Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis

Author:

Redestig Henning,Kusano Miyako,Fukushima Atsushi,Matsuda Fumio,Saito Kazuki,Arita Masanori

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference38 articles.

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2. Usadel B, Nagel A, Thimm O, Redestig H, Bläsing OE, Palacios-Rojas N, Selbig J, Hannemann J, Piques MC, Steinhauser D, Scheible WR, Gibon Y, Morcuende R, Weicht D, Meyer S, Stitt M: Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of corresponding genes, and comparison with known responses. Plant Physiol 2005, 138(3):1195–1204. 10.1104/pp.105.060459

3. Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J, Puigserver P, Carlsson E, Ridderstrale M, Laurila E, Houstis N, Daly MJ, Patterson N, Mesirov JP, Golub TR, Tamayo P, Spiegelman B, Lander ES, Hirschhorn JN, Altshuler D, Groop LC: PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet 2003, 34(3):267–73. 10.1038/ng1180

4. Redestig H, Repsilber D, Sohler F, Selbig J: Integrating functional knowledge during sample clustering for microarray data using unsupervised decision trees. Biom J 2007, 49(2):214–229. 10.1002/bimj.200610278

5. Huang DW, Sherman BT, Lempicki RA: Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res 2009, 37: 1–13. 10.1093/nar/gkn923

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