DNA metabarcoding data analysis course

Course details

In this 21-hour course, participants will be introduced to the most important computational tools used to analyse Illumina DNA metabarcoding datasets.

Participants will learn how to carry out the main steps of a DNA metabarcoding data analysis, including: primer design, custom reference database building, processing of DNA metabarcoding data using different bioinformatic tools, and statistical analysis of the resulting OTU/ASV tables. During this course we will learn how to analyse a data set of bacterial 16S rDNA data using Qiime2 and how to obtain the eukaryotic composition of eDNA samples using custom pipelines.

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, Dr. Verónica Rojo, 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 DNA metabarcoding. Please note that this is an introductory course and is not intended for researchers with experience in DNA metabarcoding 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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