Graduate School of health and Medical Sciences

Bioinformatics for Animal Genomics
Provider: Faculty of Health and Medical Sciences

Activity no.: 3675-19-00-00
	Enrollment deadline: 27/10/2019

Date and time	18.11.2019, at: 09:00 - 19.01.2020, at: 16:00
Regular seats	12
Course fee	12,600.00 kr.
Lecturers	Stefan Seemann
ECTS credits	6.10

Contact person	Stefan Seemann E-mail address: sse@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at graduate schools in the other Nordic countries. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from Nordic countries. After the enrollment deadline, available seats will be allocated to applicants on the waiting list. Learning objectives A student who has met the objectives of the course will be able to: 1. Analyze sequence data of animal genomes and transcriptomes by applying relevant bioinformatic tools 2. Assess the quality of seqence data 3. Assess the quality of bioinformatic tools 4. Assess the quality of the data analysis 5. Interpret the implications of a data analysis in broader context than the specific analyzed data Content Driven by the technological progress, biology continuously undergoes a revolution that started in the late 1990-es with the sequencing of the human genome. This revolution is on a scale that constantly redefines our basic understanding of biology and reaches deep into animal science, for example with respect to diseases, nutrition and production traits. Understanding the opportunities that come with the technological development is crucial for strategy planning in animal science in general. The course will introduce tools to analyze the high-throughput next generation sequencing (NGS) data generated from a selected range of technologies with high relevance for animal science. To this end, basic concepts of sequence alignment and genome analysis will be introduced together with data of relevance for the genome structure (e.g. single nucleotide polymorphisms and chromosomal re-arrangements) and transcriptomes (e.g. gene expression and gene transcript variation) in animals. Furthermore, the functional context of genes will be addressed through the studies of biochemical pathways and networks, in which information from the NGS data will be employed to interpret the functional aspects of the genes. Participants Students should have a background in genetics or bioinformatics. The target group are students that are exposed to sequencing data (NGS data) during their PhD study and want to learn how to analyse the data. Basic knowledge in statistics, mathematics or R are expected. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: Veterinary and Animal Sciences Biostatistics and Bioinformatics Language English Form Lectures, computer (and occasionally theoretical) exercises, project work and presentation of own data analysis, guest lecturers Course director Ernst Stefan Seemann, Associate Professor, IVH, sse@sund.ku.dk Teachers Jan Gorodkin, Professor, IVH Ernst Stefan Seemann, Associate Professor, IVH Nadezhda Doncheva, PhD, IVH Dates 18.11.2019 - 19.01.2020 (block 2 2019/2020) Course location Department of Veterinary and Animal Sciences (IVH), Univ. of Copenhagen Registration Please register before 20.10.2019 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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