tetano
Editor, Senior Moderator
C R Biol. 2012 Mar;335(3):180-93. Epub 2012 Feb 24.
Alignment free characterization of the influenza-A hemagglutinin genes by the ISSCOR method.
Radomski JP, Slonimski PP.
Source
Interdisciplinary Center for Mathematical and Computational Modeling, Warsaw University, Pawińskiego 5A, Bldg. D, 02106 Warsaw, Poland.
Abstract
Analyses and visualizations by the ISSCOR method of the influenza virus hemagglutinin genes of three different A-subtypes revealed some rather striking temporal (for A/H3N3), and spatial relationships (for A/H5N1) between groups of individual gene subsets. The application to the A/H1N1 set revealed also relationships between the seasonal H1, and the swine-like novel 2009 H1v variants in a quick and unambiguous manner. Based on these examples we consider the application of the ISSCOR method for analysis of large sets of homologous genes as a worthwhile addition to a toolbox of genomics-it allows a rapid diagnostics of trends, and possibly can even aid an early warning of newly emerging epidemiological threats.
Copyright ? 2012 Acad?mie des sciences. Published by Elsevier SAS. All rights reserved.
PMID:
22464426
[PubMed - in process]
http://www.ncbi.nlm.nih.gov/pubmed/22464426
Alignment free characterization of the influenza-A hemagglutinin genes by the ISSCOR method.
Radomski JP, Slonimski PP.
Source
Interdisciplinary Center for Mathematical and Computational Modeling, Warsaw University, Pawińskiego 5A, Bldg. D, 02106 Warsaw, Poland.
Abstract
Analyses and visualizations by the ISSCOR method of the influenza virus hemagglutinin genes of three different A-subtypes revealed some rather striking temporal (for A/H3N3), and spatial relationships (for A/H5N1) between groups of individual gene subsets. The application to the A/H1N1 set revealed also relationships between the seasonal H1, and the swine-like novel 2009 H1v variants in a quick and unambiguous manner. Based on these examples we consider the application of the ISSCOR method for analysis of large sets of homologous genes as a worthwhile addition to a toolbox of genomics-it allows a rapid diagnostics of trends, and possibly can even aid an early warning of newly emerging epidemiological threats.
Copyright ? 2012 Acad?mie des sciences. Published by Elsevier SAS. All rights reserved.
PMID:
22464426
[PubMed - in process]
http://www.ncbi.nlm.nih.gov/pubmed/22464426