IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
Training Material aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.
Keywords: Proteomics
Resource type: Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
https://gtpb.github.io/IBIP19/
http://tess.elixir-uk.org/materials/ibip19-integrative-biological-interpretation-using-proteomics-2019
Training Material aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.
The Gulbenkian Training Programme in Bioinformatics
David Bouyssié
Veit Schwämmle
Marc Vaudel
Proteomics
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
Bioinformatics Summer School 2019
This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...
Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics
Operations: Data handling
Bioinformatics Summer School 2019
https://uclouvain-cbio.github.io/BSS2019/#schedule
http://tess.elixir-uk.org/materials/bioinformatics-summer-school-2019
This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills.
Martin Morgan
Laurent Gatto
Janick Mathys
Lieven Clement
Charlotte Soneson
Koen Van den Berge
Oliver Crook
Statistics and probability
Omics
RNA-Seq
Proteomics
PhD students
