Finding evidence in research publications
Date: 10 - 11 September 2019
This workshop introduces tools and approaches used to discover biologically relevant data in the research literature. Participants will be introduced to the basics of programmatic analysis of scientific literature and explore the principles of dictionary-based text-mining, explained using relevant case studies. The workshop has a strong focus on practical exercises and group project work to give participants hands-on experience, tackling biologically relevant problems based on what they have learnt in this workshop.
Do you want to identify publicly available datasets cited in research literature to use them in your future analyses? Do you want to develop basic skills to programmatically access and analyse scientific literature? Do you want to learn about the basics of text analytics to make the most of literature review?
Published research contains a wealth of new data and evidence. Automating literature review and text analysis can help extract valuable knowledge from millions of research publications. Modern tools for literature analysis can help you identify potential drug targets, predict host-pathogen interactions, or infer growth regulators for crops, based on published findings.
Venue: European Bioinformatics Institute Hinxton
Region: Cambridge
Country: United Kingdom
Postcode: CB10 1SD
Target audience: This workshop is aimed at life science researchers, who are interested in extracting data and evidence from research literature. It will help those who want to identify cited datasets for reuse, further analyses, background research, or as supporting data for own hypotheses. The workshop would also be of interest to those who are applying or planning to apply literature analysis/text-mining in their own research projects. Participants will benefit from an undergraduate level knowledge of biology. Participants should ideally have some bioinformatics experience and/or basic understanding of programmatic access. Please note that this workshop requires no prior knowledge of text analytics or computer programming skills. Regardless of your current knowledge, we encourage participants to explore this short series of recorded webinars on an introduction to programmatic access.
Capacity: 30
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