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The family based variability in protein family expansion.
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| hal.structure.identifier | Models and Algorithms for the Genome [MAGNOME] | |
| hal.structure.identifier | Department of Information Technology [GCELT] | |
| dc.contributor.author | SARKAR, Anasua | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | NIKOLSKI, Macha | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| hal.structure.identifier | Models and Algorithms for the Genome [MAGNOME] | |
| dc.contributor.author | DURRENS, Pascal | |
| dc.date.accessioned | 2024-04-15T09:43:06Z | |
| dc.date.available | 2024-04-15T09:43:06Z | |
| dc.date.issued | 2013 | |
| dc.identifier.issn | 1744-5485 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/197736 | |
| dc.description.abstractEn | 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. | |
| dc.language.iso | en | |
| dc.publisher | Inderscience | |
| dc.subject.en | protein family expansion | |
| dc.subject.en | sequence profiles | |
| dc.subject.en | protein specific scoring matrix | |
| dc.subject.en | remote homologues | |
| dc.subject.en | ROC analysis | |
| dc.subject.en | alignment selection criteria | |
| dc.subject.en | optimal filtering strategy | |
| dc.subject.en | proteins | |
| dc.subject.en | protein families | |
| dc.subject.en | bioinformatics | |
| dc.subject.en | gene sequences | |
| dc.title.en | The family based variability in protein family expansion. | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1504/IJBRA.2013.052473 | |
| dc.subject.hal | Informatique [cs]/Bio-informatique [q-bio.QM] | |
| dc.subject.hal | Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM] | |
| bordeaux.journal | International Journal of Bioinformatics Research and Applications | |
| bordeaux.page | 121-33 | |
| bordeaux.volume | 9 | |
| bordeaux.hal.laboratories | Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 | * |
| bordeaux.issue | 2 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00857374 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00857374v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Bioinformatics%20Research%20and%20Applications&rft.date=2013&rft.volume=9&rft.issue=2&rft.spage=121-33&rft.epage=121-33&rft.eissn=1744-5485&rft.issn=1744-5485&rft.au=SARKAR,%20Anasua&NIKOLSKI,%20Macha&DURRENS,%20Pascal&rft.genre=article |
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