ArticleF1000Research2017
ELIXIR-UK role in bioinformatics training at the national level and across ELIXIR.
Article in F1000Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development of a core competency framework for clinical informatics.BMJ health & care informatics · 2021Pooled it
- Community needs for FAIR pathogen data.bioRxiv : the preprint server for biology · 2026Article
- Guidance framework to apply best practices in ecological data analysis: lessons learned from building Galaxy-Ecology.GigaScience · 2025Article
- ENCORE: a practical implementation to improve reproducibility and transparency of computational research.Nature communications · 2024Article
- Deep learning for the PSIPRED Protein Analysis Workbench.Nucleic acids research · 2024Article
- Community curation of bioinformatics software and data resources.Briefings in bioinformatics · 2020Article
- TeSS: a platform for discovering life-science training opportunities.Bioinformatics (Oxford, England) · 2020Article
- The bio.tools registry of software tools and data resources for the life sciences.Genome biology · 2019Article
- The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR.F1000Research · 2019Article
- The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training.PloS one · 2019Article
- Community-Driven Data Analysis Training for Biology.Cell systems · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ELIXIR-UK is the UK node of ELIXIR, the European infrastructure for life science data. Since its foundation in 2014, ELIXIR-UK has played a leading role in training both within the UK and in the ELIXIR Training Platform, which coordinates and delivers training across all ELIXIR members. ELIXIR-UK contributes to the Training Platform's coordination and supports the development of training to address key skill gaps amongst UK scientists. As part of this work it acts as a conduit for nationally-important bioinformatics training resources to promote their activities to the ELIXIR community. ELIXIR-UK also leads ELIXIR's flagship Training Portal, TeSS, which collects information about a diverse range of training and makes it easily accessible to the community. ELIXIR-UK also works with others to provide key digital skills training, partnering with the Software Sustainability Institute to provide Software Carpentry training to the ELIXIR community and to establish the Data Carpentry initiative, and taking a lead role amongst national stakeholders to deliver the StaTS project - a coordinated effort to drive engagement with training in statistics.
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.