title: BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data.
abstract: Analysis of large data sets using computational and mathematical tools have become a central part of biological sciences. Large amounts of data are being generated each year from different biological research fields leading to a constant development of software and algorithms aimed to deal with the increasing creation of information. The BioMet Toolbox 2.0 integrates a number of functionalities in a user-friendly environment enabling the user to work with biological data in a web interface. The unique and distinguishing feature of the BioMet Toolbox 2.0 is to provide a web user interface to tools for metabolic pathways and omics analysis developed under different platform-dependent environments enabling easy access to these computational tools.
authors.affiliation: Department of Chemical and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
authors.forename: Manuel
authors.initials: M
authors.lastname: Garcia-Albornoz
authors.affiliation: Department of Chemical and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
authors.forename: Subazini
authors.initials: S
authors.lastname: Thankaswamy-Kosalai
authors.affiliation: Department of Chemical and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
authors.forename: Avlant
authors.initials: A
authors.lastname: Nilsson
authors.affiliation: Department of Chemical and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
authors.forename: Leif
authors.initials: L
authors.lastname: Väremo
authors.affiliation: Department of Chemical and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden intawat@chalmers.se nookaewi@ornl.gov.
authors.forename: Intawat
authors.initials: I
authors.lastname: Nookaew
authors.affiliation: Department of Chemical and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden nielsenj@chalmers.se.
authors.forename: Jens
authors.initials: J
authors.lastname: Nielsen
mesh_terms: D020869:Gene Expression Profiling; D023281:Genomics / Q000379:methods*; D020407:Internet; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism; D012984:Software