Syllabus database for doctoral courses
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Syllabus database for doctoral courses
SYLLABI FOR DOCTORAL COURSES
Swedish title | Bioinformatisk analys och visualisering av medicinska genomikdata |
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English title | Bioinformatics Analysis and Visualisation of Medical Genomics Data |
Course number | 5633 |
Credits | 3.0 |
Notes |
The course meets the requirements for a general science course. |
Responsible KI department | Institutionen för biovetenskaper och näringslära |
Specific entry requirements | |
Grading | Passed /Not passed |
Established by | The Committee for Doctoral Education |
Established | 2022-08-30 |
Purpose of the course | To increase the understanding of the basic principles of bioinformatics and to gain practical skills in bioinformatics analysis of genomic sequencing data. |
Intended learning outcomes | After the completed course, the participants will be able to understand the principles and perform basic bioinformatics analysis of genomics sequencing data. The participants will be able to plan experimental designs and to critically evaluate the appropriateness of the different sequencing based omics methods and technologies for genome-wide gene regulation studies. |
Contents of the course | Principles of gene regulation in non-disease cases and dysregulation in diseases at individual locus level as well as on genome-wide level. Principles of sequencing based genomics technologies and corresponding bioinformatics data analysis. Concrete bioinformatics data analysis by the students of selected published projects. |
Teaching and learning activities | The course consists of preparatory work, lectures, discussion, seminars and hands-on bioinformatics analysis.
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Compulsory elements | The preparation is done in the first course week without the need to be present on-site. Week 2 consists of tasks, lectures, discussions, seminars and hands-on practicals. Both parts are compulsory. Absence has to be compensated for according to the instructions from the course leader. |
Examination | The students will be examined for all learning outcomes by their performance in (a) submitted replies to tasks given for course week 1, (b) discussions and quizzes during the course week 2, and (c) individual presentations at the last course day of their bioinformatics analysis results conducted during course week 2. |
Literature and other teaching material | Recent articles and websites. | Course responsible |
Carsten Daub Institutionen för biovetenskaper och näringslära Carsten.Daub@ki.se |
Contact person |