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Computational prediction of human metabolic pathways from the complete human genome

Pedro Romero1,3 email, Jonathan Wagg1 email, Michelle L Green1 email, Dale Kaiser2 email, Markus Krummenacker1 email and Peter D Karp1 email

1Bioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA

2Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA

3Current address: School of Informatics, Center for Computational Biology and Bioinformatics, Indiana University - Purdue University Indianapolis, 714 N Senate Ave, Indianapolis, IN 46202, USA

author email corresponding author email

Genome Biology 2004, 6:R2doi:10.1186/gb-2004-6-1-r2

Published: 22 December 2004

Subject areas: Genome studies, Biochemistry and structural biology, Physiology, Bioinformatics


Additional files

Additional data file 1:

A table listing the data file names generated from EnsMart for each human chromosome or contig and provided as input to PathoLogic, thus indicating which contigs are associated with which chromosomes

Format: HTML Size: 13KB Download file


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