GuideScan software for improved single and paired CRISPR guide RNA design.

Journal: Nature biotechnology
Published Date: Apr 1, 2017

Abstract

We present GuideScan software for the design of CRISPR guide RNA libraries that can be used to edit coding and noncoding genomic regions. GuideScan produces high-density sets of guide RNAs (gRNAs) for single- and paired-gRNA genome-wide screens. We also show that the trie data structure of GuideScan enables the design of gRNAs that are more specific than those designed by existing tools.

Authors

  • Alexendar R Perez
    Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Yuri Pritykin
    Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
  • Joana A Vidigal
    Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Sagar Chhangawala
    Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Lee Zamparo
    Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Christina S Leslie
    Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Andrea Ventura
    Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

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