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.


Manuel Garcia

Chalmers University of Technology

Subazini Thankaswamy-Kosalai

Chalmers University of Technology

Avlant Nilsson

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Leif Wigge

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Intawat Nookaew

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Jens B Nielsen

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Nucleic Acids Research

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

Vol. 42 W175-W181


Biologisk systematik


C3SE (Chalmers Centre for Computational Science and Engineering)


Livsvetenskaper och teknik