Evidence map›Paper›PMID 39874385›Full record

ArticlePLoS computational biology2025

Ten simple rules to complete successfully a computational MSc thesis project.

Edoardo Saccenti, Cristina Furlan

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Edoardo SaccentiLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, the Netherlands.ORCID 0000-0001-8284-4829
Cristina FurlanLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, the Netherlands.ORCID 0000-0003-1416-3647

Funding

PerMed Joint Transnational call JTC 2018The Netherlands Organisation for Health Research and DevelopmentWageningen University & Research
6 · The paper itself

Abstract

The thesis project is an essential step to obtain an MSc degree. Within STEM and Life Sciences disciplines, computational theses have specific characteristics that differentiate them from wet laboratory ones. In this article, we present Ten simple rules to direct and support Master students who are about to start a computational research project for their Master thesis. We begin by recommending defining the personal learning goals for the project; we then highlight specific pitfalls that computational students might encounter during their work, such as procrastination by computation or wasting time while attempting to reinvent computational tools. We provide the students a series of suggestions on how to work following FAIR principles, learn new computing languages, and think ahead for computational challenges. We hope that these 10 simple rules will provide Master students with a framework for the successful completion of their computational thesis.

Indexed as

Computational BiologyEducation, GraduateHumansStudents

Identifiers

PMID39874385
PMCPMC11774343

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.