Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
The course provides you with basic understanding of high-throughput data and computational methods that are commonly used for analysing the data in biological and biomedical problems. After the course you have skills to apply various computational methods in real biological problems and study the field further.
Schedule: 27.10.2020 - 14.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Harri Lähdesmäki
Teacher in charge (applies in this implementation): Harri Lähdesmäki
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
The course introduces computational and statistical methods for analyzing modern high-throughput biological data and their use in systems biology. The course covers microarray, high-throughput sequencing (HTS), single-cell and mass-spectrometry technologies and computational methods for HTS data alignment, genotyping, gene expression analysis, chromatin immunoprecipitation sequencing, epigenetics and proteomics. Relevant high-throughput measurement technologies are reviewed during the course.
Assessment Methods and Criteria
Examination and exercise work.
24 + 12 (4 + 2)
To be specified in MyCourses at the start of the course.
Substitutes for Courses
Replaces former course CS-E5870 High-Throughput Bioinformatics.
Basics in mathematics, statistics, computer science and programming. CS-E5860 Computational Genomics is preferred.
- Teacher: Harri Lähdesmäki