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SLFinder, a pipeline for the novel identification of splice-leader sequences: a good enough solution for a complex problem.
Calvelo, Javier; Juan, Hernán; Musto, Héctor; Koziol, Uriel; Iriarte, Andrés.
Afiliación
  • Calvelo J; Laboratorio de Biología Computacional, Departamento de Desarrollo Biotecnológico, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • Juan H; Unidad de Genómica Evolutiva, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
  • Musto H; Sección Biología Celular, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
  • Koziol U; Laboratorio de Biología Computacional, Departamento de Desarrollo Biotecnológico, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • Iriarte A; Unidad de Genómica Evolutiva, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
BMC Bioinformatics ; 21(1): 293, 2020 Jul 08.
Article en En | MEDLINE | ID: mdl-32640978
BACKGROUND: Spliced Leader trans-splicing is an important mechanism for the maturation of mRNAs in several lineages of eukaryotes, including several groups of parasites of great medical and economic importance. Nevertheless, its study across the tree of life is severely hindered by the problem of identifying the SL sequences that are being trans-spliced. RESULTS: In this paper we present SLFinder, a four-step pipeline meant to identify de novo candidate SL sequences making very few assumptions regarding the SL sequence properties. The pipeline takes transcriptomic de novo assemblies and a reference genome as input and allows the user intervention on several points to account for unexpected features of the dataset. The strategy and its implementation were tested on real RNAseq data from species with and without SL Trans-Splicing. CONCLUSIONS: SLFinder is capable to identify SL candidates with good precision in a reasonable amount of time. It is especially suitable for species with unknown SL sequences, generating candidate sequences for further refining and experimental validation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / ARN Lider Empalmado / Trans-Empalme Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Uruguay Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / ARN Lider Empalmado / Trans-Empalme Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Uruguay Pais de publicación: Reino Unido