ECTS
ECTS Course Catalogue
Course details
Course code: BBS20343f16Semester: 2016/2017 winter
Name: Marker Assisted Selection
Major: Biology
Study Type: second cycle
Course type: optional
Study Semester: 0
ECTS points: 3
Hours (Lectures / Tutorials / Other): 15 / 15 / 0
Lecturer: dr hab. Heliodor Wierzbicki
Language of instruction: Polish / English
The course taught in English if the group has ≥6 students. The course taught in Polish with a possibility of support in English if the group has <6 students
Learning outcomes: Knowledge: student knows the statistical methods used when analyzing genomes of animals; student knows classes of genetic markers; student knows principles of genome wide association and phenomenon of linkage disequilibrium. Skills: student is able to study and analyze data of biological (molecular) origin using bioinformatics methods; student is able to use statistical methods and computer software to study and analyze phenomenon of linkage disequilibrium and quantitative traits locus (QTL); student determines mapping genes of large effects; student can prepare final project.
Competences: Personal and social competences (attitudes and behaviors): student iis aware of advantages of team work and responsibility of team members for common goals, take care of lab equipment.
Prerequisites: biochemistry, genetics, cell biology, computer science
Course content: The overall purpose of the course is to provide students with theoretical background and practical skills concerning genetic markers, linkage disequilibrium (LD) and its measures, mapping genes of large effects (QTL) using LD, marker assisted selection (MAS), and factors affecting the accuracy of genome-wide association study and genomic selection.
Recommended literature: 1. BROWN T. A. (2001). Genomy. Wydawnictwo Naukowe PWN. 2. FALCONER D.S., MACKAY T.F.C. (1996). Introduction to quantitative genetics. Longman. 3. WINTER P.C., HICKEY G.I., FLETCHER H.L. (2006). Genetyka. Krótkie wykłady. Wydawnictwo Naukowe PWN.
Assessment methods: Assessment methods: students have to prepare 2 projects using computer software; the final grade of the course will be calculated as arithmetic mean of the projects assessments.
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