The challenges of delivering bioinformatics training in the analysis of high-throughput data.
Where this comes from
- Record sourced from PubMed, PMID 23543353.
- Also identified by DOI 10.1093/bib/bbt018 and PMC identifier 3771233.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.
Medical subject headings
- Computational Biology
- Genomics
- High-Throughput Nucleotide Sequencing