Software LS-MIDA for efficient mass isotopomer distribution analysis in metabolic modelling

Journal article

Open access

Peer reviewed

Zeeshan Ahmed, Saman Zeeshan, Claudia Huber, Michael Hensel, Dietmar Schomburg, Richard Münch, Wolfgang Eisenreich and Thomas Dandekar

BMC bioinformatics, Vol.14(1), pp.218-218

07/09/2013

PMCID: PMC3720290

PMID: 23837681

Abstract

Software

url

https://doi.org/10.1186/1471-2105-14-218View

Version of Record (VoR) Open

Title: Software LS-MIDA for efficient mass isotopomer distribution analysis in metabolic modelling
Creators: Zeeshan Ahmed - Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany
Saman Zeeshan - Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany
Claudia Huber - Lehrstuhl für Biochemie, Technische Universität München, München, Germany
Michael Hensel - Department of Microbiology, University of Osnabrück, Osnabrück, Germany
Dietmar Schomburg - Department of Bioinformatics and Biochemistry, Technical University Braunschweig, Braunschweig, Germany
Richard Münch - Institute for Microbiology, Technical University Braunschweig, Braunschweig, Germany
Wolfgang Eisenreich - Lehrstuhl für Biochemie, Technische Universität München, München, Germany
Thomas Dandekar - Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany
Publication Details: BMC bioinformatics, Vol.14(1), pp.218-218
Date published: 07/09/2013
Publisher: BioMed Central
Academic Unit: Institute for Health, Health Care Policy and Aging Research
Language: English
Resource Type: Journal article
Identifiers: 991031654010004646