De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens
Tiling-sgRNA designs allow the in situ evaluation of protein domain functions. Here the authors present ProTiler - a computational method to predict CRISPR knockout hyper-sensitive regions, revealing previously unannotated domains.
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2019-10-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-12489-8 |
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doaj-8f9bec4646d34e8fa3bf3716402d60502021-05-11T12:34:37ZengNature Publishing GroupNature Communications2041-17232019-10-0110111010.1038/s41467-019-12489-8De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screensWei He0Liang Zhang1Oscar D. Villarreal2Rongjie Fu3Ella Bedford4Jingzhuang Dou5Anish Y. Patel6Mark T. Bedford7Xiaobing Shi8Taiping Chen9Blaine Bartholomew10Han Xu11Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterCenter for Epigenetics, Van Andel Research InstituteDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer CenterTiling-sgRNA designs allow the in situ evaluation of protein domain functions. Here the authors present ProTiler - a computational method to predict CRISPR knockout hyper-sensitive regions, revealing previously unannotated domains.https://doi.org/10.1038/s41467-019-12489-8 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei He Liang Zhang Oscar D. Villarreal Rongjie Fu Ella Bedford Jingzhuang Dou Anish Y. Patel Mark T. Bedford Xiaobing Shi Taiping Chen Blaine Bartholomew Han Xu |
spellingShingle |
Wei He Liang Zhang Oscar D. Villarreal Rongjie Fu Ella Bedford Jingzhuang Dou Anish Y. Patel Mark T. Bedford Xiaobing Shi Taiping Chen Blaine Bartholomew Han Xu De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens Nature Communications |
author_facet |
Wei He Liang Zhang Oscar D. Villarreal Rongjie Fu Ella Bedford Jingzhuang Dou Anish Y. Patel Mark T. Bedford Xiaobing Shi Taiping Chen Blaine Bartholomew Han Xu |
author_sort |
Wei He |
title |
De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_short |
De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_full |
De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_fullStr |
De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_full_unstemmed |
De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_sort |
de novo identification of essential protein domains from crispr-cas9 tiling-sgrna knockout screens |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2019-10-01 |
description |
Tiling-sgRNA designs allow the in situ evaluation of protein domain functions. Here the authors present ProTiler - a computational method to predict CRISPR knockout hyper-sensitive regions, revealing previously unannotated domains. |
url |
https://doi.org/10.1038/s41467-019-12489-8 |
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