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Proper Citation: BIIT - Bioinformatics Algorithmics and Data Mining Group (RRID:SCR_005690)
Description: The Bioinformatics, Algorithmics, and Data Mining group BIIT lead by prof. Jaak Vilo is a joint research group between the Department of Computer Science (University of Tartu), Quretec, and the Estonian Biocenter. Our main research topics and capabilities include the gene regulation, gene expression data analysis, biological data mining, systems biology, combinatorial pattern matching, developing software for biomedical research databases, as well as partnering in stem cell and cancer related projects. Software * MEM - Multi-Experiment-Matrix -- large-scale gene expression data queries and mining (Genome Biology 2009) * g:Profiler family of tools for functional assessment of gene groups, gene ID mappings, orthology and expression similarity searches. (NAR web server issue 2007) * KEGGanim - visualisation of high-throughput data on biological pathway charts (Bioinformatics, 2007) * GraphWeb - a tool for mining large biological networks (NAR Web server issue 2008) * FunGenES data atlas * More software tools
Abbreviations: BIIT Research group
Synonyms: BIIT - Bioinformatics Algorithmics Data Mining Group, BIIT Group - Institute of Computer Science
Resource Type: portal, software application, data or information resource, software resource, text-mining software, department portal, organization portal
Keywords: gene regulation, gene expression, data analysis, biological, data mining, systems biology, combinatorial pattern matching, software, biomedical research, stem cell, cancer
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