Evidence map›Paper›PMID 40761563›Full record

ReviewFrontiers in plant science2025

Unlocking the potential of CRISPR tools and databases for precision genome editing.

Pooja Saraswat, Rajiv Ranjan

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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.

Pooja SaraswatDepartment of Botany, Faculty of Science, Dayalbagh Educational Institute, Agra, Uttar Pradesh, India.
Rajiv RanjanDepartment of Botany, Faculty of Science, Dayalbagh Educational Institute, Agra, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent breakthroughs in CRISPR/Cas genome editing have transformed molecular biology research and offer significant potential across biotechnology and medicine. This has created a broad spectrum of computational tools and databases that aim to optimize each phase of the genome-edited workflow, from guide RNA design and off-target prediction through screening analysis and biological validation. Here, we survey major CRISPR tools and analyse their features in the context of precision genome editing. CRISPOR and CHOPCHOP versatile platform that provides robust guide RNA design for several species, integrated off-target scoring, and intuitive genomic locus visualization. This review gives an overview of these new resources that have been developed, grouped based on their functionalities like design of guide RNA, off-target predictions, genome-wide screens, and visualizations of the data. Furthermore, we discuss new trends in database development like their integration with genome browsers and implementation of machine learning. This review thus gives a useful overview of the dynamic field of CRISPR/Cas genome editing tools. It also serves as a helpful guide for researchers looking to utilize these tools in their research.

Indexed as

computational toolsCRISPR/Casdatabasesgenome editingguide RNA designoff target prediction

Identifiers

PMID40761563
PMCPMC12319022

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.