Introduction to metagenomic data analysis course

Course details

In this 14-hour course, participants will be introduced to the most important computational tools used to analyse metagenomic datasets.

Participants will learn the most relevant points of a metagenomics analysis workflow; covering from the quality control and the management of the shotgun sequencing data, going through metagenome assembly, binning, taxonomic assignment and functional annotation, to microbial diversity comparison.

The course will combine theory with hands-on exercises using real datasets.

Language: English or Spanish.

Number of places available: 12.

Instructors: Dr. Neus Marí-Mena, Jaime Imaz, and Antón Vizcaíno.

Target audience and requirements

Master students, early career researchers (pre-docs and post-docs), or senior researchers, either from Industry or Academia, interested in metagenomics. Please note that this is an introductory course and is not intended for researchers with experience in metagenomics data analysis.

Basic skills in DNA taxonomy and high-throughput sequencing are required. Researchers who are not familiar with high-throughput sequencing might want to consider signing up first to our introductory course. Basic use of UNIX-based command line is desirable.

Hands-on work will be performed in UNIX environments (Linux, Mac).

All participants should bring and use their own laptops.

>>Check out when this course will be held in 2020<<

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