CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline | Zendy

Xuning Wang | Zendy; Charles Tilford | Zendy; Isaac Neuhaus | Zendy; Gabe Mintier | Zendy; Qi Guo | Zendy; John N. Feder | Zendy; Stefan Kirov | Zendy

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CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline

Author(s) -

Xuning Wang,

Charles Tilford,

Isaac Neuhaus,

Gabe Mintier,

Qi Guo,

John N. Feder,

Stefan Kirov

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx518

Subject(s) - crispr , computer science , pipeline (software) , indel , visualization , computational biology , biology , gene , data mining , genetics , operating system , single nucleotide polymorphism , genotype

The simplicity and precision of CRISPR/Cas9 system has brought in a new era of gene editing. Screening for desired clones with CRISPR-mediated genomic edits in a large number of samples is made possible by next generation sequencing (NGS) due to its multiplexing. Here we present CRISPR-DAV (CRISPR Data Analysis and Visualization) pipeline to analyze the CRISPR NGS data in a high throughput manner. In the pipeline, Burrows-Wheeler Aligner and Assembly Based ReAlignment are used for small and large indel detection, and results are presented in a comprehensive set of charts and interactive alignment view.

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