HiTSelect: A comprehensive tool for high-complexity-pooled screen analysis

Aaron A. Diaz, Han Qin, Miguel Ramalho-Santos, Jun S. Song

Research output: Contribution to journalArticlepeer-review


Genetic screens of an unprecedented scale have recently been made possible by the availability of high-complexity libraries of synthetic oligonucleotides designed to mediate either gene knockdown or gene knockout, coupled with next-generation sequencing. However, several sources of random noise and statistical biases complicate the interpretation of the resulting high-throughput data. We developed HiT-Select, a comprehensive analysis pipeline for rigorously selecting screen hits and identifying functionally relevant genes and pathways by addressing off-target effects, controlling for variance in both gene silencing efficiency and sequencing depth of coverage and integrating relevant metadata. We document the superior performance of HiTSelect using data from both genome-wide RNAi and CRISPR/Cas9 screens. HiTSelect is implemented as an open-source package, with a user-friendly interface for data visualization and pathway exploration. Binary executablesare available at http://sourceforge.net/projects/hitselect/, and the source code is available at https: //github.com/diazlab/HiTSelect.

Original languageEnglish (US)
Pages (from-to)e16
JournalNucleic acids research
Issue number3
StatePublished - Feb 18 2015

ASJC Scopus subject areas

  • Genetics


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