Evidence map›Paper›PMID 40463406›Full record

ArticleBioinformatics advances2025

DRMAAtic: dramatically improve your cluster potential.

Alessio Del Conte, Hamidreza Ghafouri, Damiano Clementel, Ivan Mičetić, Damiano Piovesan, Silvio C E Tosatto, Alexander Miguel Monzon

Abstract read
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Alessio Del ConteDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.
Hamidreza GhafouriDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.
Damiano ClementelDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.
Ivan MičetićDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.
Damiano PiovesanDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.ORCID https://orcid.org/0000-0001-8210-2390
Silvio C E TosattoDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.ORCID https://orcid.org/0000-0003-4525-7793
Alexander Miguel MonzonDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.ORCID https://orcid.org/0000-0003-0362-8218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The accessibility and usability of high-performance computing (HPC) resources remain significant challenges in bioinformatics, particularly for researchers lacking extensive technical expertise. While Distributed Resource Managers (DRMs) optimize resource utilization, the complexities of interfacing with these systems often hinder broader adoption. DRMAAtic addresses these challenges by integrating the Distributed Resource Management Application API (DRMAA) with a user-friendly RESTful interface, simplifying job management across diverse HPC environments. This framework empowers researchers to submit, monitor, and retrieve computational jobs securely and efficiently, without requiring deep knowledge of underlying cluster configurations. Results: We present DRMAAtic, a flexible and scalable tool that bridges the gap between web interfaces and HPC infrastructures. Built on the Django REST Framework, DRMAAtic supports seamless job submission and management via HTTP calls. Its modular architecture enables integration with any DRM supporting DRMAA APIs and offers robust features such as role-based access control, throttling mechanisms, and dependency management. Successful applications of DRMAAtic include the RING web server for protein structure analysis, the CAID Prediction Portal for disorder and binding predictions, and the Protein Ensemble Database deposition server. These deployments demonstrate DRMAAtic's potential to enhance computational workflows, improve resource efficiency, and facilitate open science in life sciences. Availability and implementation: https://github.com/BioComputingUP/DRMAAtic, https://drmaatic.biocomputingup.it/.

Identifiers

PMID40463406
PMCPMC12133261

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.