The family based variability in protein family expansion
by Anasua Sarkar; Macha Nikolski; Pascal Durrens
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 9, No. 2, 2013

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.

Online publication date: Sat, 06-Sep-2014

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