Data Analysis for High-Throughput RNAi Screening

David O Azorsa; Megan A Turnidge; Shilpi Arora

doi:10.1007/978-1-4939-6337-9_19

Data Analysis for High-Throughput RNAi Screening

Methods Mol Biol. 2016:1470:247-60. doi: 10.1007/978-1-4939-6337-9_19.

Authors

David O Azorsa^{1

2}, Megan A Turnidge^{3

4}, Shilpi Arora⁵

Affiliations

¹ Institute of Molecular Medicine, Phoenix Children's Hospital, Phoenix, AZ, USA. [email protected].
² Department of Child Health, University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA. [email protected].
³ Department of Child Health, University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA.
⁴ School of Life Sciences, Arizona State University, Tempe, AZ, USA.
⁵ Constellation Pharmaceuticals, Cambridge, MA, USA.

PMID: 27581298
DOI: 10.1007/978-1-4939-6337-9_19

Abstract

High-throughput RNA interference (HT-RNAi) screening is an effective technology to help identify important genes and pathways involved in a biological process. Analysis of high-throughput RNAi screening data is a critical part of this technology, and many analysis methods have been described. Here, we summarize the workflow and types of analyses commonly used in high-throughput RNAi screening.

Keywords: Data analysis; Normalization; RNAi screening.

MeSH terms

High-Throughput Screening Assays / methods*
Quality Control
RNA Interference*
RNA, Small Interfering
Workflow

Substances

RNA, Small Interfering