Large multiple sequence alignments with a root-to-leaf regressive method.

Garriga, Edgar; Di Tommaso, Paolo; Magis, Cedrik; Erb, Ionas; Mansouri, Leila; Baltzis, Athanasios; Laayouni, Hafid; Kondrashov, Fyodor; Floden, Evan; Notredame, Cedric

Garriga, Edgar; Di Tommaso, Paolo; Magis, Cedrik; Erb, Ionas; Mansouri, Leila; Baltzis, Athanasios; Laayouni, Hafid; Kondrashov, Fyodor; Floden, Evan; Notredame, Cedric.

Affiliation

Garriga E; Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Di Tommaso P; Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Magis C; Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Erb I; Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Mansouri L; Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Baltzis A; Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Laayouni H; Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain.
Kondrashov F; Bioinformatics Studies, ESCI-UPF, Barcelona, Spain.
Floden E; Institute of Science and Technology, Klosterneuburg, Austria.
Notredame C; Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain. evan.floden@crg.eu.

Nat Biotechnol ; 37(12): 1466-1470, 2019 12.

Article de En | MEDLINE | ID: mdl-31792410

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Alignement de séquences Type d'étude: Diagnostic_studies Langue: En Journal: Nat Biotechnol Sujet du journal: BIOTECNOLOGIA Année: 2019 Type de document: Article Pays d'affiliation: Espagne

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