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CLIFinder: identification of LINE-1 chimeric transcripts in RNA-seq data.
Pinson, Marie-Elisa; Pogorelcnik, Romain; Court, Franck; Arnaud, Philippe; Vaurs-Barrière, Catherine.
Afiliação
  • Pinson ME; GReD, Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Pogorelcnik R; GReD, Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Court F; GReD, Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Arnaud P; GReD, Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Vaurs-Barrière C; GReD, Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
Bioinformatics ; 34(4): 688-690, 2018 02 15.
Article em En | MEDLINE | ID: mdl-29069308
Summary: L1 Chimeric Transcripts (LCTs) are initiated by repeated LINE-1 element antisense promoters and include the L1 5'UTR sequence in antisense orientation followed by the adjacent genomic region. LCTs have been characterized mainly using bioinformatics approaches to query dbEST. To take advantage of NGS data to unravel the transcriptome composition, we developed Chimeric LIne Finder (CLIFinder), a new bioinformatics tool. Using stranded paired-end RNA-seq data, we demonstrated that CLIFinder can identify genome-wide transcribed chimera sequences corresponding to potential LCTs. Moreover, CLIFinder can be adapted to study transcription from other repeat types. Availability and implementation: The code is available at: https://github.com/GReD-Clermont/CLIFinder; and for Galaxy users, it is directly accessible in the tool shed at: https://toolshed.g2.bx.psu.edu/view/clifinder/clifinder/. Contact: catherine.barriere@uca.fr. Supplementary information: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de RNA / Elementos Nucleotídeos Longos e Dispersos Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de RNA / Elementos Nucleotídeos Longos e Dispersos Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França País de publicação: Reino Unido