Open-source guideseq software for analysis of GUIDE-seq data

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Bibliographic Details
Published in:Nature biotechnology 2016-05, Vol.34 (5), p.483-483
Main Authors: Tsai, Shengdar Q, Topkar, Ved V, Joung, J Keith, Aryee, Martin J
Format: Article
Language:English
Subjects:
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Agriculture
Algorithms
Bioinformatics
Biomedical Engineering/Biotechnology
Biomedicine
Biotechnology
Clustered Regularly Interspaced Short Palindromic Repeats
Computer programs
correspondence
DNA sequencing
Genomes
High-Throughput Nucleotide Sequencing - methods
Internet
Life Sciences
Medical research
Methods
Nucleotide sequencing
Pathology
Programming Languages
Science
Sequence Analysis, DNA - methods
Software
Visualization
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ISSN:1087-0156
1546-1696
DOI:10.1038/nbt.3534