BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data
Artikel i vetenskaplig tidskrift, 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.

Författare

Manuel Garcia

Chalmers

Subazini Thankaswamy-Kosalai

Chalmers

Avlant Nilsson

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Leif Wigge

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Intawat Nookaew

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Jens B Nielsen

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Nucleic Acids Research

0305-1048 (ISSN) 1362-4962 (eISSN)

Vol. 42 W1 W175-W181

Industrial Systems Biology of Yeast and A. oryzae (INSYSBIO)

Europeiska kommissionen (FP7), 2010-01-01 -- 2014-12-31.

Ämneskategorier

Biologisk systematik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Styrkeområden

Livsvetenskaper och teknik

DOI

10.1093/nar/gku371

Mer information

Senast uppdaterat

2018-09-10