Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractMitochondrial DNA diversity and the origin of Chinese indigenous sheep    Next Abstract"Fugitive emissions of volatile organic compounds from the pharmaceutical industry in China based on leak detection and repair monitoring, atmospheric prediction, and health risk assessment" »

Nucleic Acids Res


Title:A new pheromone trail-based genetic algorithm for comparative genome assembly
Author(s):Zhao F; Zhao F; Li T; Bryant DA;
Address:"Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA"
Journal Title:Nucleic Acids Res
Year:2008
Volume:20080429
Issue:10
Page Number:3455 - 3462
DOI: 10.1093/nar/gkn168
ISSN/ISBN:1362-4962 (Electronic) 0305-1048 (Print) 0305-1048 (Linking)
Abstract:"Gap closing is considered one of the most challenging and time-consuming tasks in bacterial genome sequencing projects, especially with the emergence of new sequencing technologies, such as pyrosequencing, which may result in large amounts of data without the benefit of large insert libraries for contig scaffolding. We propose a novel algorithm to align contigs with more than one reference genome at a time. This approach can successfully overcome the limitations of low degrees of conserved gene order for the reference and target genomes. A pheromone trail-based genetic algorithm (PGA) was used to search globally for the optimal placement for each contig. Extensive testing on simulated and real data sets shows that PGA significantly outperforms previous methods, especially when assembling genomes that are only moderately related. An extended version of PGA can predict additional candidate connections for each contig and can thus increase the likelihood of identifying the correct arrangement of each contig. The software and test data sets can be accessed at http://sourceforge.net/projects/pga4genomics/"
Keywords:"*Algorithms Computer Simulation Contig Mapping *Genome, Bacterial *Genomics;"
Notes:"MedlineZhao, Fangqing Zhao, Fanggeng Li, Tao Bryant, Donald A eng Evaluation Study Research Support, U.S. Gov't, Non-P.H.S. England 2008/05/01 Nucleic Acids Res. 2008 Jun; 36(10):3455-62. doi: 10.1093/nar/gkn168. Epub 2008 Apr 29"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 22-11-2024