ArticleBriefings in bioinformatics2013
Best practices in bioinformatics training for life scientists.
Article in Briefings in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
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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
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identifying Learning Preferences and Strategies in Health Data Science Courses: Systematic Review.JMIR medical education · 2024Pooled it
- A novel 'Blended Pedagogy' for integrating bioinformatics into the undergraduate medical curriculum: a pilot study on feasibility and student engagement.BMC medical education · 2026Article
- Ten simple rules for developing a training program.PLoS computational biology · 2025Article
- Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.Cell genomics · 2025Review
- Galaxy as a gateway to bioinformatics: Multi-Interface Galaxy Hands-on Training Suite (MIGHTS) for scRNA-seq.GigaScience · 2025Article
- The CABANA model 2017-2022: research and training synergy to facilitate bioinformatics applications in Latin America.Frontiers in education · 2024Article
- Partnering with health sciences libraries to address challenges in bioimaging data management and sharing.Histochemistry and cell biology · 2023Article
- Application of single-cell RNA sequencing on human testicular samples: a comprehensive review.International journal of biological sciences · 2023Review
- E-learning strategies from a bioinformatics postgraduate programme to improve student engagement and completion rate.Bioinformatics advances · 2022Article
- Project-based learning course on metabolic network modelling in computational systems biology.PLoS computational biology · 2022Article
- A constructivist-based proposal for bioinformatics teaching practices during lockdown.PLoS computational biology · 2021Article
- A Protocol for Teaching Basic Next Generation Sequencing (NGS) Analysis Skills to Undergraduate Students Using Bash and R.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Status of Bioinformatics Education in South Asia: Past and Present.BioMed research international · 2021Review
- Molecular Biology Information Service: an innovative medical library-based bioinformatics support service for biomedical researchers.Briefings in bioinformatics · 2020Review
- Ad hoc efforts for advancing data science education.PLoS computational biology · 2020Article
- Microbial community analysis using high-throughput sequencing technology: a beginner's guide for microbiologists.Journal of microbiology (Seoul, Korea) · 2020Article
- Integrating Molecular Biology and Bioinformatics Education.Journal of integrative bioinformatics · 2019Article
- A new pan-European Train-the-Trainer programme for bioinformatics: pilot results on feasibility, utility and sustainability of learning.Briefings in bioinformatics · 2019Article
- A global perspective on evolving bioinformatics and data science training needs.Briefings in bioinformatics · 2019Article
- Bioinformatics in the Netherlands: the value of a nationwide community.Briefings in bioinformatics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
The mountains of data thrusting from the new landscape of modern high-throughput biology are irrevocably changing biomedical research and creating a near-insatiable demand for training in data management and manipulation and data mining and analysis. Among life scientists, from clinicians to environmental researchers, a common theme is the need not just to use, and gain familiarity with, bioinformatics tools and resources but also to understand their underlying fundamental theoretical and practical concepts. Providing bioinformatics training to empower life scientists to handle and analyse their data efficiently, and progress their research, is a challenge across the globe. Delivering good training goes beyond traditional lectures and resource-centric demos, using interactivity, problem-solving exercises and cooperative learning to substantially enhance training quality and learning outcomes. In this context, this article discusses various pragmatic criteria for identifying training needs and learning objectives, for selecting suitable trainees and trainers, for developing and maintaining training skills and evaluating training quality. Adherence to these criteria may help not only to guide course organizers and trainers on the path towards bioinformatics training excellence but, importantly, also to improve the training experience for life scientists.
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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.