Process / pipelineFunctional genomics

CRISPR Screen Analysis

CRISPR screen analysis processes data from pooled genetic screens using CRISPR-Cas9 to identify genes required for cell growth, survival, or phenotype in specific conditions. Developed by Zhang, Sanjana, and others, this computational pipeline transforms sequencing readouts of guide RNA abundances into ranked lists of functional genes.

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Sources

  1. Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., ... & Zhang, F. (2014). Genome-scale CRISPR-Cas9 knockout screening in human cells. Science, 343(6166), 84-87. DOI: 10.1126/science.1247005
  2. Hart, T., Chandrashekhar, M., Aregger, M., Steinhart, Z., Brown, K. R., MacLeod, G., ... & Moffat, J. (2015). High-resolution CRISPR screens reveal fitness genes and pathways. Molecular Systems Biology, 11(8), 820. DOI: 10.15252/msb.20145562
  3. King, J. B., Palmer, A. C., & Sorger, P. K. (2020). Application of a genetic algorithm designed for flexible objective optimization in pharmaceutical research and development. Cancer Research, 79(13 Supplement), 3435. link

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Referenced by

ScholarGateCRISPR Screen Analysis (CRISPR Screening Data Analysis and Hit Identification). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/crispr-screen-analysis