The family based variability in protein family expansion.

Anasua Sarkar 1, 2, 3 Macha Nikolski 1 Pascal Durrens 1, 2
2 MAGNOME - Models and Algorithms for the Genome
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
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.
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Article dans une revue
International Journal of Bioinformatics Research and Applications, Inderscience, 2013, 9 (2), pp.121-33. 〈http://inderscience.metapress.com/content/nr688l207137g0q3/fulltext.pdf〉. 〈10.1504/IJBRA.2013.052473〉
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Soumis le : mardi 3 septembre 2013 - 14:25:09
Dernière modification le : jeudi 11 janvier 2018 - 06:22:12

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Anasua Sarkar, Macha Nikolski, Pascal Durrens. The family based variability in protein family expansion.. International Journal of Bioinformatics Research and Applications, Inderscience, 2013, 9 (2), pp.121-33. 〈http://inderscience.metapress.com/content/nr688l207137g0q3/fulltext.pdf〉. 〈10.1504/IJBRA.2013.052473〉. 〈hal-00857374〉

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