Intensive hands-on course on metagenomic data processing

Programme information: 

Working with high throughput sequencing data
- exploring and checking your data
- filtering data
- bash tools to work with high throughput sequencing data

Metagenomics with unassembled reads
- taxonomic classification of reads
- mTags
- read classifiers (Kraken, Kaiju...)
- functional classification of reads (prokka, blast, diamond...)
- functional annotation databases

Metagenomics with assembled reads
- Assembly (& assemblers)
- Gene prediction
- Other feature predictions (tRNA, CRISPRs)
- Reducing gene redundancy (gene catalog for a metagenomics experiment)
- mapping reads to gene catalog
- building gene/function abundance tables (eXpress, salmon): summarizing, normalization

Course dates: 

Monday, August 14, 2017 to Friday, August 18, 2017


Institut de Ciències del Mar

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