Artículo
Seqrutinator: scrutiny of large protein superfamily sequence datasets for the identification and elimination of non-functional homologues
Amalfitano, Agustín
; Stocchi, Nicolas
; Atencio, Hugo Marcelo; Villarreal, Fernando Daniel
; Ten Have, Arjen
; Stocchi, Nicolas
; Atencio, Hugo Marcelo; Villarreal, Fernando Daniel
; Ten Have, Arjen
Fecha de publicación:
08/2024
Editorial:
BioMed Central
Revista:
Genome Biology
ISSN:
1474-760X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Seqrutinator is an objective, flexible pipeline that removes sequences with sequencing and/or gene model errors and sequences from pseudogenes from complex, eukaryotic protein superfamilies. Testing Seqrutinator on major superfamilies BAHD, CYP, and UGT removes only 1.94% of SwissProt entries, 14% of entries from the model plant Arabidopsis thaliana, but 80% of entries from Pinus taeda’s recent complete proteome. Application of Seqrutinator on crude BAHDomes, CYPomes, and UGTomes obtained from 16 plant proteomes shows convergence of the numbers of paralogues. MSAs, phylogenies, and particularly functional clustering improve drastically upon Seqrutinator application, indicating good performance.
Palabras clave:
Sequence analysis
,
Sequence mining
,
Clustering
,
Bioinformatics
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Articulos(ICYTE)
Articulos de INSTITUTO DE INVESTIGACIONES CIENTIFICAS Y TECNOLOGICAS EN ELECTRONICA
Articulos de INSTITUTO DE INVESTIGACIONES CIENTIFICAS Y TECNOLOGICAS EN ELECTRONICA
Articulos(IIB)
Articulos de INSTITUTO DE INVESTIGACIONES BIOLOGICAS
Articulos de INSTITUTO DE INVESTIGACIONES BIOLOGICAS
Citación
Amalfitano, Agustín; Stocchi, Nicolas; Atencio, Hugo Marcelo; Villarreal, Fernando Daniel; Ten Have, Arjen; Seqrutinator: scrutiny of large protein superfamily sequence datasets for the identification and elimination of non-functional homologues; BioMed Central; Genome Biology; 25; 1; 8-2024; 1-23
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