ReviewEmerging topics in life sciences2021
Common computational tools for analyzing CRISPR screens.
Review in Emerging topics in life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Revealing genetic drivers of ovarian cancer and chemoresistance: insights from whole-genome CRISPR-knockout library screens.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data.Journal of visualized experiments : JoVE · 2025Article
- Genotype from Phenotype: Using CRISPR Screens to Dissect Lymphoma Biology.Methods in molecular biology (Clifton, N.J.) · 2025Article
- The rise and future of CRISPR-based approaches for high-throughput genomics.FEMS microbiology reviews · 2024Review
- Stress-free single-cell transcriptomic profiling and functional genomics of murine eosinophils.Nature protocols · 2024Review
- Untangling the Context-Specificity of Essential Genes by Means of Machine Learning: A Constructive Experience.Biomolecules · 2023Article
- Systems Medicine for Precise Targeting of Glioblastoma.Molecular biotechnology · 2023Review
- Use of CRISPR-based screens to identify mechanisms of chemotherapy resistance.Cancer gene therapy · 2023Review
- High-throughput CRISPR technology: a novel horizon for solid organ transplantation.Frontiers in immunology · 2023Review
- Review
- High-content CRISPR screening in tumor immunology.Frontiers in immunology · 2022Review
- The application of genome-wide CRISPR-Cas9 screens to dissect the molecular mechanisms of toxins.Computational and structural biotechnology journal · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
CRISPR-Cas technology offers a versatile toolbox for genome editing, with applications in various cancer-related fields such as functional genomics, immunotherapy, synthetic lethality and drug resistance, metastasis, genome regulation, chromatic accessibility and RNA-targeting. The variety of screening platforms and questions in which they are used have caused the development of a wide array of analytical methods for CRISPR analysis. In this review, we focus on the algorithms and frameworks used in the computational analysis of pooled CRISPR knockout (KO) screens and highlight some of the most significant target discoveries made using these methods. Lastly, we offer perspectives on the design and analysis of state-of-art multiplex screening for genetic interactions.
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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.