Evidence map›Paper›PMID 37253059›Full record

ArticlePLoS computational biology2023

CRISPR-Analytics (CRISPR-A): A platform for precise analytics and simulations for gene editing.

Marta Sanvicente-García, Albert García-Valiente, Socayna Jouide, Jessica Jaraba-Wallace, Eric Bautista, Marc Escobosa, Avencia Sánchez-Mejías, Marc Güell

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Genome research · 2025
    Article
  5. Article
  6. Article
  7. 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

8 authors.

Marta Sanvicente-GarcíaDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID 0000-0002-4508-2834
Albert García-ValienteDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Socayna JouideFaculty of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain.
Jessica Jaraba-WallaceDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Eric BautistaDepartment of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Marc EscobosaDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Avencia Sánchez-MejíasDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Marc GüellDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene editing characterization with currently available tools does not always give precise relative proportions among the different types of gene edits present in an edited bulk of cells. We have developed CRISPR-Analytics, CRISPR-A, which is a comprehensive and versatile genome editing web application tool and a nextflow pipeline to give support to gene editing experimental design and analysis. CRISPR-A provides a robust gene editing analysis pipeline composed of data analysis tools and simulation. It achieves higher accuracy than current tools and expands the functionality. The analysis includes mock-based noise correction, spike-in calibrated amplification bias reduction, and advanced interactive graphics. This expanded robustness makes this tool ideal for analyzing highly sensitive cases such as clinical samples or experiments with low editing efficiencies. It also provides an assessment of experimental design through the simulation of gene editing results. Therefore, CRISPR-A is ideal to support multiple kinds of experiments such as double-stranded DNA break-based engineering, base editing (BE), primer editing (PE), and homology-directed repair (HDR), without the need of specifying the used experimental approach.

Indexed as

CRISPR-Cas SystemsGene EditingClustered Regularly Interspaced Short Palindromic RepeatsDNA Breaks, Double-StrandedRecombinational DNA Repair

Identifiers

PMID37253059
PMCPMC10256225

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.