Assessing the Quality of Whole Genome Alignments in Bacteria
Joint Authors
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-11-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
Comparing genomes is an essential preliminary step to solve many problems in biology.
Matching long similar segments between two genomes is a precondition for their evolutionary, genetic, and genome rearrangement analyses.
Though various comparison methods have been developed in recent years, a quantitative assessment of their performance is lacking.
Here, we describe two families of assessment measures whose purpose is to evaluate bacteria-oriented comparison tools.
The first measure is based on how well the genome segmentation fits the gene annotation of the studied organisms; the second uses the number of segments created by the segmentation and the percentage of the two genomes that are conserved.
The effectiveness of the two measures is demonstrated by applying them to the results of genome comparison tools obtained on 41 pairs of bacterial species.
Despite the difference in the nature of the two types of measurements, both show consistent results, providing insights into the subtle differences between the mapping tools.
American Psychological Association (APA)
Swidan, Firas& Shamir, Ron. 2009. Assessing the Quality of Whole Genome Alignments in Bacteria. Advances in Bioinformatics،Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-495631
Modern Language Association (MLA)
Swidan, Firas& Shamir, Ron. Assessing the Quality of Whole Genome Alignments in Bacteria. Advances in Bioinformatics No. 2009 (2009), pp.1-8.
https://search.emarefa.net/detail/BIM-495631
American Medical Association (AMA)
Swidan, Firas& Shamir, Ron. Assessing the Quality of Whole Genome Alignments in Bacteria. Advances in Bioinformatics. 2009. Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-495631
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495631