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TreeGrafter: phylogenetic tree-based annotation of proteins with Gene Ontology terms and other annotations.
Tang, Haiming; Finn, Robert D; Thomas, Paul D.
Afiliação
  • Tang H; Division of Bioinformatics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
  • Finn RD; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
  • Thomas PD; Division of Bioinformatics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Bioinformatics ; 35(3): 518-520, 2019 02 01.
Article em En | MEDLINE | ID: mdl-30032202
Summary: TreeGrafter is a new software tool for annotating protein sequences using pre-annotated phylogenetic trees. Currently, the tool provides annotations to Gene Ontology (GO) terms, and PANTHER family and subfamily. The approach is generalizable to any annotations that have been made to internal nodes of a reference phylogenetic tree. TreeGrafter takes each input query protein sequence, finds the best matching homologous family in a library of pre-calculated, pre-annotated gene trees, and then grafts it to the best location in the tree. It then annotates the sequence by propagating annotations from ancestral nodes in the reference tree. We show that TreeGrafter outperforms subfamily HMM scoring for correctly assigning subfamily membership, and that it produces highly specific annotations of GO terms based on annotated reference phylogenetic trees. This method will be further integrated into InterProScan, enabling an even broader user community. Availability and implementation: TreeGrafter is freely available on the web at https://github.com/pantherdb/TreeGrafter, including as a Docker image. Supplementary information: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Proteínas / Anotação de Sequência Molecular / Ontologia Genética Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Proteínas / Anotação de Sequência Molecular / Ontologia Genética Idioma: En Ano de publicação: 2019 Tipo de documento: Article