GLAMM: Genome-Linked Application for Metabolic Maps

Overview

Journal Nucleic Acids Res

Publisher Oxford University Press

Specialty Biochemistry

Date 2011 Jun 1

PMID 21624891

Citations 9

Authors

John T Bates

Dylan Chivian

Adam P Arkin

Affiliations

Soon will be listed here.

Abstract

The Genome-Linked Application for Metabolic Maps (GLAMM) is a unified web interface for visualizing metabolic networks, reconstructing metabolic networks from annotated genome data, visualizing experimental data in the context of metabolic networks and investigating the construction of novel, transgenic pathways. This simple, user-friendly interface is tightly integrated with the comparative genomics tools of MicrobesOnline [Dehal et al. (2010) Nucleic Acids Research, 38, D396-D400]. GLAMM is available for free to the scientific community at glamm.lbl.gov.

Citing Articles

Design Automation in Synthetic Biology.

Appleton E, Madsen C, Roehner N, Densmore D Cold Spring Harb Perspect Biol. 2017; 9(4).

PMID: 28246188 PMC: 5378053. DOI: 10.1101/cshperspect.a023978.

Targeting of the hydrophobic metabolome by pathogens.

Helms J, Kaloyanova D, Strating J, van Hellemond J, van der Schaar H, Tielens A Traffic. 2015; 16(5):439-60.

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Kiwi: a tool for integration and visualization of network topology and gene-set analysis.

Varemo L, Gatto F, Nielsen J BMC Bioinformatics. 2014; 15:408.

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Applications of genome-scale metabolic network model in metabolic engineering.

Kim B, Kim W, Kim D, Lee S J Ind Microbiol Biotechnol. 2014; 42(3):339-48.

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FOAM (Functional Ontology Assignments for Metagenomes): a Hidden Markov Model (HMM) database with environmental focus.

Prestat E, David M, Hultman J, Tas N, Lamendella R, Dvornik J Nucleic Acids Res. 2014; 42(19):e145.

PMID: 25260589 PMC: 4231724. DOI: 10.1093/nar/gku702.

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