Training materials
Difficulty level: Intermediate
and Contributors: Daniel Blankenberg or Daniel Faria or Daniela Brites or David Bouyssié or Fabio Cumbo or Munazah Andrabi
-
hands-on tutorial
Sequence data submission to ENA
•• intermediateFAIR ENA sequence datasets -
hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
Video
RDMbites: Image data
•• intermediateimaging data management -
Video
RDMbites: Sequencing data
•• intermediatetranscriptomics FASTQ FastQC Sequencing -
hands-on tutorial
Hands-on for 'Identifying tuberculosis transmission links: from SNPs to transmission clusters' tutorial
•• intermediateevolution prokaryote one-health -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
•• intermediateRNA-Seq Genomics RNA
- 1
- 2