Evidence map›Paper›PMID 38475691›Full record

ArticleBMC bioinformatics2024

CREDO: a friendly Customizable, REproducible, DOcker file generator for bioinformatics applications.

Simone Alessandri, Maria L Ratto, Sergio Rabellino, Gabriele Piacenti, Sandro Gepiro Contaldo, Simone Pernice, Marco Beccuti, Raffaele A Calogero, Luca Alessandri

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Simone AlessandriPolytechnic of Turin, Turin, Italy.
Maria L RattoDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy.
Sergio RabellinoDepartment of Computer Science, University of Torino, Turin, Italy.
Gabriele PiacentiDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy.
Sandro Gepiro ContaldoDepartment of Computer Science, University of Torino, Turin, Italy.
Simone PerniceDepartment of Computer Science, University of Torino, Turin, Italy.
Marco BeccutiDepartment of Computer Science, University of Torino, Turin, Italy.
Raffaele A CalogeroDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy. raffaele.calogero@unito.it.
Luca AlessandriDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy.

Funding

National Centre for HPC, Big Data and Quantum Computing CN00000013
6 · The paper itself

Abstract

backgroundThe analysis of large and complex biological datasets in bioinformatics poses a significant challenge to achieving reproducible research outcomes due to inconsistencies and the lack of standardization in the analysis process. These issues can lead to discrepancies in results, undermining the credibility and impact of bioinformatics research and creating mistrust in the scientific process. To address these challenges, open science practices such as sharing data, code, and methods have been encouraged.

resultsCREDO, a Customizable, REproducible, DOcker file generator for bioinformatics applications, has been developed as a tool to moderate reproducibility issues by building and distributing docker containers with embedded bioinformatics tools. CREDO simplifies the process of generating Docker images, facilitating reproducibility and efficient research in bioinformatics. The crucial step in generating a Docker image is creating the Dockerfile, which requires incorporating heterogeneous packages and environments such as Bioconductor and Conda. CREDO stores all required package information and dependencies in a Github-compatible format to enhance Docker image reproducibility, allowing easy image creation from scratch. The user-friendly GUI and CREDO's ability to generate modular Docker images make it an ideal tool for life scientists to efficiently create Docker images. Overall, CREDO is a valuable tool for addressing reproducibility issues in bioinformatics research and promoting open science practices.

Indexed as

Computational BiologySoftwareReproducibility of ResultsBioinformaticsDockerOpen scienceReproducibilitySoftware sharing

Identifiers

PMID38475691
PMCPMC10935966

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.