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INSTRAL: Discordance-Aware Phylogenetic Placement Using Quartet Scores.
Rabiee, Maryam; Mirarab, Siavash.
Afiliação
  • Rabiee M; Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA.
  • Mirarab S; Department of Electrical and Computer Engineering, UC, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Syst Biol ; 69(2): 384-391, 2020 03 01.
Article em En | MEDLINE | ID: mdl-31290974
Phylogenomic analyses have increasingly adopted species tree reconstruction using methods that account for gene tree discordance using pipelines that require both human effort and computational resources. As the number of available genomes continues to increase, a new problem is facing researchers. Once more species become available, they have to repeat the whole process from the beginning because updating species trees is currently not possible. However, the de novo inference can be prohibitively costly in human effort or machine time. In this article, we introduce INSTRAL, a method that extends ASTRAL to enable phylogenetic placement. INSTRAL is designed to place a new species on an existing species tree after sequences from the new species have already been added to gene trees; thus, INSTRAL is complementary to existing placement methods that update gene trees. [ASTRAL; ILS; phylogenetic placement; species tree reconstruction.].
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Software / Classificação / Análise de Sequência de DNA Idioma: En Revista: Syst Biol Assunto da revista: BIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Software / Classificação / Análise de Sequência de DNA Idioma: En Revista: Syst Biol Assunto da revista: BIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos