The family based variability in protein family expansion.
SARKAR, Anasua
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
Department of Information Technology [GCELT]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
Department of Information Technology [GCELT]
DURRENS, Pascal
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
SARKAR, Anasua
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
Department of Information Technology [GCELT]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
Department of Information Technology [GCELT]
DURRENS, Pascal
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
< Réduire
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Models and Algorithms for the Genome [MAGNOME]
Langue
en
Article de revue
Ce document a été publié dans
International Journal of Bioinformatics Research and Applications. 2013, vol. 9, n° 2, p. 121-33
Inderscience
Résumé en anglais
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 ...Lire la suite >
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.< Réduire
Mots clés en anglais
protein family expansion
sequence profiles
protein specific scoring matrix
remote homologues
ROC analysis
alignment selection criteria
optimal filtering strategy
proteins
protein families
bioinformatics
gene sequences
Origine
Importé de halUnités de recherche