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.

DOI: 10.1504/IJBRA.2013.052473

Cite this paper

@article{Sarkar2013TheFB, title={The family based variability in protein family expansion}, author={Anasua Sarkar and Macha Nikolski and Pascal Durrens}, journal={International journal of bioinformatics research and applications}, year={2013}, volume={9 2}, pages={121-33} }