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Auto-phylo v2 and auto-phylo-pipeliner: building advanced, flexible, and reusable pipelines for phylogenetic inferences, estimation of variability levels and identification of positively selected amino acid sites.
López-Fernández, Hugo; Pinto, Miguel; Vieira, Cristina P; Duque, Pedro; Reboiro-Jato, Miguel; Vieira, Jorge.
Afiliação
  • López-Fernández H; CINBIO, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, Universidade de Vigo, 32004 Ourense, Spain.
  • Pinto M; SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain.
  • Vieira CP; 26706 Instituto de Investigação e Inovação em Saúde (I3S), Universidade do Porto , Rua Alfredo Allen, 208, 4200-135 Porto, Portugal.
  • Duque P; 26706 Faculdade de Ciências da Universidade do Porto (FCUP) , Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal.
  • Reboiro-Jato M; 26706 Instituto de Investigação e Inovação em Saúde (I3S), Universidade do Porto , Rua Alfredo Allen, 208, 4200-135 Porto, Portugal.
  • Vieira J; Instituto de Biologia Molecular e Celular (IBMC), Rua Alfredo Allen, 208, 4200-135 Porto, Portugal.
J Integr Bioinform ; 2024 Mar 27.
Article em En | MEDLINE | ID: mdl-38529929
ABSTRACT
The vast amount of genome sequence data that is available, and that is predicted to drastically increase in the near future, can only be efficiently dealt with by building automated pipelines. Indeed, the Earth Biogenome Project will produce high-quality reference genome sequences for all 1.8 million named living eukaryote species, providing unprecedented insight into the evolution of genes and gene families, and thus on biological issues. Here, new modules for gene annotation, further BLAST search algorithms, further multiple sequence alignment methods, the adding of reference sequences, further tree rooting methods, the estimation of rates of synonymous and nonsynonymous substitutions, and the identification of positively selected amino acid sites, have been added to auto-phylo (version 2), a recently developed software to address biological problems using phylogenetic inferences. Additionally, we present auto-phylo-pipeliner, a graphical user interface application that further facilitates the creation and running of auto-phylo pipelines. Inferences on S-RNase specificity, are critical for both cross-based breeding and for the establishment of pollination requirements. Therefore, as a test case, we develop an auto-phylo pipeline to identify amino acid sites under positive selection, that are, in principle, those determining S-RNase specificity, starting from both non-annotated Prunus genomes and sequences available in public databases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Integr Bioinform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Integr Bioinform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha
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