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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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edgeR Resource Report Resource Website 10000+ mentions |
edgeR (RRID:SCR_012802) | edgeR | data analysis software, software resource, data processing software, software application | Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication. | empirical, analysis, digital, gene, expression, data, R, RNA-seq data, bio.tools |
is used by: Glimma is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: SARTools is related to: Bioconductor works with: tximport |
NHMRC 406657; Independent Research Institutes Infrastructure Support Scheme 361646; Victorian State Government OIS grant ; Melbourne International Research Scholarship ; Harris and IBS Honours scholarships |
PMID:19910308 DOI:10.1093/bioinformatics/btp616 |
Free, Available for download, Freely available | OMICS_01308, biotools:edger | https://bio.tools/edger https://sources.debian.org/src/r-bioc-edger/ |
SCR_012802 | edgeR, empirical analysis of digital gene expression data in R, Empirical analysis of Digital Gene Expression data in R | 2026-02-13 10:57:01 | 21899 | ||||
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KEGG Resource Report Resource Website 10000+ mentions |
KEGG (RRID:SCR_012773) | KEGG | web service, data analysis service, portal, analysis service resource, data or information resource, production service resource, service resource, data access protocol, software resource, topical portal, database | Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies. | model, pathway, functional hierarchy, module, cancer, disease, drug, drug classification, orthology, ortholog, genome, gene, protein, compound, classification, biochemical reaction, pathway, ligand, biosynthesis, pathway prediction, sequence, chemical structure, human, enzyme, database, molecular interaction, metabolism, metabolomics, cellular process, structure, drug development, reaction, cell |
is used by: NIF Data Federation is used by: Arabidopsis Reactome is used by: LIPID MAPS Proteome Database is used by: globaltest is used by: MitoMiner is used by: Database for Annotation Visualization and Integrated Discovery is used by: Biochemical Pathways Reaction Kinetics Database is used by: Ultimate Rough Aggregation of Metabolic Map is used by: GEMINI is used by: In vivo - In silico Metabolite Database is listed by: 3DVC is listed by: OMICtools is affiliated with: Kyoto Encyclopedia of Genes and Genomes Expression Database is related to: PathCase Pathways Database System is related to: ExplorEnz is related to: NCBI BioSystems Database is related to: Allen Institute Neurowiki is related to: eQuilibrator is related to: GeneTrail is related to: KegTools is related to: PRODORIC is related to: hiPathDB - human integrated Pathway DB with facile visualization is related to: METLIN is related to: Kidney and Urinary Pathway Knowledge Base is related to: DAVID is related to: ConsensusPathDB is related to: ENZYME is related to: FlyMine is related to: Babelomics is related to: SynSysNet is related to: Cotton EST Database is related to: Integrated Molecular Interaction Database is related to: SEGS is related to: INMEX is related to: BioExtract is related to: ClueGO is related to: MalaCards is related to: TrED is related to: FunTree is related to: MOPED - Model Organism Protein Expression Database is related to: ProOpDB is related to: KOBAS is related to: GeneTerm Linker is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit is related to: GeneCodis is related to: FunNet - Transcriptional Networks Analysis is related to: LegumeIP is related to: Algal Functional Annotation Tool is related to: aGEM is related to: DINIES is related to: KEGG PATHWAY Database is related to: ShinyGO is related to: KEGGREST has parent organization: Kyoto University; Kyoto; Japan has parent organization: University of Tokyo; Tokyo; Japan is parent organization of: KegTools works with: DIANA-mirPath works with: MiMeDB |
Japanese Ministry of Education Culture Sports Science and Technology MEXT ; Japan Science and Technology Agency |
PMID:22700311 PMID:22130871 PMID:22080510 PMID:19880382 PMID:19172790 PMID:18428742 PMID:18287706 PMID:18077471 PMID:16381885 PMID:16014746 PMID:14681412 PMID:12539951 PMID:11752249 PMID:10928937 PMID:10592173 PMID:9847135 |
Restricted | nlx_31015, OMICS_01583, OMICS_03010, OMICS_01582, OMICS_03974, OMICS_05434, OMICS_05360 | http://www.genome.jp/kegg/ | SCR_012773 | KEGG - Kyoto Encyclopedia of Genes and Genomes, Kyoto Encyclopedia of Genes and Genomes | 2026-02-13 10:57:01 | 75877 | ||||
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L2L Microarray Analysis Tool Resource Report Resource Website 1+ mentions |
L2L Microarray Analysis Tool (RRID:SCR_013440) | L2L | data repository, data processing software, storage service resource, data analysis service, analysis service resource, data or information resource, production service resource, data analysis software, service resource, software application, software resource, database |
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 26, 2019. Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible |
microarray, gene expression, adipogenesis, biological, biological process, cancer, cell cycle regulator, cellular component, chromatin, cockayne syndrome, dna damage, growth factor, hormone, human biology, hypoxic response, immune mediator, inflammatory mediator, molecular function, molecular neuroanatomy resource, adipocyte, development, hypoxia, immune, inflammation, metabolism, mitogen, neuro, rna, vascular, transcription, tissue, splicing, mouse, human, rat, source code, statistical analysis, gene, chromatin structure |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Washington; Seattle; USA |
Cockayne syndrome, DNA damage, Other, Aging, Cancer | Cora May Poncin Foundation ; NIGMS GM41624 |
PMID:16168088 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10463 | http://depts.washington.edu/l2l/about.html | SCR_013440 | L2L Microarray Database, L2L Microarray Analysis Tool: A simple tool for discovering the hidden biological significance in microarray expression data, L2L MDB | 2026-02-13 10:57:07 | 1 | |||
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PlasmoDB Resource Report Resource Website 1000+ mentions |
PlasmoDB (RRID:SCR_013331) | data repository, storage service resource, web service, data analysis service, analysis service resource, data or information resource, production service resource, service resource, data access protocol, software resource, database | Functional genomic database for malaria parasites. Database for Plasmodium spp. Provides resource for data analysis and visualization in gene-by-gene or genome-wide scale. PlasmoDB 5.5 contains annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution data. Data can be queried by selecting from query grid or drop down menus. Results can be combined with each other on query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.Key community database for malaria researchers, intersecting many types of laboratory and computational data, aggregated by gene. | Functional, genomic, database, malaria, parasite, data, analysis, visualization, gene, genome, annotation, transcription, proteomics, protein, evolution, FASEB list |
uses: SynView is related to: GeneDB Pfalciparum has parent organization: Eukaryotic Pathogen Database Resources has parent organization: Pennsylvania State University has parent organization: University of Georgia; Georgia; USA |
malaria | NIAID | PMID:18957442 | nif-0000-03314, SCR_017665 | SCR_013331 | PlasmoDB, Plasmodium Genomics Resource, PlasmoDB 5.5, Plasmodium genome-resource | 2026-02-13 10:57:06 | 1239 | ||||||
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PiGenome Resource Report Resource Website |
PiGenome (RRID:SCR_013394) | PiGenome | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Database for ESTs (Expressed Sequence Tags), consensus sequences, bacterial artificial chromosome (BAC) clones, BES (BAC End Sequences). They have generated 69,545 ESTs from 6 full-length cDNA libraries (Porcine Abdominal Fat, Porcine Fat Cell, Porcine Loin Muscle, Liver and Pituitary gland). They have also identified a total of 182 BAC contigs from chromosome 6. It is very valuable resources to study porcine quantitative trait loci (QTL) mapping and genome study. Users can explore genomic alignment of various data types, including expressed sequence tags (ESTs), consensus sequences, singletons, QTL, Marker, UniGene and BAC clones by several options. To estimate the genomic location of sequence dataset, their data aligned BES (BAC End Sequences) instead of genomic sequence because Pig Genome has low-coverage sequencing data. Sus scrofa Genome Database mainly provide comparative map of four species (pig, cattle, dog and mouse) in chromosome 6. | gene expression, genome, sequence, gene, expressed sequence tag, consensus sequence, bac clone, bac end sequence, bac contig, quantitative trait loci, singleton, marker, unigene, chromosome 6, blast, transcript, bacterial artificial chromosome, snp, alignment |
is related to: Gene Ontology has parent organization: National Institute of Animal Science; Gyeonggi-do; South Korea |
National Institute of Animal Science; Gyeonggi-do; Korea ; Korean Rural Development Administration ; Biogreen21 Project 20050301034467 |
PMID:19082661 | nlx_153888 | http://pigenome.nabc.go.kr/ | SCR_013394 | Sus scrofa Genome database, Pig Genome Database, Pigenome database | 2026-02-13 10:57:06 | 0 | |||||
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GeneSigDB Resource Report Resource Website 10+ mentions |
GeneSigDB (RRID:SCR_013275) | GeneSigDB | data repository, storage service resource, web service, data analysis service, analysis service resource, data or information resource, production service resource, service resource, data access protocol, software resource, database | Database of traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed. The Advanced Gene Search will perform a One-tailed Fisher Exact Test (which is equivalent to Hypergeometric Distribution) to test if your gene list is over-represented in any gene signature in GeneSigDB. Gene expression studies typically result in a list of genes (gene signature) which reflect the many biological pathways that are concurrently active. We have created a Gene Signature Data Base (GeneSigDB) of published gene expression signatures or gene sets which we have manually extracted from published literature. GeneSigDB was creating following a thorough search of PubMed using defined set of cancer gene signature search terms. We would be delighted to accept or update your gene signature. Please fill out the form as best you can. We will contact you when we get it and will be happy to work with you to ensure we accurately report your signature. GeneSigDB is capable of providing its functionality through a Java RESTful web service. | gene, gene signature, curated gene signature, gene expression, gene expression signature, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: Computational Biology and Functional Genomics Laboratory at Harvard |
Cancer | Genome Research Institute ; Dana-Farber Cancer Institute ; Women's Cancers Program ; Claudia Adams Barr Foundation ; NLM 1R01 LM010129; NCI 1U19 CA148065; NHGRI 1P50 HG004233 |
PMID:22110038 | biotools:genesigdb, nlx_149342 | https://bio.tools/genesigdb | SCR_013275 | Gene Signature Data Base, GeneSigDB - Curated Gene Signatures Database | 2026-02-13 10:57:05 | 24 | ||||
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PIAGE Resource Report Resource Website |
PIAGE (RRID:SCR_013124) | software resource, software application | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software program that performs estimation of power and sample sizes required to detect genetic and environmental main, as well as gene-environment interaction (GxE) effects in indirect matched case-control studies (1:1 matching). When the hypothesis of GxE is tested, power/sample size will be estimated for the detection of GxE, as well as for the detection of genetic and environmental marginal effects. Furthermore, power estimation is implemented for the joint test of genetic marginal and GxE effects (Kraft P et al., 2007). Power and sample size estimations are based on Gauderman''s (2002) asymptotic approach for power and sample size estimations in direct studies of GxE. Hardy-Weinberg equilibrium and independence of genotypes and environmental exposures in the population are assumed. The estimates are based on genotypic codes (G=1 (G=0) for individuals who carry a (non-) risk genotype), which depend on the mode of inheritance (dominant, recessive, or multiplicative). A conditional logistic regression approach is used, which employs a likelihood-ratio test with respect to a biallelic candidate SNP, a binary environmental factor (E=1 (E=0) in (un)exposed individuals), and the interaction between these components. (entry from Genetic Analysis Software) | gene, genetic, genomic, r, ms-windows, linux | is listed by: Genetic Analysis Software | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154534, SCR_009372, nlx_154594 | SCR_013124 | R/PIAGE, Power of Indirect Association Studies of Gene-Environment Interactions | 2026-02-13 10:57:04 | 0 | ||||||||
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ENIGMA Resource Report Resource Website 100+ mentions |
ENIGMA (RRID:SCR_013400) | data analysis software, software resource, data processing software, software application | A software tool to extract gene expression modules from perturbational microarray data, based on the use of combinatorial statistics and graph-based clustering. The modules are further characterized by incorporating other data types, e.g. GO annotation, protein interactions and transcription factor binding information, and by suggesting regulators that might have an effect on the expression of (some of) the genes in the module. Version : ENIGMA 1.1 used GO annotation version : Aug 29th 2007 | genome, gene, genetic software, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Ghent University; Ghent; Belgium is parent organization of: ENIGMA-DTI Pipeline |
PMID:18402676 | biotools:enigma, nlx_144365 | https://bio.tools/enigma | SCR_013400 | 2026-02-13 10:57:06 | 130 | ||||||||
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BOOST Resource Report Resource Website 10+ mentions |
BOOST (RRID:SCR_013133) | BOOST | software resource, data analysis software, data processing software, software application | Software application (entry from Genetic Analysis Software) for a method for detecting gene-gene interactions. It allows examining all pairwise interactions in genome-wide case-control studies. | gene, genetic, genomic, logistic regression model, gene-gene interactions | is listed by: Genetic Analysis Software | Free, Available for download | nlx_154249 | SCR_013133 | BOolean Operation based Screening and Testing | 2026-02-13 10:57:04 | 32 | |||||||
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R/FEST Resource Report Resource Website 1+ mentions |
R/FEST (RRID:SCR_013347) | software resource, software application | An R package for simulations and likelihood calculations of pair-wise family relationships using DNA marker data. (entry from Genetic Analysis Software) | gene, genetic, genomic, r | is listed by: Genetic Analysis Software | nlx_154111, SCR_000830, nlx_154582 | SCR_013347 | FEST | 2026-02-13 10:57:06 | 2 | |||||||||
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Residual Variation Intolerance Score (RVIS) Resource Report Resource Website 1+ mentions |
Residual Variation Intolerance Score (RVIS) (RRID:SCR_013850) | RVIS | data or information resource, narrative resource, standard specification | A gene-based score intended to help in the interpretation of human sequence data. The score is designed to rank genes in terms of whether they have more or less common functional genetic variation relative to the genome wide expectation given the amount of apparently neutral variation the gene has. A gene with a positive score has more common functional variation, and a gene with a negative score has less and is referred to as intolerant. | gene, score, sequence, interpretation, rank, functional genetic variation | is listed by: Columbia University; New York; USA | NIH Epi4K Sequencing ; Bioinformatics and Biostatistics Core U01NS077303 |
DOI:10.1371/journal.pgen.1003709 | SCR_013850 | Residual Variation Intolerance Score | 2026-02-13 10:57:12 | 8 | |||||||
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INMEX Resource Report Resource Website 10+ mentions |
INMEX (RRID:SCR_004173) | INMEX | data analysis service, production service resource, service resource, analysis 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 | 2026-02-13 10:55:22 | 19 | ||||
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Biomine Resource Report Resource Website 1+ mentions |
Biomine (RRID:SCR_003552) | Biomine | data or information resource, service resource, database | Service that integrates cross-references from several biological databases into a graph model with multiple types of edges, such as protein interactions, gene-disease associations and gene ontology annotations. Edges are weighted based on their type, reliability, and informativeness. In particular, it formulates protein interaction prediction and disease gene prioritization tasks as instances of link prediction. The predictions are based on a proximity measure computed on the integrated graph. | gene, protein, genetics, visualization, connection, biological entity, protein interaction, disease gene, link prediction |
is related to: Entrez Gene is related to: Gene Ontology is related to: HomoloGene is related to: InterPro is related to: OMIM is related to: STRING is related to: UniProtKB is related to: UniProt is related to: GoMapMan has parent organization: University of Helsinki; Helsinki; Finland |
PMID:22672646 | nlx_157687 | SCR_003552 | 2026-02-13 10:55:16 | 4 | ||||||||
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SEGS Resource Report Resource Website 1+ mentions |
SEGS (RRID:SCR_003554) | SEGS | data analysis service, production service resource, service resource, analysis service resource | A web tool for descriptive analysis of microarray data. The analysis is performed by looking for descriptions of gene sets that are statistically significantly over- or under-expressed between different scenarios within the context of a genome-scale experiments (DNA microarray). Descriptions are defined by using the terms from the Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene-gene interactions found in the ENTREZ database. Gene annotations by GO and KEGG terms can also be found in the ENTREZ database. The tool provides three procedures for testing the enrichment of the gene sets (over- or under-expressed): Fisher's exact test, GSEA and PAGE, and option for combining the results of the tests. Because of the multiple-hypothesis testing nature of the problem, all the p-values are computed using the permutation testing method. | microarray, pathway, gene-gene interaction, gene, interaction, annotation, gene expression, ortholog, molecular function, biological process, cellular component, enriched gene set, gene set |
is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: GoMapMan has parent organization: Jozef Stefan Institute; Ljubljana; Slovenia |
PMID:18234563 | nlx_157688 | SCR_003554 | Search for Enriched Gene Sets | 2026-02-13 10:55:16 | 3 | |||||||
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Ancestrymap Resource Report Resource Website 10+ mentions |
Ancestrymap (RRID:SCR_004353) | ANCESTRYMAP | software resource, source code, software application | Software application that finds skews in ancestry that are potentially associated with disease genes in recently mixed populations like African Americans. It can be downloaded for either UNIX or Linux. | disease gene, ancestry, gene, genomic, unix, linux, admixture mapping, admixture, genome, linkage disequilibrium, population |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools has parent organization: Harvard Medical School; Massachusetts; USA |
Burroughs Wellcome Fund ; NHGRI K-01 HG002758-01 |
PMID:15088269 | Restricted | nlx_39116, biotools:ancestrymap, OMICS_02083 | https://reich.hms.harvard.edu/software https://bio.tools/ancestrymap |
http://genepath.med.harvard.edu/~reich/Software.htm, http://genetics.med.harvard.edu/reich/Reich_Lab/Software.html | SCR_004353 | 2026-02-13 10:55:25 | 12 | ||||
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MLTreeMap Resource Report Resource Website 1+ mentions |
MLTreeMap (RRID:SCR_004792) | MLTreeMap | data analysis service, production service resource, service resource, analysis 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 | 2026-02-13 10:55:30 | 4 | ||||||
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FuncExpression Resource Report Resource Website |
FuncExpression (RRID:SCR_005773) | FuncExpression | data analysis service, production service resource, service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 11, 2012. FuncExpression is a web-based resource for functional interpretation of large scale genomics data. FuncExpression can be used for the functional comparison of plant, animal, and fungal gene name lists generated from genomics and proteomics experiments. Multiple gene lists can be classified, compared and visualized. FuncExpression supports two way-integration of plant gene functional information and the gene expression data, which allows for further cross-validation with plant microarray data from related experiments at BarleyBase. Platform: Online tool | statistical analysis, genomics, compare, function, plant, animal, fungus, gene, proteomics, gene expression, microarray |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: PLEXdb - Plant Expression Database has parent organization: Iowa State University; Iowa; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149237 | SCR_005773 | 2026-02-13 10:55:41 | 0 | ||||||||
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ProfCom - Profiling of complex functionality Resource Report Resource Website 1+ mentions |
ProfCom - Profiling of complex functionality (RRID:SCR_005797) | ProfCom | data analysis service, production service resource, service resource, analysis 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) | 2026-02-13 10:55:42 | 4 | ||||
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Computational Biology at ORNL Resource Report Resource Website |
Computational Biology at ORNL (RRID:SCR_005710) | Computational Biology at ORNL | data analysis service, production service resource, service resource, analysis service resource | We are the Computational Biology and Bioinformatics Group of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. We provide bioinformatics and analytic services and resources to collaborators, predict prospective gene and protein models for analysis, provide user services for the general community, including computer-annotated genomes in Genome Channel. Our collaborators include the Joint Genome Institute, ORNL''s Computer Science and Mathematics Division, the Tennessee Mouse Genome Consortium, the Joint Institute for Biological Sciences, and ORNL''s Genome Science and Technology Graduate Program. | genetics, research, system development, genomic sequencing, computation, genome analysis, protein structure, analysis, gene, protein, gene annotation, annotation, genome | has parent organization: Oak Ridge National Laboratory | nlx_149161 | SCR_005710 | Computational Biology at Oak Ridge National Laboratory, Computational Biology and Bioinformatics Group at ORNL, Computational Biology Bioinformatics Group at ORNL | 2026-02-13 10:55:40 | 0 | ||||||||
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GOtcha Resource Report Resource Website 1+ mentions |
GOtcha (RRID:SCR_005790) | GOtcha | data analysis service, production service resource, service resource, analysis service resource | GOtcha provides a prediction of a set of GO terms that can be associated with a given query sequence. Each term is scored independently and the scores calibrated against reference searches to give an accurate percentage likelihood of correctness. These results can be displayed graphically. Why is GOtcha different to what is already out there and why should you be using it? * GOtcha uses a method where it combines information from many search hits, up to and including E-values that are normally discarded. This gives much better sensitivity than other methods. * GOtcha provides a score for each individual term, not just the leaf term or branch. This allows the discrimination between confident assignments that one would find at a more general level and the more specific terms that one would have lower confidence in. * The scores GOtcha provides are calibrated to give a real estimate of correctness. This is expressed as a percentage, giving a result that non-experts are comfortable in interpreting. * GOtcha provides graphical output that gives an overview of the confidence in, or potential alternatives for, particular GO term assignments. The tool is currently web-based; contact David Martin for details of the standalone version. Platform: Online tool | function, protein, prediction, genome, annotation, gene, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Dundee; Scotland; United Kingdom |
Wellcome Trust 060269; European Union fifth framework QLRI-CT-2000-00127 |
PMID:15550167 | Free for academic use | nlx_149269 | http://www.compbio.dundee.ac.uk/Software/GOtcha/gotcha.html | SCR_005790 | 2026-02-13 10:55:42 | 1 |
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We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
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