High Throughput Sequencing of Non-Model Organisms

On successful completion of the course the student should have the following learning outcomes Knowledge The student should: - have a general understanding of the power and limitations of high-throughput sequencing technologies - understand the specific strengths and weaknesses of alternative high-throughput sequencing approaches - understand the principles of de novo genome and transcriptome assembly - understand how to assess transcript prevalence from RNA-seq data Skills The student should: - be able to prepare a genomic library and perform a sequencing run at a NGS platform - be able to make use of basic computational resources for NGS - know how to transfer large data sets between computers - be able to execute scripts and run extended analyses - be able to map short-read sequence data to sequenced genomes and query the mapping for variation General competence The student should: - be able to address biological questions in non-model species using short sequence reads - be able to choose the most suitable sequencing technologies and analytical tools to be used to address the problem at hand - be able to convey essential topics, exchange experiences, and keep updated within the field of high-throughput sequencing