Correspondence discriminant analysis: a multivariate method for comparing classes of protein and nucleic acid sequences

• DOI: 10.1093/bioinformatics/12.6.519
• Publication Date: 2007-01-13T16:51:47Z
• Authors: G. Perrière; J.R. Lobry; J. Thioulouse
• Keywords: DNA, Bacterial; 0301 basic medicine; [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]; [SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT]; Molecular Sequence Data; Discriminant Analysis; Membrane Proteins; Proteins; DNA; Sequence Analysis, DNA; Haemophilus influenzae; 3. Good health; 03 medical and health sciences; Mycoplasma; Bacterial Proteins; Species Specificity; Multivariate Analysis; Escherichia coli; Amino Acid Sequence; Codon; Software; Bacillus subtilis

This report describes two applications of a multivariate method for studying classes nucleotide or protein sequences: correspondence discriminant analysis (CDA). The first example is the discrimination between Escherichia coli proteins according to their subcellular location (membrane, cytoplasm and periplasm). high resolution made it possible predict E.coli whom this information not known. second coding sequences leading lagging strands in four bacteria: Mycoplasma genitalium, Haemophilus influenzae, Bacillus subtilis. programs used computing are integrated publicly available package that runs on MacOS 7.x Windows 95 operating systems (http://biomserv.univ-lyonl.fr/ADE-4.html). These also accessible through our World Wide Web server (http://biomserv.univ-lyonl.fr/NetMul.html).