Training in High-Throughput Sequencing: Common Guidelines to Enable Material Sharing, Dissemination, and Reusability.
The advancement of high-throughput sequencing (HTS) technologies and the rapid development of numerous analysis algorithms and pipelines in this field has resulted in an unprecedentedly high demand for training scientists in HTS data analysis. Embarking on developing new training materials is challenging for many reasons. Trainers often do not have prior experience in preparing or delivering such materials and struggle to keep them up to date. A repository of curated HTS training materials would support trainers in materials preparation, reduce the duplication of effort by increasing the usage of existing materials, and allow for the sharing of teaching experience among the HTS trainers' community. To achieve this, we have developed a strategy for materials' curation and dissemination. Standards for describing training materials have been proposed and applied to the curation of existing materials. A Git repository has been set up for sharing annotated materials that can now be reused, modified, or incorporated into new courses. This repository uses Git; hence, it is decentralized and self-managed by the community and can be forked/built-upon by all users. The repository is accessible at http://bioinformatics.upsc.se/htmr.
Department of Plant Physiology, Umeå Plant Science Centre, Umeå University, Umeå, Sweden.
Bastian
B
Schiffthaler
Department of Haematology, University of Cambridge, Cambridge, United Kingdom.
Myrto
0000-0002-1818-4050
M
Kostadima
Department of Plant Physiology, Umeå Plant Science Centre, Umeå University, Umeå, Sweden.|Department of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Sciences, Umeå, Sweden.
Nicolas
0000-0002-3053-0796
N
Delhomme
School of Biological Sciences, Department of Genetics, University of Cambridge, Cambridge, United Kingdom.
Gabriella
0000-0003-3085-1271
G
Rustici
D000465:Algorithms; D019295:Computational Biology / Q000193:education*; D003627:Data Interpretation, Statistical; D004493:Education; D059014:High-Throughput Nucleotide Sequencing / Q000706:statistics & numerical data*; D006801:Humans; D013663:Teaching