BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data
Journal article, 2014
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.
Author
Manuel Garcia
Chalmers, Chemical and Biological Engineering, Life Sciences
Subazini Thankaswamy
Chalmers, Chemical and Biological Engineering, Life Sciences
Avlant Nilsson
Chalmers, Chemical and Biological Engineering, Life Sciences
Leif Wigge
Chalmers, Chemical and Biological Engineering, Life Sciences
Intawat Nookaew
Oak Ridge National Laboratory
Chalmers, Chemical and Biological Engineering, Life Sciences
Jens B Nielsen
Chalmers, Chemical and Biological Engineering, Life Sciences
Nucleic Acids Research
0305-1048 (ISSN) 1362-4962 (eISSN)
Vol. 42 W1 W175-W181Industrial Systems Biology of Yeast and A. oryzae (INSYSBIO)
European Commission (EC) (EC/FP7/247013), 2010-01-01 -- 2014-12-31.
Subject Categories
Biological Systematics
Infrastructure
C3SE (Chalmers Centre for Computational Science and Engineering)
Areas of Advance
Life Science Engineering (2010-2018)
DOI
10.1093/nar/gku371