ReviewCells2020
Computational Tools and Resources Supporting CRISPR-Cas Experiments.
Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 55 citations in OpenAlex.
- CRISPR/Cas9-based nanodelivery systems for precision gene editing in neuroinflammation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Review
- Functional analysis of AKT1 knockout in fibrosarcoma cells using CRISPR/Cas9 technology.Journal of human genetics · 2026Article
- Deep learning-driven prediction of on-target activity, off-target risk, and repair outcomes in CRISPR/Cas9: current landscape and multi-scale perspectives.Journal of translational medicine · 2026Review
- Tapping the microalgal potential: genetic precision and stress-induction for enhanced astaxanthin and biofuel production.Biotechnology for biofuels and bioproducts · 2025Review
- Unravelling fungal genome editing revolution: pathological and biotechnological application aspects.Archives of microbiology · 2025Review
- Review
- Structure-optimized sgRNA selection with PlatinumCRISPr for efficient Cas9 generation of knockouts.Genome research · 2024Article
- Codon usage and expression-based features significantly improve prediction of CRISPR efficiency.NPJ systems biology and applications · 2024Article
- Strong association between genomic 3D structure and CRISPR cleavage efficiency.PLoS computational biology · 2024Article
- Expanding the Toolbox for Genetic Manipulation inJournal of fungi (Basel, Switzerland) · 2024Article
- Emerging Gene Therapeutics for Epidermolysis Bullosa under Development.International journal of molecular sciences · 2024Review
- Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA.PloS one · 2024Article
- SynBioTools: a one-stop facility for searching and selecting synthetic biology tools.BMC bioinformatics · 2023Article
- Online Databases of Genome Editing in Cardiovascular and Metabolic Diseases.Advances in experimental medicine and biology · 2023Article
- SynBioStrainFinder: A microbial strain database of manually curated CRISPR/Cas genetic manipulation system information for biomanufacturing.Microbial cell factories · 2022Article
- CRISPRi for specific inhibition of miRNA clusters and miRNAs with high sequence homology.Scientific reports · 2022Article
- CRISPR somatic genome engineering and cancer modeling in the mouse pancreas and liver.Nature protocols · 2022Review
- Tips, Tricks, and Potential Pitfalls of CRISPR Genome Editing inFrontiers in bioengineering and biotechnology · 2022Review
- Molecular and Computational Strategies to Increase the Efficiency of CRISPR-Based Techniques.Frontiers in plant science · 2022Review
- Optimizing CRISPR/Cas9 Editing of Repetitive Single Nucleotide Variants.Frontiers in genome editing · 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
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The CRISPR-Cas system has become a cutting-edge technology that revolutionized genome engineering. The use of Cas9 nuclease is currently the method of choice in most tasks requiring a specific DNA modification. The rapid development in the field of CRISPR-Cas is reflected by the constantly expanding ecosystem of computational tools aimed at facilitating experimental design and result analysis. The first group of CRISPR-Cas-related tools that we review is dedicated to aid in guide RNA design by prediction of their efficiency and specificity. The second, relatively new group of tools exploits the observed biases in repair outcomes to predict the results of CRISPR-Cas edits. The third class of tools is developed to assist in the evaluation of the editing outcomes by analysis of the sequencing data. These utilities are accompanied by relevant repositories and databases. Here we present a comprehensive and updated overview of the currently available CRISPR-Cas-related tools, from the perspective of a user who needs a convenient and reliable means to facilitate genome editing experiments at every step, from the guide RNA design to analysis of editing outcomes. Moreover, we discuss the current limitations and challenges that the field must overcome for further improvement in the CRISPR-Cas endeavor.
Indexed as
Identifiers
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.