TY - CHAP
T1 - Bioinformatics Methods for Microbial Detection and Forensic Diagnostic Design
AU - Slezak, Tom R.
AU - Salzberg, Steven L.
N1 - Funding Information:
We thank Burkhard Morgenstern, Stefan Kurtz, and Enno Ohlenbusch for providing technical descriptions of DIALIGN, MGA , and Vmatch. Patrick Chain, Carol Zhou, Adam Zemla, and Elizabeth Vitalis provided considerable assistance improving this chapter. S.L.S. was supported in part by NIH grants R01-LM06845-04 and NO1-AI-15447. T.S. was supported by the U.S. Department of Energy at the University of California, LLNL under Contract No. W-7405-Eng-48.
Publisher Copyright:
© 2005 Elsevier Inc. All rights reserved.
PY - 2005/1/1
Y1 - 2005/1/1
N2 - This chapter reviews bioinformatics techniques that are used for the detection and identificationof microbial samples, and for further analysis of sequence information derived from microbial organisms. It begins with an overview of laboratory techniques used to create the diagnostic and forensic data, and then describes methods for sequencing, assembling, and analyzing genomic data. Algorithms for large-scale genome alignment and comparison, followed by methods for modeling protein structure are considered. The goal of bioinformatics in microbial forensics and diagnostics is to support the rapid identification of microbial samples, at a variety of levels of resolution (family, species, strain, and isolate). Techniques to accomplish this are based upon accurate determination and comparison of genomic sequence of high quality, combined with detailed analysis of the sequence to determine gene composition, protein structure, and the functional organization of the mechanisms of transmission and virulence. The chapter concludes with real-life examples demonstrating working systems for detection and analysis of the microbial pathogens, using both DNA and protein detection methods.
AB - This chapter reviews bioinformatics techniques that are used for the detection and identificationof microbial samples, and for further analysis of sequence information derived from microbial organisms. It begins with an overview of laboratory techniques used to create the diagnostic and forensic data, and then describes methods for sequencing, assembling, and analyzing genomic data. Algorithms for large-scale genome alignment and comparison, followed by methods for modeling protein structure are considered. The goal of bioinformatics in microbial forensics and diagnostics is to support the rapid identification of microbial samples, at a variety of levels of resolution (family, species, strain, and isolate). Techniques to accomplish this are based upon accurate determination and comparison of genomic sequence of high quality, combined with detailed analysis of the sequence to determine gene composition, protein structure, and the functional organization of the mechanisms of transmission and virulence. The chapter concludes with real-life examples demonstrating working systems for detection and analysis of the microbial pathogens, using both DNA and protein detection methods.
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U2 - 10.1016/B978-012088483-4/50018-4
DO - 10.1016/B978-012088483-4/50018-4
M3 - Chapter
AN - SCOPUS:84882513592
SP - 313
EP - 353
BT - Microbial Forensics
PB - Elsevier
ER -