ArticlePLoS computational biology2020
Improving reproducibility in computational biology research.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Flimma: a federated and privacy-aware tool for differential gene expression analysis.Genome biology · 2021Pooled it
- Ten simple rules for executing an inherited research plan in computational biology.PLoS computational biology · 2026Article
- Achieving inclusive healthcare through integrating education and research with AI and personalized curricula.Communications medicine · 2025Article
- ENCORE: a practical implementation to improve reproducibility and transparency of computational research.Nature communications · 2024Article
- A Practical Guide to Evaluating and Using Big Data in Digestive Disease Research.Gastroenterology · 2024Article
- Methodology for biomarker discovery with reproducibility in microbiome data using machine learning.BMC bioinformatics · 2024Article
- Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024Review
- Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications.Cancers · 2023Review
- Teaching systematic, reproducible model development using synthetic biology.Chemical engineering education · 2023Article
- EGAsubmitter: A software to automate submission of nucleic acid sequencing data to the European Genome-phenome Archive.Frontiers in bioinformatics · 2023Article
- A Practical Guide to Reproducible Modeling for Biochemical Networks.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Multi-scale models of whole cells: progress and challenges.Frontiers in cell and developmental biology · 2023Review
- Advancing code sharing in the computational biology community.PLoS computational biology · 2022Article
- Computational models in systems biology: standards, dissemination, and best practices.Current opinion in biotechnology · 2022Review
- The dynamic landscape of peptide activity prediction.Computational and structural biotechnology journal · 2022Review
- Addressing uncertainty in genome-scale metabolic model reconstruction and analysis.Genome biology · 2021Review
- Reproducibility in systems biology modelling.Molecular systems biology · 2021Article
- Computational Stem Cell Biology: Open Questions and Guiding Principles.Cell stem cell · 2021Review
- Article
- Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks.Computational and structural biotechnology journal · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.