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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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EvidenceFinder Resource Report Resource Website 1+ mentions |
EvidenceFinder (RRID:SCR_013764) | web application, software resource | A web application to assist in the identification of articles and research related to literature search terms. The search covers full text articles in the Europe PMC repository. Relevant papers are suggested to users based on the scientific term searched and the selection of questions, generated by the application, relevant to term searched. | web application, software resource, literature search, bio.tools |
is used by: Europe PubMed Central is listed by: Connected Researchers is listed by: Debian is listed by: bio.tools is related to: Connected Researchers is related to: Europe PubMed Central has parent organization: Europe PubMed Central |
Wellcome Trust 098231 | DOI:10.1093/nar/gku1061 | Free, Public | biotools:evidence_finder | https://bio.tools/evidence_finder | SCR_013764 | 2026-07-27 09:34:30 | 3 | ||||||
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HOMOZYGOSITYMAPPER Resource Report Resource Website 100+ mentions |
HOMOZYGOSITYMAPPER (RRID:SCR_001714) | HomozygosityMapper | analysis service resource, service resource, data analysis service, production service resource | A web-based approach of homozygosity mapping that can handle tens of thousands markers. User can upload their own SNP genotype files to the database. Intuitive graphic interface is provided to view the homozygous stretches, with the ability of zooming into single chromosomes or user-defined chromosome regions. The underlying genotypes in all samples are displayed. The software is also integrated with our candidate gene search engine, GeneDistiller, so that users can interactively determine the most promising gene. (entry from Genetic Analysis Software) | gene, genetic, genomic, perl, genotype, homozygosity score, homozygosity, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany |
PMID:19465395 | Free, Freely Available | nlx_154069, biotools:homozygositymapper, OMICS_00123 | https://bio.tools/homozygositymapper | SCR_001714 | 2026-07-27 09:31:17 | 121 | ||||||
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Proteome Analyst Specialized Subcellular Localization Server Resource Report Resource Website 1+ mentions |
Proteome Analyst Specialized Subcellular Localization Server (RRID:SCR_003143) | PA-SUB | analysis service resource, service resource, data analysis service, production service resource | Web server specialized to predict the subcellular localization of proteins using established machine learning techniques. | subcellular localization, protein, machine learning, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Alberta; Alberta; Canada |
PMID:14990451 | Free, Available for download, Freely available | biotools:pa-sub, OMICS_01631 | https://psort.org/#:~:text=Proteome%20Analyst's%20Subcellular%20Localization%20Server, proteins%20to%20many%20localization%20sites. | SCR_003143 | 2026-07-27 09:31:40 | 1 | ||||||
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FastSNP Resource Report Resource Website 50+ mentions |
FastSNP (RRID:SCR_003140) | analysis service resource, service resource, data analysis service, production service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 9, 2016. A web server that allows users to efficiently identify and prioritize high-risk SNPs according to their phenotypic risks and putative functional effects. A unique feature is that the functional effect information used for SNP prioritization is always up-to-date, because FASTSNP extracts the information from 11 external web servers at query time using a team of web wrapper agents. Moreover, FASTSNP is extendable by deploying more Web wrapper agents. FASTSNP provides three options for users to submit requests. If users already have some candidate SNPs on a candidate gene, they may use Query by Candidate Gene to select the specific SNPs on the gene to perform prioritization. If users have a specified SNP or a list of SNP rsid's needs to be prioritized, they can use Query by SNP option and upload the SNP list in an Excel-format file. Finally, if users have a novel SNP sequence, FASTSNP provides Novel SNP analysis. FASTSNP will generate a SNP Function Report for each SNP. Users can export SNP data to an excel file for further genotyping processes. Other features of FASTSNP include SNP quality checking and haplotype LD information. | single nucleotide polymorphism, function, phenotype, transcript, prioritize, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Academia Sinica; Taipei; Taiwan |
National Research Program in Genomic Medicine ; National Science Council Taiwan NSC93-3112-B-001-008-Y; National Science Council Taiwan NSC93-3112-B-001-018-Y |
PMID:16845089 | Free, Freely available | biotools:fastsnp, OMICS_00173, nif-0000-30566 | https://bio.tools/fastsnp | http://fastsnp.ibms.sinica.edu.tw/pages/input_CandidateGeneSearch.jsp | SCR_003140 | FastSNP: A Functional Analysis and Selection Tool for SNP in Large Scale Association Study, Function Analysis and Selection Tool for Single Nucleotide Polymorphisms, A Functional Analysis and Selection Tool for SNP in Large Scale Association Study | 2026-07-27 09:31:40 | 62 | ||||
|
Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | analysis service resource, service resource, data analysis service, production service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-07-27 09:31:39 | 25 | ||||
|
Human Gene Connectome Server Resource Report Resource Website 1+ mentions |
Human Gene Connectome Server (RRID:SCR_002627) | HGCS | analysis service resource, service resource, data analysis service, production service resource | An interactive web server that enables researchers to prioritize any list of genes by their biological proximity to defined core genes (i.e. genes that are known to be associated with the phenotype), and to predict novel gene pathways. | gene, disease, phenotype, genome, connectome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Human Gene Connectome |
PMID:23509278 | Free | nlx_156049, biotools:hgcs | https://bio.tools/hgcs | SCR_002627 | 2026-07-27 09:31:36 | 5 | ||||||
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AmphoraNet Resource Report Resource Website 10+ mentions |
AmphoraNet (RRID:SCR_005009) | AmphoraNet | analysis service resource, service resource, data analysis service, production service resource | Webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data. It is capable of assigning a probability-weighted taxonomic group for each phylogenetic marker gene found in the input metagenomic sample. | dna sequence, amino acid sequence, dna, sequence, amino acid, phylogenetic, reliability score, nucleotide, protein, nucleotide sequence, protein sequence, phylogenetic analysis, metagenomic, metagenomics, phylotyping, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Eotvos Lorand University; Budapest; Hungary |
PMID:24144838 | Acknowledgement requested, Free, Public | biotools:amphoranet, OMICS_01450 | https://bio.tools/amphoranet | SCR_005009 | 2026-07-27 09:32:10 | 16 | ||||||
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MLTreeMap Resource Report Resource Website 1+ mentions |
MLTreeMap (RRID:SCR_004792) | MLTreeMap | analysis service resource, service resource, data analysis service, production service resource | Data analysis service that analyzes DNA sequences and determines their most likely phylogenetic origin. Its main use is in metagenomics projects, where DNA is isolated directly from natural environments and sequenced (the organisms from which the DNA originates are often entirely undescribed). It will search such sequences for suitable marker genes, and will use maximum likelihood analysis to place them in the ''''Tree of Life''''. This placement is more reliable than simply assessing the closest relative of a sequence using BLAST. More importantly, MLTreeMap decides not only who is the closest relative of your query sequence, but also how deep in the tree of life it probably branched off. Additionally, MLTreeMap searches the sequences for genes, which are coding for key enzymes of important functional pathways, such as RuBisCo, methane monooxygenase or nitrogenase. In case of a positive hit, MLTreeMap uses maximum likelihood analysis to place them in the respective ''''gene-family tree''''. | phylogeny, gene, fasta, dna sequence, nucleotide sequence, metagenomics, metagenome, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: COG has parent organization: University of Zurich; Zurich; Switzerland |
PMID:20687950 | biotools:mltreemap, OMICS_01457 | https://bio.tools/mltreemap | SCR_004792 | Phylogenetic analysis of metagenomics sequence data | 2026-07-27 09:32:07 | 4 | ||||||
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Identifiers.org Resource Report Resource Website 50+ mentions |
Identifiers.org (RRID:SCR_003735) | Identifiers.org | service resource, production service resource, identifier resolution | A system providing resolvable persistent Uniform Resource Identifiers (URIs) used to identify data for the scientific community, with a current focus on the Life Sciences domain. The provision of resolvable identifiers (URLs) fits well with the Semantic Web vision, and the Linked Data initiative. It provides direct access to the identified data using one chosen physical location (or resource). If more than one physical locations providing the data are recorded in the Registry, then you can access them via the top banner or by using a profile. | identifier, life sciences, bio.tools |
uses: MIRIAM Resources is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
Free | nlx_157931, biotools:identifiers.org | https://bio.tools/identifiers.org | SCR_003735 | 2026-07-27 09:31:50 | 50 | |||||||
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INMEX Resource Report Resource Website 10+ mentions |
INMEX (RRID:SCR_004173) | INMEX | analysis service resource, service resource, data analysis service, production service resource | A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner. | gene expression, meta-analysis, metabolomics, pathway, gene, metabolite, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: KEGG is related to: Human Metabolome Database has parent organization: University of British Columbia; British Columbia; Canada |
Killam Trust ; Canadian Institutes of Health Research |
PMID:23766290 | Acknowledgement requested | biotools:inmex, OMICS_01546 | https://bio.tools/inmex | SCR_004173 | INtegrative Meta-analysis of EXpression data, INMEX - INtegrative Meta-analysis of EXpression data | 2026-07-27 09:31:57 | 19 | ||||
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Kismeth Resource Report Resource Website 50+ mentions |
Kismeth (RRID:SCR_005444) | Kismeth | analysis service resource, service resource, data analysis service, production 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 | 2026-07-27 09:32:17 | 53 | ||||||
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T-profiler Resource Report Resource Website 10+ mentions |
T-profiler (RRID:SCR_003452) | T-profiler | analysis service resource, service resource, data analysis service, production service resource | One of the key challenges in the analysis of gene expression data is how to relate the expression level of individual genes to the underlying transcriptional programs and cellular state. The T-profiler tool hosted on this website uses the t-test to score changes in the average activity of pre-defined groups of genes. The gene groups are defined based on Gene Ontology categorization, ChIP-chip experiments, upstream matches to a consensus transcription factor binding motif, and location on the same chromosome, respectively. If desired, an iterative procedure can be used to select a single, optimal representative from sets of overlapping gene groups. A jack-knife procedure is used to make calculations more robust against outliers. T-profiler makes it possible to interpret microarray data in a way that is both intuitive and statistically rigorous, without the need to combine experiments or choose parameters. Currently, gene expression data from Saccharomyces cerevisiae and Candida albicans are supported. Users can submit their microarray data for analysis by clicking on one of the two organism-specific tabs above. Platform: Online tool | expression, gene, binding, cellular, transcriptional, gene expression, microarray, gene ontology, transcription factor, binding motif, chip-chip, chip, motif, t-test, statistical analysis, transcriptome, bio.tools |
is listed by: Biositemaps is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Columbia University; New York; USA has parent organization: University of Amsterdam; Amsterdam; Netherlands |
Netherlands Foundation for Technical Research APB.5504; NHGRI R01HG003008 |
PMID:15980543 | Free for academic use | nif-0000-33354, biotools:t-profiler | https://bio.tools/t-profiler | SCR_003452 | T-profiler: Scoring the Activity of Pre-defined Groups of Genes Using Gene Expression Data | 2026-07-27 09:31:46 | 11 | ||||
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ProfCom - Profiling of complex functionality Resource Report Resource Website 1+ mentions |
ProfCom - Profiling of complex functionality (RRID:SCR_005797) | ProfCom | analysis service resource, service resource, data analysis service, production service resource | Profiling of Complex Functionality (ProfCom) is a web-based tool for the functional interpretation of a gene list that was identified to be related by experiments. A trait which makes ProfCom a unique tool is an ability to profile enrichments of not only available Gene Ontology (GO) terms but also of complex function. A complex function is constructed as Boolean combination of available GO terms. The complex functions inferred by ProfCom are more specific in comparison to single terms and describe more accurately the functional role of genes. Platform: Online tool | gene, function, profile, gene ontology, complex function, 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: Institute of Bioinformatics and Systems Biology; Neuherberg; Germany |
DFG | PMID:16959266 | Free for academic use | biotools:profcom, nlx_149276 | https://bio.tools/profcom | SCR_005797 | Profiling of Complex Functionality, Profiling of Complex Functionality (ProfCom) | 2026-07-27 09:32:22 | 4 | ||||
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SerbGO Resource Report Resource Website |
SerbGO (RRID:SCR_005798) | SerbGO | analysis service resource, service resource, data analysis service, production service resource | SerbGO is a web-based tool intended to assist researchers determine which microarray tools for gene expression analysis which make use of the GO ontologies are best suited to their projects. SerbGO is a bidirectional application. The user can ask for some features by checking on the Query Form to get the appropriate tools for their interests. The user can also compare tools to check which features are implemented in each one. Platform: Online tool | microarray, gene expression, statistical analysis, gene ontology, 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: University of Barcelona; Barcelona; Spain |
PMID:18480123 | Free for academic use | nlx_149286, biotools:serbgo | https://bio.tools/serbgo | SCR_005798 | SerbGO - Searching the best GO Tool | 2026-07-27 09:32:22 | 0 | |||||
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Expression Profiler Resource Report Resource Website 1+ mentions |
Expression Profiler (RRID:SCR_005821) | Expression Profiler | analysis service resource, service resource, data analysis service, production 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 | 2026-07-27 09:32:23 | 6 | ||||
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PRED-TMBB Resource Report Resource Website 50+ mentions |
PRED-TMBB (RRID:SCR_006190) | PRED-TMBB | analysis service resource, service resource, data analysis service, production 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 | 2026-07-27 09:32:29 | 54 | ||||
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mitopred Resource Report Resource Website 1+ mentions |
mitopred (RRID:SCR_006135) | MITOPRED | analysis service resource, service resource, data analysis service, production 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 | 2026-07-27 09:32:28 | 7 | ||||||
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GeneTrail Resource Report Resource Website 100+ mentions |
GeneTrail (RRID:SCR_006250) | GeneTrail | analysis service resource, service resource, data analysis service, production 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 | 2026-07-27 09:32:30 | 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 | analysis service resource, service resource, data analysis service, production 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) | 2026-07-27 09:32:35 | 38 | ||||
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NEBcutter Resource Report Resource Website 100+ mentions |
NEBcutter (RRID:SCR_010664) | analysis service resource, service resource, data analysis service, production service resource | This tool will take a DNA sequence and find the large, non-overlapping open reading frames using the E.coli genetic code and the sites for all Type II and commercially available Type III restriction enzymes that cut the sequence just once. By default, only enzymes available from NEB are used, but other sets may be chosen. Just enter your sequence and submit. Further options will appear with the output. The maximum size of the input file is 1 MByte, and the maximum sequence length is 300 KBases. NEBcutter produces a variety of outputs including restriction enzyme maps, theoretical digests and links into the restriction enzyme database, REBASE (http://rebase.neb.com/rebase/rebase.html). Importantly, its table of recognition sites is updated daily from REBASE and it marks all sites that are potentially affected by DNA methylation (Dam, Dcm, etc.). Many options exist to choose the enzymes used for digestion, including all known specificities, subsets of those that are commercially available or sets of enzymes that produce compatible termini. | bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: New England Biolabs |
PMID:12824395 | biotools:nebcutter, nlx_71778 | https://bio.tools/nebcutter | SCR_010664 | 2026-07-27 09:33:49 | 142 |
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