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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Expression Profiler Resource Report Resource Website 1+ mentions |
Expression Profiler (RRID:SCR_005821) | Expression Profiler | production service resource, service resource, data analysis service, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The EP:GO browser is built into EBI's Expression Profiler, a set of tools for clustering, analysis and visualization of gene expression and other genomic data. With it, you can search for GO terms and identify gene associations for a node, with or without associated subnodes, for the organism of your choice. | other analysis, cluster, analysis, visualization, gene expression, genomic, gene ontology, gene association, microarray, protein-protein interaction, gene, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: European Bioinformatics Institute |
European Union ; Wellcome Trust ; Estonian Science Foundation 5724; Estonian Science Foundation 5722 |
PMID:15215431 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:expression_profiler, nlx_149323 | https://bio.tools/expression_profiler | SCR_005821 | Expression Profiler at the EBI | 2026-02-16 09:46:33 | 6 | ||||
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PRED-TMBB Resource Report Resource Website 50+ mentions |
PRED-TMBB (RRID:SCR_006190) | PRED-TMBB | production service resource, service resource, data analysis service, analysis service resource | A web tool, based on a Hidden Markov Model, capable of predicting the transmembrane beta-strands of the gram-negative bacteria outer membrane proteins, and of discriminating such proteins from water-soluble ones when screening large datasets. The model is trained in a discriminative manner, aiming at maximizing the probability of the correct prediction rather than the likelihood of the sequences. The training is performed on a non-redundant database consisting of 16 outer membrane proteins (OMP''s) with their structures known at atomic resolution. We show that we can achieve predictions at least as good comparing with other existing methods, using as input only the amino-acid sequence, without the need of evolutionary information included in multiple alignments. The method is also powerful when used for discrimination purposes, as it can discriminate with a high accuracy the outer membrane proteins from water soluble in large datasets, making it a quite reliable solution for screening entire genomes. This web-server can help you run a discriminating process on any amino-acid sequence and thereafter localize the transmembrane strands and find the topology of the loops. | protein, hidden markov model, prediction, membrane protein, beta-barrel outer membrane protein, gram-negative bacteria, topology, outer membrane protein, beta-barrel protein, probability, transmembrane strand, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
Greek Ministry of National Education and Religious Affairs | PMID:15215419 PMID:15070403 |
Acknowledgement requested | biotools:pred-tmbb, nlx_151734 | https://bio.tools/pred-tmbb | SCR_006190 | PRED-TMBB: A Hidden Markov Model method capable of predicting and discriminating beta-barrel outer membrane proteins | 2026-02-16 09:46:38 | 54 | ||||
|
mitopred Resource Report Resource Website 1+ mentions |
mitopred (RRID:SCR_006135) | MITOPRED | production service resource, service resource, data analysis service, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It predicts nuclear-encoded mitochondrial proteins from all eukaryotic species including plants. Prediction is based on the occurrence patterns of Pfam domains (version 16.0) in different cellular locations, amino acid composition and pI value differences between mitochondrial and non-mitochondrial locations. Additionally, you may download MITOPRED predictions for complete proteomes. Re-calculated predictions are instantly accessible for proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Homo sapiens, Mus musculus and Arabidopsis species as well as all the eukaryotic sequences in the Swiss-Prot and TrEMBL databases. Queries, at different confidence levels, can be made through four distinct options: (i) entering Swiss-Prot/TrEMBL accession numbers; (ii) uploading a local file with such accession numbers; (iii) entering protein sequences; (iv) uploading a local file containing protein sequences in FASTA format. The Mitopred algorithm works based on the differences in the Pfam domain occurrence patters and amino acid composition differences in different cellular compartments. Location specific Pfam domains have been determined from the entire eukaryotic set of Swissprot database. Similarly, differences in the amino acid composition between mitochondrial and non-mitochondrial sequences were pre-calculated. This information is used to calculate location-specific amino acid weights that are used to calculate amino acid score. Similarly, pI average values of the N-terminal 25 residues in different cellular location were also determined. This knowledge-base is accessed by the program during execution. | yeast, c. elegans, drosophila, mouse, human, arabidopsis, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University at Albany; New York; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:mitopred, nif-0000-03956, BioTools:mitopred | https://bio.tools/mitopred https://bio.tools/mitopred https://bio.tools/mitopred |
SCR_006135 | A genome-scale method for predicting mitochondrial proteins | 2026-02-16 09:46:38 | 7 | ||||||
|
Kismeth Resource Report Resource Website 50+ mentions |
Kismeth (RRID:SCR_005444) | Kismeth | production service resource, service resource, data analysis service, analysis service resource | A web-based tool for bisulfite sequencing analysis that was designed to be used with plants, since it considers potential cytosine methylation in any sequence context (CG, CHG, and CHH). It provides a tool for the design of bisulfite primers as well as several tools for the analysis of the bisulfite sequencing results. Kismeth is not limited to data from plants, as it can be used with data from any species. | plant, methylation, bisulfite sequencing, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:18786255 | Free for academic use, Contact for commercial use | biotools:kismeth, OMICS_00602 | https://bio.tools/kismeth | SCR_005444 | 2026-02-16 09:46:28 | 53 | ||||||
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GeneTrail Resource Report Resource Website 100+ mentions |
GeneTrail (RRID:SCR_006250) | GeneTrail | production service resource, service resource, data analysis service, analysis service resource | A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | pathway, microarray, enrichment, genomic, proteomic, function, transcription factor, genomic localization, protein-protein interaction, coiled-coil domain, granzyme-b clevage site, motif, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: TRANSPATH is related to: TRANSFAC is related to: Gene Ontology has parent organization: Saarland University; Saarbrucken; Germany |
PMID:17526521 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:genetrail, OMICS_02236 | https://bio.tools/genetrail | SCR_006250 | 2026-02-16 09:46:44 | 106 | ||||||
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GOEAST - Gene Ontology Enrichment Analysis Software Toolkit Resource Report Resource Website 10+ mentions |
GOEAST - Gene Ontology Enrichment Analysis Software Toolkit (RRID:SCR_006580) | GOEAST | production service resource, service resource, data analysis service, analysis service resource | Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) is a web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods. Compared with available GO analysis tools, GOEAST has the following unique features: * GOEAST supports analysis for data from various resources, such as expression data obtained using Affymetrix, illumina, Agilent or customized microarray platforms. GOEAST also supports non-microarray based experimental data. The web-based feature makes GOEAST very user friendly; users only have to provide a list of genes in correct formats. * GOEAST provides visualizable analysis results, by generating graphs exhibiting enriched GO terms as well as their relationships in the whole GO hierarchy. * Note that GOEAST generates separate graph for each of the three GO categories, namely biological process, molecular function and cellular component. * GOEAST allows comparison of results from multiple experiments (see Multi-GOEAST tool). The displayed color of each GO term node in graphs generated by Multi-GOEAST is the combination of different colors used in individual GOEAST analysis. Platform: Online tool | statistical analysis, gene ontology, high-throughput, microarray, hybridization, gene, visualization, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Chinese Academy of Sciences; Beijing; China |
National Natural Science Foundation of China 30725014; National Natural Science Foundation of China 90612019; Ministry of Science and Technology of China 2007CB946901; Chinese Academy of Sciences KSCX2-YW-R-134; Chinese Academy of Sciences KSCX2-YW-N-024 |
PMID:18487275 | Free for academic use | biotools:goeast, nlx_149248 | https://bio.tools/goeast | SCR_006580 | Gene Ontology Enrichment Analysis Software Toolkit, Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) | 2026-02-16 09:46:45 | 38 | ||||
|
Hyper Cell Line Database Resource Report Resource Website |
Hyper Cell Line Database (RRID:SCR_007730) | HyperCLDB | tissue bank, material resource, biomaterial supply resource | Hypertext on cell culture availability extracted from the Cell Line Data Base of the Interlab Project. HyperCLDB includes links to records of OMIM, the Online Mendelian Inheritance in Man Catalogue, and now also links to the PubMed, database of bibliographic biomedical references, which are drawn primarily from MEDLINE and PREMEDLINE. | cell, cell line, tumor, tissue, organ, blood, bodily fluid, ascitic fluid, brain, bone marrow, cancer, transforming agent, software, bio.tools |
is listed by: One Mind Biospecimen Bank Listing is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: ATCC is related to: Cell Line Knowledge Base has parent organization: IST National Institute for Cancer Research; Genoa; Italy |
Cancer, Etc. | PMID:18927105 | nif-0000-03004, biotools:hypercldb | https://bio.tools/hypercldb | SCR_007730 | 2026-02-16 09:47:02 | 0 | ||||||
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Atlas of Genetics and Cytogenetics in Oncology and Haematology Resource Report Resource Website 10+ mentions |
Atlas of Genetics and Cytogenetics in Oncology and Haematology (RRID:SCR_007199) | data or information resource, database, atlas | Online journal and database devoted to genes, cytogenetics, and clinical entities in cancer, and cancer-prone diseases. Its aim is to cover the entire field under study and it presents concise and updated reviews (cards) or longer texts (deep insights) concerning topics in cancer research and genomics. | gene, cytogenetic, cancer, cancer research, genomic, online journal, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools |
PMID:23161685 | Freely available, Available to the scientific community | nif-0000-30129, biotools:atlasgeneticsoncology | https://bio.tools/atlasgeneticsoncology | SCR_007199 | Genetics and Cytogenetics Atlas | 2026-02-16 09:46:54 | 38 | ||||||
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Magic Resource Report Resource Website 500+ mentions |
Magic (RRID:SCR_006406) | MAGIC | service resource, data or information resource, database | Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress. | gene expression, microarray, development stage, annotation, line, perturbation, gene, contrast, pathway, locus tag, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Expression Omnibus is related to: ArrayExpress is related to: Plant Ontology is related to: Gene Ontology has parent organization: Ghent University; Ghent; Belgium |
PMID:24407224 | biotools:magic, OMICS_02206 | https://bio.tools/magic | SCR_006406 | MAGIC - MAize Gene expressIon Compendium, MAize Gene expressIon Compendium | 2026-02-16 09:46:42 | 706 | ||||||
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Single Nucleotide Polymorphism Spectral Decomposition (SNPSpD) Resource Report Resource Website 10+ mentions |
Single Nucleotide Polymorphism Spectral Decomposition (SNPSpD) (RRID:SCR_008621) | SNPSpD | production service resource, service resource, data analysis service, analysis service resource | SNPSpD is a method of correcting for non-independance of single nucleotide polymorphisms (SNPs) in linkage disequilibrium (LD) with each other, on the basis of the spectral decomposition (SpD) of matrices of LD between SNP''s. Additionally, output from SNPSpD includes eigenvalues, principal-component coefficients, and factor loadings after varimax rotation, enabling the selection of a subset of SNPs that optimize the information in a genomic region. | bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Queensland Institute of Medical Research |
National Health and MRC Australia 241916 | PMID:14997420 | biotools:snpspd, nif-0000-31985 | https://bio.tools/snpspd | http://genepi.qimr.edu.au/general/daleN/SNPSp | SCR_008621 | Single Nucleotide Polymorphism Spectral Decomposition | 2026-02-16 09:47:13 | 18 | ||||
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Webproanalyst Resource Report Resource Website |
Webproanalyst (RRID:SCR_008348) | production service resource, service resource, data analysis service, analysis service resource | WebProAnalyst provides web-accessible analysis for scanning the quantitative structure-activity relationships in protein families. It searches for a sequence region, whose substitutions are correlated with variations in the activities of a homologous protein set, the so-called activity modulating sites. WebProAnalyst allows users to search for the key physicochemical characteristics of the sites that affect the changes in protein activities. It enables the building of multiple linear regression and neural networks models that relate these characteristics to protein activities. WebProAnalyst implements multiple linear regression analysis, back propagation neural networks and the Structure-Activity Correlation/Determination Coefficient (SACC/SADC). A back propagation neural network is implemented as a two-layered network, one layer as input, the other as output (Rumelhart et al, 1986). WebProAnalyst uses alignment of amino acid sequences and data on protein activity (pK, Km, ED50, among others). The input data are the numerical values for the physicochemical characteristics of a site in the multiple alignment given by a slide window. The output data are the predicted activity values. The current version of WebProAnalyst handles a single activity for a single protein. The SACC/SADC may be defined as an estimate of the strongest multiple correlation between the physicochemical characteristics of a site in a multiple alignment and protein activities. The SACC/SADC coefficient makes possible the calculation of the possible highest correlation achievable for the quantitative relationship between the physicochemical properties of sites and protein activities. The SACC/SADC is a convenient means for an arrangement of positions by their functional significance. WebProAnalyst outputs a list of multiple alignment positions, the respective correlation values, also regression analysis parameters for the relationships between the amino acid physicochemical characteristics at these positions and the protein activity values. | family, functional, activity, alignment, amino acid, homologous, modulating site, neural, physicochemical, propagation, protein, quantitative, region, relationship, scan, sequence, structure, substitution, variation, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-25212, biotools:webproanalyst | https://bio.tools/webproanalyst | SCR_008348 | Webproanalyst | 2026-02-16 09:47:10 | 0 | ||||||||
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GO2MSIG Resource Report Resource Website 1+ mentions |
GO2MSIG (RRID:SCR_018359) | data set, data or information resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2020. Software tool as automated Gene Ontology based multi species gene set generator for gene set enrichment analysis. Used to generate gene sets required for Gene Set Enrichment Analysis for almost any organism for which GO term association data exists. Gene set collections can be automatically created for wide variety of species. |
bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Broad Institute |
PMID:24884810 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:go2msig | https://bio.tools/go2msig | http://www.go2msig.org/cgi-bin/go2msig.cgi | SCR_018359 | 2026-02-16 09:49:29 | 4 | ||||||
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Strelka Resource Report Resource Website 100+ mentions |
Strelka (RRID:SCR_005109) | Strelka | software resource, commercial organization | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 7,2024. Software for somatic single nucleotide variant (SNV) and small indel detection from sequencing data of matched tumor-normal samples. The method employs a novel Bayesian approach which represents continuous allele frequencies for both tumor and normal samples, whilst leveraging the expected genotype structure of the normal. This is achieved by representing the normal sample as a mixture of germline variation with noise, and representing the tumor sample as a mixture of the normal sample with somatic variation. A natural consequence of the model structure is that sensitivity can be maintained at high tumor impurity without requiring purity estimates. The method has superior accuracy and sensitivity on impure samples compared to approaches based on either diploid genotype likelihoods or general allele-frequency tests. | single nucleotide variant, indel, somatic snv, next-generation sequencing, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Illumina |
Cancer, Tumor, Normal | PMID:22581179 PMID:30013048 |
biotools:strelka | https://bio.tools/strelka https://github.com/Illumina/strelka/ https://sources.debian.org/src/strelka/ |
SCR_005109 | 2026-02-16 09:46:26 | 261 | ||||||
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Quantitative Enrichment of Sequence Tags Resource Report Resource Website 10+ mentions |
Quantitative Enrichment of Sequence Tags (RRID:SCR_004065) | QuEST | software resource | A Kernel Density Estimator-based package for analysis of massively parallel sequencing data from chromatin immunoprecipitation (ChIP-seq) experiments. | genome-wide, transcription factor binding site, chip-seq, transcription factor, binding site, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Stanford University; Stanford; California |
PMID:19160518 | OMICS_00458, biotools:quest | https://bio.tools/quest | SCR_004065 | Quantitative Enrichment of Sequence Tags: QuEST | 2026-02-14 02:00:40 | 49 | ||||||
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Pash 3.0 Resource Report Resource Website 1+ mentions |
Pash 3.0 (RRID:SCR_004078) | Pash 3.0 | software resource | Performs sequence comparison and read mapping and can be employed as a module within diverse configurable analysis pipelines, including ChIP-Seq and methylome mapping by whole-genome bisulfite sequencing. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:21092284 | biotools:pash, OMICS_00586 | https://bio.tools/pash | SCR_004078 | 2026-02-14 02:00:40 | 1 | |||||||
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EpiGRAPH Resource Report Resource Website 10+ mentions |
EpiGRAPH (RRID:SCR_004326) | EpiGRAPH | software resource | A software for genome and epigenome analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00633, biotools:epigraph | https://bio.tools/epigraph | SCR_004326 | 2026-02-14 02:00:39 | 18 | |||||||
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InsertionMapper Resource Report Resource Website |
InsertionMapper (RRID:SCR_004163) | InsertionMapper | software resource | A pipeline tool for the identification of targeted sequences from multidimensional high throughput sequencing data. It consists of four independently working modules: Data Preprocessing, Database Modeling, Dimension Deconvolution and Element Mapping. This pipeline tool is applicable to scenarios requiring analysis of the tremendous output of short reads produced in NGS sequencing experiments of targeted genome sequences. | high throughput sequencing, dna sequence, next generation sequencing, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: SourceForge has parent organization: Montclair State University; New Jersey; USA |
PMID:24090499 | Acknowledgement requested, GNU General Public License | OMICS_01547, biotools:insertionmapper | https://bio.tools/insertionmapper | SCR_004163 | 2026-02-14 02:00:37 | 0 | ||||||
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bcbio-nextgen Resource Report Resource Website 100+ mentions |
bcbio-nextgen (RRID:SCR_004316) | bcbio-nextgen | software resource | A python toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis. | mapreduce/hadoop, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Free, Available for download, Freely available | biotools:bcbio-nextgen, OMICS_01121, BioTools:bcbio-nextgen | https://github.com/chapmanb/bcbb/blob/master/nextgen/README.md https://bio.tools/bcbio-nextgen https://bio.tools/bcbio-nextgen |
SCR_004316 | 2026-02-14 02:00:39 | 155 | |||||||
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TagDust Resource Report Resource Website 50+ mentions |
TagDust (RRID:SCR_004175) | TagDust | software resource | A program to eliminate artifactual reads from next-generation sequencing data sets. | unix/linux, bio.tools, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:19737799 | biotools:tagdust, OMICS_01095, biotools:nexalign | https://bio.tools/tagdust https://bio.tools/nexalign |
SCR_004175 | 2026-02-14 02:00:37 | 54 | |||||||
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Artemis: Genome Browser and Annotation Tool Resource Report Resource Website 100+ mentions |
Artemis: Genome Browser and Annotation Tool (RRID:SCR_004267) | Artemis | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Free genome browser and annotation tool that allows visualization of sequence features, next generation data and the results of analyses within the context of the sequence, and also its six-frame translation. Artemis is free software and is distributed under the terms of the GNU General Public License. Artemis is written in Java, and is available for UNIX, Macintosh and Windows systems. It can read EMBL and GENBANK database entries or sequence in FASTA, indexed FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format. | training tool, genome browser, gene annotation, java, bio.tools |
is listed by: OMICtools is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: DNAPlotter has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom works with: Alien-hunter |
Wellcome Trust | PMID:11120685 DOI:10.1093/bioinformatics/btr703 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_28554, OMICS_00903, biotools:artemis | https://bio.tools/artemis https://sources.debian.org/src/art-nextgen-simulation-tools/ |
SCR_004267 | 2026-02-14 02:00:56 | 421 |
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