Contributors: Alvaro Gonzalez or Lieven Clement
The concepts and methods are exclusively introduced via case-studies in the life sciences. For every study we elaborate on a concrete research question and then provide a study design, which is followed by data exploration. Next, we will focus on how to model the data and elaborate on the link...
This video describes a common framework for designing portable federated pipelines. The joint cohort genotyping pipeline is provided as a specific implementation example. The ability of the pipeline to run in different environments, accessing the data via different protocols, and applying the...
Scientific topics: Data architecture, analysis and design
Keywords: data access, federated data analysis
Resource type: Video
Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering peptide and protein identification, quantification,...
Keywords: Proteomics, Biological databases, Mass spectrometry data
Resource type: Documentation, Exercise, Handout, Scripts
Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering peptide and protein identification, quantification,...
Keywords: Proteomics, Biological databases, Mass spectrometry data
Resource type: Documentation, Exercise, Handout, Scripts
This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data...
Keywords: Statistics, General Linear Models
Resource type: Documentation, Exercise, Handout, Scripts
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
