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URL: http://bioinformatics.biol.rug.nl/standalone/fiva/
Proper Citation: FIVA - Functional Information Viewer and Analyzer (RRID:SCR_005776)
Description: Functional Information Viewer and Analyzer (FIVA) aids researchers in the prokaryotic community to quickly identify relevant biological processes following transcriptome analysis. Our software is able to assist in functional profiling of large sets of genes and generates a comprehensive overview of affected biological processes. Currently, seven different modules containing functional information have been implemented: (i) gene regulatory interactions, (ii) cluster of orthologous groups (COG) of proteins, (iii) gene ontologies (GO), (iv) metabolic pathways (v) Swiss Prot keywords, (vi) InterPro domains - and (vii) generic functional categories. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Abbreviations: FIVA
Synonyms: FIVA - Functional Information Viewer Analyzer, Functional Information Viewer and Analyzer (FIVA), Functional Information Viewer and Analyzer
Resource Type: data processing software, software application, software resource
Defining Citation: PMID:17237043
Keywords: gene, gene expression, gene expression pattern, functional profile, statistical analysis, metabolic pathway, gene ontology, function, ortholog, gene regulatory interaction, biological process, transcriptome, visualization, analysis
Funding: Netherlands Organization for Scientific Research ; industrial partners in the NWO-BMI project number 050.50.206 on Computational Genomics of Prokaryotes ; Center IOP Genomics ; European Union QLK3-CT-2001-01473
Availability: Free for academic use
Resource Name: FIVA - Functional Information Viewer and Analyzer
Resource ID: SCR_005776
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
