/ | SCR_002166 | 2026-09-03 04:45:18 | 13 | ||||
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Fiji Resource Report Resource Website 10000+ mentions |
Fiji (RRID:SCR_002285) | Fiji | data processing software, image processing software, software application, software resource, source code | Software package as distribution of ImageJ and ImageJ2 together with Java, Java3D and plugins organized into coherent menu structure. Used to assist research in life sciences. | imaging, microscopy, windows, linux, java, mac osx, bio.tools |
uses: Fiji/ImageJ is used by: MuscleJ is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: ImageJ is related to: SynapseLocator is related to: Golddigger is related to: Analyze Spheroid Cell Invasion In 3D Matrix has parent organization: Max Planck Institute of Molecular Cell Biology and Genetics; Dresden; Germany has plug in: BioVoxxel Toolbox has plug in: imctools has plug in: Big Data Processor has plug in: Sholl Analysis has plug in: SAIBR has plug in: TWOMBLI |
PMID:22743772 | Free, Available for download, Freely available, Acknowledgement requested | SciRes_000137, biotools:Fiji | https://github.com/fiji/fiji, https://bio.tools/Fiji | SCR_002285 | Fiji is just ImageJ | 2026-09-03 04:45:24 | 40972 | |||||
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Pathway Commons Resource Report Resource Website 10+ mentions |
Pathway Commons (RRID:SCR_002103) | PC | data access protocol, data or information resource, database, software resource, web service | Database of publicly available pathways from multiple organisms and multiple sources represented in a common language. Pathways include biochemical reactions, complex assembly, transport and catalysis events, and physical interactions involving proteins, DNA, RNA, small molecules and complexes. Pathways were downloaded directly from source databases. Each source pathway database has been created differently, some by manual extraction of pathway information from the literature and some by computational prediction. Pathway Commons provides a filtering mechanism to allow the user to view only chosen subsets of information, such as only the manually curated subset. The quality of Pathway Commons pathways is dependent on the quality of the pathways from source databases. Pathway Commons aims to collect and integrate all public pathway data available in standard formats. It currently contains data from nine databases with over 1,668 pathways, 442,182 interactions,414 organisms and will be continually expanded and updated. (April 2013) | biological pathway, pathway, molecule, biopax, standard exchange format, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: cPath is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: IntAct is related to: Reactome is related to: MINT is related to: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism is related to: Cancer Cell Map is related to: HPRD - Human Protein Reference Database is related to: Integrated Molecular Interaction Database is related to: Pathway Interaction Database is related to: CHEBI is related to: UniProt is related to: PANTHER is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit has parent organization: University of Toronto; Ontario; Canada |
NHGRI P41HG004118; NIGMS 2R01GM070743-06; NIGMS 1T32 GM083937; Cancer Biomedical Informatics Grid |
PMID:21071392 | Free, Freely available | nif-0000-20884, r3d100012731, biotools:PathwayCommons_web_service_API | https://bio.tools/PathwayCommons_web_service_API | SCR_002103 | 2026-09-03 04:45:16 | 14 | |||||
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Arvados Resource Report Resource Website 1+ mentions |
Arvados (RRID:SCR_002223) | arvados | data repository, service resource, storage service resource | Bioinformatics platform for storing, organizing, processing, and sharing genomic and other biomedical big data. Designed to make it easier for bioinformaticians to develop analyses, developers to create genomic web applications and IT administers to manage large-scale compute and storage genomic resources. Designed to run on top of cloud operating systems such as Amazon Web Services and OpenStack. Currently, there are implementations that work on AWS and Xen+Debian/Ubuntu. Functionally, Arvados has two major sets of capabilities: (a) data management and (b) compute management. | mapreduce/hadoop, genomic, biomedical, data sharing, compute, data management, cloud | is listed by: Debian | Free, Freely available | OMICS_01835 | https://sources.debian.org/src/arvados/ | SCR_002223 | 2026-09-03 04:45:18 | 3 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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