Unknown

Dataset Information

0

HiTSelect: a comprehensive tool for high-complexity-pooled screen analysis.


ABSTRACT: 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 HiTSelect, 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 executables are available at http://sourceforge.net/projects/hitselect/, and the source code is available at https://github.com/diazlab/HiTSelect.

SUBMITTER: Diaz AA 

PROVIDER: S-EPMC4330337 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

HiTSelect: a comprehensive tool for high-complexity-pooled screen analysis.

Diaz Aaron A AA   Qin Han H   Ramalho-Santos Miguel M   Song Jun S JS  

Nucleic acids research 20141126 3


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 HiTSelect, a comprehensive analysis pipeline for rigorously selecting screen hits and identifying f  ...[more]

Similar Datasets

| S-EPMC5517520 | biostudies-literature
| S-EPMC1388242 | biostudies-literature
| S-EPMC7025521 | biostudies-literature
| S-EPMC8589729 | biostudies-literature
| S-EPMC4699365 | biostudies-literature
| S-EPMC6533236 | biostudies-literature
| S-EPMC5477503 | biostudies-literature
| S-EPMC6555845 | biostudies-literature
| S-EPMC10572646 | biostudies-literature
| S-EPMC3219565 | biostudies-literature