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ASES: visualizing evolutionary conservation of alternative splicing in proteins.
Zea, Diego Javier; Richard, Hugues; Laine, Elodie.
Afiliación
  • Zea DJ; Laboratoire de Biologie Computationnelle et Quantitative (LCQB), CNRS, IBPS, Sorbonne Université, 75005 Paris, France.
  • Richard H; Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353 Berlin, Germany.
  • Laine E; Laboratoire de Biologie Computationnelle et Quantitative (LCQB), CNRS, IBPS, Sorbonne Université, 75005 Paris, France.
Bioinformatics ; 38(9): 2615-2616, 2022 04 28.
Article en En | MEDLINE | ID: mdl-35188186
SUMMARY: ASES is a versatile tool for assessing the impact of alternative splicing (AS), initiation and termination of transcription on protein diversity in evolution. It identifies exon and transcript orthogroups from a set of input genes/species for comparative transcriptomics analyses. It computes an evolutionary splicing graph, where the nodes are exon orthogroups, allowing for a direct evaluation of AS conservation. It also reconstructs a transcripts' phylogenetic forest to date the appearance of specific transcripts and explore the events that have shaped them. ASES web server features a highly interactive interface enabling the synchronous selection of events, exons or transcripts in the different outputs, and the visualization and retrieval of the corresponding amino acid sequences, for subsequent 3D structure prediction. AVAILABILITY AND IMPLEMENTATION: http://www.lcqb.upmc.fr/Ases. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas / Empalme Alternativo Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas / Empalme Alternativo Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Francia