|Notices (updated 22.9.2006)
o A preprocessed stress data is available for download.
|Lecturer||D.Sc.(Tech.) Janne Nikkilä, Laboratory of Computer and Information Science|
|Assistant||M.Sc.(Tech.) Leo Lahti, Laboratory of Computer and Information Science|
|Semester||Autumn 2006, period I (and possibly period II)|
|Seminar sessions|| On Thursdays at 14.30-16 in lecture hall T5 in computer science
Konemiehentie 2, Otaniemi, Espoo. The first session on Thursday 14.9.2005.
|Registration||TKK students: WebTopi, others: send mail to firstname.lastname@example.org|
In any analysis or modeling task it is usually beneficial to take into account all the available information. In bioinformatics this means collecting heterogeneous data from various measurement devices, databases, and information sources. Examples of such information sources include genomic sequence, gene expression, Gene Ontology, known pathways, protein sequence, protein-DNA binding, cell state, and environmental conditions.
This course is designed to introduce computational and statistical concepts and tools used at the moment in data integration and fusion, especially in bioinformatics. The course does not focus on database integration, which a closely related topic. In contrast, the focus is on the various computational techniques tasks that enable better inference based on multiple data sources as opposed to using individual sources separately.
This course is intended mainly for graduate students of computer science, statistics, and applied mathematics, but students from other fields are welcome as well. In particular mathematically oriented biology, bioinformatics, and medical students should benefit from the course.
Basic knowledge of probability, statistics, vector algebra, and calculus is assumed (the basic mathematics courses in HUT). A "Basic course in bioinformatics", such as S-114.2510 Computational Systems Biology or equivalent background is assumed as well.
Journal club (abstract + presentation + project work) (5 cr).
The course is graded as fail/pass/pass with distinction. The abstracts+presentations and the project works are graded as fail/pass/pass with distinction.
Make a presentation about a subject given in the first session. Prepare a one page extended abstract about your subject and send it electronically to the assistant at least 48 hours before your presentation. The assistant will then comment the abstract if needed, and you will send the corrected abstract to the assistant at least 24 hours before your presentation, and the assistant will send it to the other participants of the course.
Complete the project work and return a written report about it.
Attend the seminar session and the discussion actively.
|HUT students:||In Webtopi|
|Other universities:||Send email to the organizers or sign up at the introduction lecture.|
Introductory material (read before 21.9.2005):
|Time||Lecturer||Subject and material|
|14.9.||Janne Nikkilä, Leo Lahti||
Write a short (A4) project plan before 26. October 2006 and send it to the course assistant. Our suggestions and approval will be made before 2nd November.
DL for the project is 8th December, 2006 at 8 p.m. For more details, see the separate page.
For more information, please send email to email@example.com.
Janne Nikkilä and Leo Lahti
You are at: CIS → T-61.6080 Special course in bioinformatics II: Data --> <!--integration and fusion in bioinformatics
Page maintained by firstname.lastname@example.org, last updated Tuesday, 24-Oct-2006 09:39:38 EEST