Detalhe da pesquisa
1.
Multiple sequence alignment modeling: methods and applications.
Brief Bioinform
; 17(6): 1009-1023, 2016 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-26615024
2.
PSI/TM-Coffee: a web server for fast and accurate multiple sequence alignments of regular and transmembrane proteins using homology extension on reduced databases.
Nucleic Acids Res
; 44(W1): W339-43, 2016 07 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-27106060
3.
An improved understanding of TNFL/TNFR interactions using structure-based classifications.
Trends Biochem Sci
; 37(9): 353-63, 2012 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-22789664
4.
T-RMSD: a web server for automated fine-grained protein structural classification.
Nucleic Acids Res
; 41(Web Server issue): W358-62, 2013 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-23716642
5.
Multiple Sequence Alignment Computation Using the T-Coffee Regressive Algorithm Implementation.
Methods Mol Biol
; 2231: 89-97, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33289888
6.
Large multiple sequence alignments with a root-to-leaf regressive method.
Nat Biotechnol
; 37(12): 1466-1470, 2019 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31792410
7.
[Nextflow, an efficient tool to improve computation numerical stability in genomic analysis]. / Nextflow : un outil efficace pour l'amélioration de la stabilité numérique des calculs en analyse génomique.
Biol Aujourdhui
; 211(3): 233-237, 2017.
Artigo
em Francês
| MEDLINE | ID: mdl-29412134
8.
T-Coffee: Tree-based consistency objective function for alignment evaluation.
Methods Mol Biol
; 1079: 117-29, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24170398
9.
Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures.
Nat Protoc
; 6(11): 1669-82, 2011 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-21979275
10.
T-RMSD: a fine-grained, structure-based classification method and its application to the functional characterization of TNF receptors.
J Mol Biol
; 400(3): 605-17, 2010 Jul 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-20471393