Data analysis

Author(s): 
Alex Mitchell

EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as...

This is the second part of our functional genomics course. This course will introduce you to common technologies in functional genomics studies, including microarrays and next generation sequencing (NGS), with a special focus on RNA-sequencing (...

Author(s): 
Steffen Neumann

Metabolite identification is a crucial step when trying to understand e.g. the courses of a disease on the metabolomic level. In this webinar we will briefly introduce the MetFrag system and then focus on using MetFrag in Galaxy as part of the...

Author(s): 
Tim Ebbels

Metabolomic datasets are becoming increasingly large and complex, with multiple types of algorithms and workflows needed to process and analyse the data. This makes it difficult for researchers to make sense of their data without access to...

The PhenoMeNal Gateway is the portal to your own PhenoMeNal Cloud Research Environment (CRE) containing an array of essential metabolomics applications, all available through a user-friendly Galaxy workflow environment. This course will give you...

Author(s): 
Etienne Thévenot

Statistical analysis offers powerful approaches to mine complex and high-dimension datasets, find significant features, and build prediction models with high-prediction performance. Due to the high number of methods available, their complex...