دورية أكاديمية

CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens

التفاصيل البيبلوغرافية
العنوان: CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens
المؤلفون: Timothy P. Daley, Zhixiang Lin, Xueqiu Lin, Yanxia Liu, Wing Hung Wong, Lei S. Qi
المصدر: Genome Biology, Vol 19, Iss 1, Pp 1-13 (2018)
بيانات النشر: BMC, 2018.
سنة النشر: 2018
المجموعة: LCC:Biology (General)
LCC:Genetics
مصطلحات موضوعية: CRISPR screen, CRISPR interference, CRISPR activation, sgRNA design, Mixture models, Local fdr, Biology (General), QH301-705.5, Genetics, QH426-470
الوصف: Abstract Pooled CRISPR screens allow researchers to interrogate genetic causes of complex phenotypes at the genome-wide scale and promise higher specificity and sensitivity compared to competing technologies. Unfortunately, two problems exist, particularly for CRISPRi/a screens: variability in guide efficiency and large rare off-target effects. We present a method, CRISPhieRmix, that resolves these issues by using a hierarchical mixture model with a broad-tailed null distribution. We show that CRISPhieRmix allows for more accurate and powerful inferences in large-scale pooled CRISPRi/a screens. We discuss key issues in the analysis and design of screens, particularly the number of guides needed for faithful full discovery.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1474-760X
Relation: http://link.springer.com/article/10.1186/s13059-018-1538-6; https://doaj.org/toc/1474-760X
DOI: 10.1186/s13059-018-1538-6
URL الوصول: https://doaj.org/article/cfe3404772dd4881b5deb3b9c5c449ba
رقم الأكسشن: edsdoj.fe3404772dd4881b5deb3b9c5c449ba
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1474760X
DOI:10.1186/s13059-018-1538-6