ReviewGenome biology2020
A benchmark of algorithms for the analysis of pooled CRISPR screens.
Review in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 83 citations in OpenAlex.
- CRISPRing through time: How cutting-edge technology is revolutionizing life sciences and medicine.Molecular therapy. Nucleic acids · 2026Review
- High-Content CRISPR Screening: Methods and Applications.MedComm · 2026Review
- Article
- Genome scale CRISPRi reveals both shared and strain-specific vulnerabilities in genetically diverse drug-resistant strains of Mycobacterium tuberculosis.Nature communications · 2026Article
- simCRISPR: Modeling Experimental Complexity in Pooled CRISPR Screens.bioRxiv : the preprint server for biology · 2026Article
- Scaling perturbations: beyond genome-scale CRISPR screens.bioRxiv : the preprint server for biology · 2026Article
- CRISPR-MI and scRNA-Seq Reveal TREM2's Function in Monocyte Infiltration and Macrophage Apoptosis During Abdominal Aortic Aneurysm Development.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Systematic genome-wide mapping of host determinants of bacteriophage infectivity.Cell systems · 2025Article
- Revealing genetic drivers of ovarian cancer and chemoresistance: insights from whole-genome CRISPR-knockout library screens.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- From Microbial Switches to Metabolic Sensors: Rewiring the Gut-Brain Kynurenine Circuit.Biomedicines · 2025Review
- miRNA biomarkers: advancing early detection of acute myocardial infarction.Mikrochimica acta · 2025Review
- Shared host genetic landscape of respiratory viral infection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Genome-scale CRISPR-Cas9 screening in stem cells: theories, applications and challenges.Stem cell research & therapy · 2024Review
- A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.Genome biology · 2024Article
- Genome-wide Cas9-mediated screening of essential non-coding regulatory elements via libraries of paired single-guide RNAs.Nature biomedical engineering · 2024Article
- CRISPRi functional genomics in bacteria and its application to medical and industrial research.Microbiology and molecular biology reviews : MMBR · 2024Review
- PitViper: a software for comparative meta-analysis and annotation of functional screening data.NAR genomics and bioinformatics · 2024Article
- mBARq: a versatile and user-friendly framework for the analysis of DNA barcodes from transposon insertion libraries, knockout mutants, and isogenic strain populations.Bioinformatics (Oxford, England) · 2024Article
- A statistical simulation model to guide the choices of analytical methods in arrayed CRISPR screen experiments.PloS one · 2024Article
- Long noncoding RNA study: Genome-wide approaches.Genes & diseases · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Genome-wide pooled CRISPR-Cas-mediated knockout, activation, and repression screens are powerful tools for functional genomic investigations. Despite their increasing importance, there is currently little guidance on how to design and analyze CRISPR-pooled screens. Here, we provide a review of the commonly used algorithms in the computational analysis of pooled CRISPR screens. We develop a comprehensive simulation framework to benchmark and compare the performance of these algorithms using both synthetic and real datasets. Our findings inform parameter choices of CRISPR screens and provide guidance to researchers on the design and analysis of pooled CRISPR screens.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.