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CRISPR-Cas bioinformatics.
Alkhnbashi, Omer S; Meier, Tobias; Mitrofanov, Alexander; Backofen, Rolf; Voß, Björn.
Afiliação
  • Alkhnbashi OS; Chair of Bioinformatics, University of Freiburg, Freiburg, Germany. Electronic address: alkhanbo@informatik.uni-freiburg.de.
  • Meier T; Computational Biology, Institute of Biochemical Engineering, University of Stuttgart, Stuttgart, Germany. Electronic address: tobias.meier@ibvt.uni-stuttgart.de.
  • Mitrofanov A; Chair of Bioinformatics, University of Freiburg, Freiburg, Germany. Electronic address: mitrofan@informatik.uni-freiburg.de.
  • Backofen R; Chair of Bioinformatics, University of Freiburg, Freiburg, Germany; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Germany. Electronic address: backofen@informatik.uni-freiburg.de.
  • Voß B; Computational Biology, Institute of Biochemical Engineering, University of Stuttgart, Stuttgart, Germany. Electronic address: bjoern.voss@ibvt.uni-stuttgart.de.
Methods ; 172: 3-11, 2020 02 01.
Article em En | MEDLINE | ID: mdl-31326596
ABSTRACT
Clustered regularly interspaced short palindromic repeats (CRISPR) and their associated proteins (Cas) are essential genetic elements in many archaeal and bacterial genomes, playing a key role in a prokaryote adaptive immune system against invasive foreign elements. In recent years, the CRISPR-Cas system has also been engineered to facilitate target gene editing in eukaryotic genomes. Bioinformatics played an essential role in the detection and analysis of CRISPR systems and here we review the bioinformatics-based efforts that pushed the field of CRISPR-Cas research further. We discuss the bioinformatics tools that have been published over the last few years and, finally, present the most popular tools for the design of CRISPR-Cas9 guides.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Sistemas CRISPR-Cas / Edição de Genes Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Sistemas CRISPR-Cas / Edição de Genes Idioma: En Ano de publicação: 2020 Tipo de documento: Article