Evidence map›Paper›PMID 36227031›Full record

ArticleBioinformatics (Oxford, England)2022

Evaluation of efficiency prediction algorithms and development of ensemble model for CRISPR/Cas9 gRNA selection.

Yuhao Chen, Xiaowei Wang

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Establishment of CRISPR/Cas9 Genome Editing inJournal of fungi (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Epigenetic editing: from concept to clinic.Nature reviews. Drug discovery · 2026
    Review
  7. Tiny but powerful: protoplast isolation inFrontiers in plant science · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yuhao ChenDepartment of Pharmacology and Regenerative Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.
Xiaowei WangDepartment of Pharmacology and Regenerative Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.ORCID 0000-0001-9447-4685

Funding

MICRORNA BIOMARKERS FOR OROPHARYNGEAL CANCERR01DE026471 · NIDCR · WASHINGTON UNIVERSITY · PI WANG, XIAOWEI · 2017 to 2021
$2.2M
Combined Computational and Experimental Analyses of Gene Regulation by MicroRNAsR35GM141535 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI WANG, XIAOWEI · 2021 to 2025
$2.1M
NIDCR NIH HHS R01 DE026471NIGMS NIH HHS R35 GM141535
6 · The paper itself

Abstract

motivationThe CRISPR/Cas9 system is widely used for genome editing. The editing efficiency of CRISPR/Cas9 is mainly determined by the guide RNA (gRNA). Although many computational algorithms have been developed in recent years, it is still a challenge to select optimal bioinformatics tools for gRNA design in different experimental settings.

resultsWe performed a comprehensive comparison analysis of 15 public algorithms for gRNA design, using 16 experimental gRNA datasets. Based on this analysis, we identified the top-performing algorithms, with which we further implemented various computational strategies to build ensemble models for performance improvement. Validation analysis indicates that the new ensemble model had improved performance over any individual algorithm alone at predicting gRNA efficacy under various experimental conditions. AVAILABILITY AND IMPLEMENTATION: The new sgRNA design tool is freely accessible as a web application via https://crisprdb.org. The source code and stand-alone version is available at Figshare (https://doi.org/10.6084/m9.figshare.21295863) and Github (https://github.com/wang-lab/CRISPRDB). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

CRISPR-Cas SystemsRNA, Small UntranslatedAlgorithmsGene EditingSoftwareRNA, Small Untranslated

Identifiers

PMID36227031
PMCPMC9710549

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.