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Updated: Apr 30, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data
Manuel Garcia-Albornoz1, Subazini Thankaswamy-Kosalai1, Avlant Nilsson1
1Department of Chemical and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
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.

