ArticleBriefings in bioinformatics2013
The challenges of delivering bioinformatics training in the analysis of high-throughput data.
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 8 papers.
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.
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Who cites it
8 citing papers in PubMed.
- Organ-on-a-Chip Technology and Global Multi-Omics: Current Applications and Future Directions.MedComm · 2026Review
- Metagenomic sequencing sheds light on microbes putatively associated with pneumonia-related fatalities of white-tailed deer (Microbial genomics · 2024Article
- AXIOME3: Automation, eXtension, and Integration Of Microbial Ecology.GigaScience · 2021Article
- A global perspective on evolving bioinformatics and data science training needs.Briefings in bioinformatics · 2019Article
- Introduction to Genomic Analysis Workshop: A catalyst for engaging life-science researchers in high throughput analysis.F1000Research · 2019Article
- Article
- Training in High-Throughput Sequencing: Common Guidelines to Enable Material Sharing, Dissemination, and Reusability.PLoS computational biology · 2016Article
- The GOBLET training portal: a global repository of bioinformatics training materials, courses and trainers.Bioinformatics (Oxford, England) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
High-throughput technologies are widely used in the field of functional genomics and used in an increasing number of applications. For many 'wet lab' scientists, the analysis of the large amount of data generated by such technologies is a major bottleneck that can only be overcome through very specialized training in advanced data analysis methodologies and the use of dedicated bioinformatics software tools. In this article, we wish to discuss the challenges related to delivering training in the analysis of high-throughput sequencing data and how we addressed these challenges in the hands-on training courses that we have developed at the European Bioinformatics Institute.
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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.