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Education: Course on Comparative Genomics (2nd edition)
Submitted by Carlo Pecoraro; posted on Friday, September 06, 2019
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October 7-11, 2019
Free University Berlin, Germany
https://www.physalia-courses.org/courses-workshops/course34/
OVERVIEW
We will cover a broad range of software and analysis workflows that extend over the spectrum from assembling and annotating eukaryotic genomes, via the identification of single nucleotide variants (SNVs) and structural variants (SVs) within the population, to the assessment of their likely functional impact of the detected variants in an evolutionary context.
TARGETED AUDIENCE & ASSUMED BACKGROUND
The course is aimed at researchers interested in learning how to compare genomes and what can be learned from genomic similarities as well as variations. It will include information useful for both beginners and more advanced users. We will start by introducing general concepts of comparative genomics. On this basis, we will then continue to describe all major analysis steps from the raw sequencing data via the identification of variations to an assessment of their impact on the phenotype.
Attendees should have a background in biology. There will be a mix of lectures and hands-on practical exercises using command line Linux. We will therefore dedicate one session to introduce basic and advanced Linux concepts for processing data on Amazon cloud (AWS). Attendees should have also some familiarity with genomic data such as that arising from NGS sequencing experiments.
LEARNING OUTCOMES
- Setting up a comparative genomics analysis environment with the CONDA package management system
- Identification of SNPs and SVs using de novo genome assembly and read mapping strategies
- Assessment of strengths and weaknesses of the different DNA sequencing technologies, Illumina, Pacific Bioscience, Oxford Nanopore, for the detection of variations
- Strengths and pitfalls of de novo assembly and mapping approaches for comparative genomics
- Hands on experience of state of the art methods to compare multiple genomes
- Annotation of variations and comparative genomics analysis
- Familiarity with biological sequence analysis in an evolutionary context
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