ArticleGenome research2019
Beta-binomial modeling of CRISPR pooled screen data identifies target genes with greater sensitivity and fewer false negatives.
Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- CRISPR screening identifies TRIM27 as a destabilizer of the Smith-Magenis syndrome protein RAI1.Genetics · 2026Article
- Histone deacetylase enzyme activity is not the universal anticancer target of HDAC inhibitors.Signal transduction and targeted therapy · 2026Article
- Peroxisome-derived ether lipids regulate lysosomal exocytosis.The EMBO journal · 2026Article
- Article
- Minute amounts of helicase-deficient truncated RECQL4 are sufficient for DNA replication.EMBO reports · 2026Article
- CRISPR knockout screens reveal genes and pathways essential for neuronal differentiation and implicate PEDS1 in neurodevelopment.Nature neuroscience · 2026Article
- Druggable genome CRISPR screening identifies the KEAP1/NRF2 axis as a mediator of PD-L1 expression.Communications biology · 2025Article
- CRISPR-GATE: a one-stop repository and guide to computational resources for genome editing experimentation.Briefings in bioinformatics · 2025Review
- Systematic comparison and base-editing-mediated directed protein evolution and functional screening yield superior auxin-inducible degron technology.Nature communications · 2025Article
- CRISPR GENome and epigenome engineering improves loss-of-function genetic-screening approaches.Cell reports methods · 2025Article
- Phagosomal RNA sensing through TLR8 controls susceptibility to tuberculosis.Cell reports · 2025Article
- Pooled tagging and hydrophobic targeting of endogenous proteins for unbiased mapping of unfolded protein responses.Molecular cell · 2025Article
- High PRMT5 levels, maintained by KEAP1 inhibition, drive chemoresistance in high-grade serous ovarian cancer.The Journal of clinical investigation · 2025Article
- GGNBP2 regulates MDA5 sensing triggered by self double-stranded RNA following loss of ADAR1 editing.Science immunology · 2024Article
- Pooled endogenous protein tagging and recruitment for systematic profiling of protein function.Cell genomics · 2024Article
- Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification.Nature genetics · 2024Article
- Long noncoding RNA study: Genome-wide approaches.Genes & diseases · 2023Review
- Computational Tools and Resources for CRISPR/Cas Genome Editing.Genomics, proteomics & bioinformatics · 2023Review
- CRISPR Activation/Interference Screen to Identify Genetic Networks in HDAC-Inhibitor-Resistant Cells.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Bioinformatics approaches to analyzing CRISPR screen data: from dropout screens to single-cell CRISPR screens.Quantitative biology (Beijing, China) · 2022Article
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.
Funding
Abstract
The simplicity and cost-effectiveness of CRISPR technology have made high-throughput pooled screening approaches accessible to virtually any laboratory. Analyzing the large sequencing data derived from these studies, however, still demands considerable bioinformatics expertise. Various methods have been developed to lessen this requirement, but there are still three tasks for accurate CRISPR screen analysis that involve bioinformatic know-how, if not prowess: designing a proper statistical hypothesis test for robust target identification, developing an accurate mapping algorithm to quantify sgRNA levels, and minimizing the parameters that need to be fine-tuned. To make CRISPR screen analysis more reliable as well as more readily accessible, we have developed a new algorithm, called CRISPRBetaBinomial or CB
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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.