title: Dot-plot comparisons by multivariate analysis (DOCMA): a tool for classifying protein sequences.
abstract: A method aimed at classifying protein sequences without resorting to pairwise alignment is presented. Called DOCMA (DOt-plot Comparisons by Multivariate Analysis), it is based on a multivariate analysis of the pairwise dot-plots between all the sequences in the set. The dot-plots are first simplified by considering only the projections of the 'diagonal' segments of similarity onto the axes. From these projections a data matrix is built, in which each column is representative of the comparisons of one given sequence with all the other ones. This data matrix is then transformed into a distance matrix by a chi-squared analysis, from which the coordinates of the sequences in an orthonormal Euclidean space are obtained. The sequences are finally classified by a dynamic clustering procedure followed by a search for strong clusters. Application of this method to protein families such as the globins, the cytochromes c and the aminoacyl-tRNA synthetases shows that it is quite effective in delineating subgroups that contain even distantly related sequences.
authors: Centre de Génétique Moléculaire du CNRS, Laboratoire Associé à l'Université Gif-sur-Yvette, France.
authors: C
authors: C
authors: Landès
authors: A
authors: A
authors: Hénaut
authors: J L
authors: JL
authors: Risler
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D016000:Cluster Analysis; D015999:Multivariate Analysis; D012984:Software