|
| Udgave: |
Forår 2013 NAT |
| Point: |
7,5 |
| Blokstruktur: |
4. blok |
| Skemagruppe: |
B |
| Institutter: |
Bioinformatik-centret, Biologisk Institut |
| Uddannelsesdel: |
Kandidat niveau |
| Kontaktpersoner: |
Albin Sandelin albin@binf.ku.dk, |
| Skema- oplysninger: |
Room allocation pending. As a rule, lectures/exercises Mondays 9.30-12, Tuesdays 13-16 and Fridays 9.30-12.
|
| Skema- oplysninger: |
 Vis skema for kurset
Samlet oversigt over tid og sted for alle kurser inden for Lektionsplan for Det Naturvidenskabelige Fakultet Forår 2013 NAT |
| Undervisnings- form: |
Hybrid between lectures and computer exercises. |
| Formål: |
After successfully completing the course, students will master the fundamentals of computational analysis of large biological datasets. This includes both
i) understanding the diverse laboratory techniques and biological processes generating the data
ii) understanding and mastering the statistical and informatics techniques used for analysis, including the selection of appropriate techniques for a given data and question and
iii) interpreting analysis results in a biological context, and identify and apply follow-up analyses based on this.
Special focus will be set on the following, both in teaching and evaluation:
Extensive hands-on exercises to develop analysis skills; both within lessons and in home work.
Analysis – and interpretation - of real biological data sets
Realistic problem solving in which finding the exact methods - and the specific R syntax necessary - for attacking a question is an important part of the problem.
|
| Indhold: |
There are four major subject areas of the course:
1) Introduction to the program R and applied statistics, and data handling: This will be used throughout the course
2) Visualization, handling and analysis of genomic data using the genome browser, the galaxy tool and R
3) Expression analysis using microarrays and DNA sequencer data (”tag data”) using R and public tools
4) Analysis of proteomics data using R and public tools.
|
| Målbeskrivelse: |
To obtain the grade 12:
The student must be able to explain the motivation, biological relevance and use of the methods covered in the course.The student must be able to understand and critically assess relevant scientific literature. The student must demonstrate expertise in the tools used in the course. The student must be able to suggest which methods and programs to apply for a given biological problem, and to point out problems and difficulties relating to such applications. Analogously, the student must be able to understand the strengths and weaknesses of different biological data types. The student must, with the help of program documentation and lecture material, be able to identify the methods that are appropriate and the syntax necessary for solving problems. The student must be able to after analysis interpret the analysis outcome in a biological setting, and identify and apply relevant follow up-analyses or extensions. |
| Lærebøger: |
Scientific articles and handouts available on the home page (compulsory).
We strongly recommend students to acquire ”Introductory Statistics with R” by Peter Dahlgaard (ISBN: 978-038795475)(free in the online university library), as it is a great help during and also after the course, but this is not compulsory.
|
| Tilmelding: |
Registration at KUnet 15 November - 1 December. |
| Faglige forudsætninger: |
Students should have a molecular biology background corresponding to those of students in Bioinformatics or Biomedicine master programs (for instance "Introduction to Molecular Biology and Genetics" in block 1 or a life-science oriented bachelor education). Moreover, a basal statistics course such as "Statistics for Biomedicine" in block 2 is strongly recommended. |
| Eksamensform: |
In order to be allowed to the final exam, the student must have had three smaller written group projects approved. The final exam is an individual larger written end-of-course homework. Students are given 1 week to finish it. 7-grade scale. Internal censor.
Re-exam: Written homework as the ordinary exam. The three smaller group home works have to be approved before taking a re-exam.
|
| Eksamen: |
1 uges hjemmeopgave. Udleveret d. 10. juni og afleveres d. 17. juni 2013.
Reeksamen: 1 uges hjemmeopgave. Udleveret d. 19. august og afleveret d. 23. august 2013. |
| Kursus hjemmeside: |
 |
| Bemærkninger: |
Max. 65 students; master students from Molecular Biomedicine and Bioinformatics have priority as the course is compulsory for these programs. |
| Undervisnings- sprog: |
Engelsk
|
| Sidst redigeret: |
30/10-2012 |