title: The family based variability in protein family expansion.
abstract: In this paper we propose an automatic protein family expansion approach for recruitment of new members among the protein-coding genes in newly sequenced genomes. The criteria for adding a new member to a family depends on the structure of each individual family versus being globally uniform. The detection of a threshold in the ROC space of all sorted iterative profile sets defines the alignments selection criteria for each family. Furthermore, the statistical estimation of most-frequent optimal sorting criteria generates the optimal filtering strategy in a learning-parameter set for profile-based homology search.
authors: CNRS/LaBRI, Universite Bordeaux 1, Talence Cedex, France. sarkar@labri.fr
authors: Anasua
authors: A
authors: Sarkar
authors: Macha
authors: M
authors: Nikolski
authors: Pascal
authors: P
authors: Durrens
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D016678:Genome; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D012372:ROC Curve
chemical_list: D011506:Proteins