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TEfinder: A Bioinformatics Pipeline for Detecting New Transposable Element Insertion Events in Next-Generation Sequencing Data.
Sohrab, Vista; López-Díaz, Cristina; Di Pietro, Antonio; Ma, Li-Jun; Ayhan, Dilay Hazal.
Afiliação
  • Sohrab V; Department of Biochemistry and Molecular Biology, University of Massachusetts Amherst, Amherst, MA 01003, USA.
  • López-Díaz C; Departamento de Genética, Universidad de Córdoba, 14071 Córdoba, Spain.
  • Di Pietro A; Departamento de Genética, Universidad de Córdoba, 14071 Córdoba, Spain.
  • Ma LJ; Department of Biochemistry and Molecular Biology, University of Massachusetts Amherst, Amherst, MA 01003, USA.
  • Ayhan DH; Molecular and Cellular Biology Graduate Program, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Genes (Basel) ; 12(2)2021 02 04.
Article em En | MEDLINE | ID: mdl-33557410
Transposable elements (TEs) are mobile elements capable of introducing genetic changes rapidly. Their importance has been documented in many biological processes, such as introducing genetic instability, altering patterns of gene expression, and accelerating genome evolution. Increasing appreciation of TEs has resulted in a growing number of bioinformatics software to identify insertion events. However, the application of existing tools is limited by either narrow-focused design of the package, too many dependencies on other tools, or prior knowledge required as input files that may not be readily available to all users. Here, we reported a simple pipeline, TEfinder, developed for the detection of new TE insertions with minimal software and input file dependencies. The external software requirements are BEDTools, SAMtools, and Picard. Necessary input files include the reference genome sequence in FASTA format, an alignment file from paired-end reads, existing TEs in GTF format, and a text file of TE names. We tested TEfinder among several evolving populations of Fusarium oxysporum generated through a short-term adaptation study. Our results demonstrate that this easy-to-use tool can effectively detect new TE insertion events, making it accessible and practical for TE analysis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Elementos de DNA Transponíveis / Biologia Computacional / Sequenciamento de Nucleotídeos em Larga Escala Limite: Animals Idioma: En Revista: Genes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Elementos de DNA Transponíveis / Biologia Computacional / Sequenciamento de Nucleotídeos em Larga Escala Limite: Animals Idioma: En Revista: Genes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos