Evidence map›Paper›PMID 41417859›Full record

ArticlePLoS computational biology2025

Democratising high performance computing for bioinformatics through serverless cloud computing: A case study on CRISPR-Cas9 guide RNA design with Crackling Cloud.

Jacob Bradford, Divya Joy, Mattias Winsen, Nicholas Meurant, Mackenzie Wilkins, Laurence O W Wilson, Denis C Bauer, Dimitri Perrin

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jacob BradfordSchool of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane City, Queensland, Australia.ORCID 0000-0003-3619-5682
Divya JoySchool of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane City, Queensland, Australia.
Mattias WinsenSchool of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane City, Queensland, Australia.
Nicholas MeurantSchool of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane City, Queensland, Australia.
Mackenzie WilkinsSchool of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane City, Queensland, Australia.
Laurence O W WilsonAustralian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Sydney, New South Wales, Australia.
Denis C BauerApplied BioSciences, Faculty of Science and Engineering, Macquarie University, Macquarie Park, New South Wales, Australia.
Dimitri PerrinSchool of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane City, Queensland, Australia.

Funding

Australian Research CouncilCommonwealth Scientific and Industrial Research Organisation (CSIRO)
6 · The paper itself

Abstract

Organisations are challenged when meeting the computational requirements of large-scale bioinformatics analyses using their own resources. Cloud computing has democratised large-scale resources, and to reduce the barriers of working with large-scale compute, leading cloud vendors offer serverless computing, a low-maintenance and low-cost model that provides ample resources for highly scalable software applications. While serverless computing has broad use, its adoption in bioinformatics remains poor. Here, we demonstrate the most extensive use of high-performance serverless computing for bioinformatics by applying the available technologies to CRISPR-Cas9 guide RNA (gRNA) design. Our adaptation of the established gRNA design tool, named Crackling, implements a novel, cloud-native and serverless-based, high-performance computing environment using technologies made available by Amazon Web Services (AWS). The architecture, compatible with technologies from all leading cloud vendors, and the AWS implementation, contributes to an effort of reducing the barrier to large computational capacity in bioinformatics and for CRISPR-Cas9 gRNA design. Crackling Cloud can be deployed to any AWS account, and is freely available on GitHub under the BSD 3-clause license: https://github.com/bmds-lab/Crackling-AWS.

Indexed as

Cloud ComputingComputational BiologyCRISPR-Cas SystemsRNA, Guide, CRISPR-Cas SystemsSoftwareRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID41417859
PMCPMC12742744

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.