Bioinformatics Advance Access published online on September 13, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm421
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Evolutionary Analysis of Enzymes Using Chisel
1Mathematics and Computer Science Department, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60439
2 Department of Human Genetics, The University of Chicago, 920 E 58th Street, Chicago, IL, 6063
*To whom correspondence should be addressed. Mr.Alexis A. Rodriguez, E-mail: arodri7{at}mcs.anl.gov
| Abstract |
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Motivation: Availability of large volumes of genomic and enzymatic data for taxonomically and phenotypically diverse organisms allows for exploration of the adaptive mechanisms that led to diversification of enzymatic functions. We present Chisel, a computational framework and a pipeline for an automated, high-resolution analysis of evolutionary variations of enzymes. Chisel allows automatic as well as interactive identification, and characterization of enzymatic sequences. Such knowledge can be utilized for comparative genomics, microbial diagnostics, metabolic engineering, drug design and analysis of metagenomes
Results: Chisel is a comprehensive resource that contains 8,575 clusters and subsequent computational models specific for 939 distinct enzymatic functions and, when data is sufficient, their taxonomic variations. Application of Chisel to identification of enzymatic sequences in newly sequenced genomes, analysis of organism-specific metabolic networks, "binning" of metagenomes, and other biological problems are presented. We also provide a thorough analysis of Chisel performance with other similar resources and manual annotations on Shewanella oneidensis MR1 genome.
Availability: Chisel is available for interactive use athttp://compbio.mcs.anl.gov/CHISEL. The website also provides a user manual, clusters and function specific computational models.
Supplementary Material: Additional data can be found at http://compbio.mcs.anl.gov/CHISEL/htmls/refs.html
Contact: arodri7{at}mcs.anl.govand matlsev{at}mcs.anl.gov
Associate Editor: Prof. John Quackenbush
Received on May 25, 2007; revised on July 17, 2007; accepted on August 13, 2007