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Syllabus for

Academic year
UMF010 - Introduction to bioinformatics
 
Owner: BIMAS
3,0 Credits (ECTS 4,5)
Grading: UG - Fail, pass
Level: A
Department: 0345 - MEDICINSK OCH FYSIOLOGISK KEMI GU


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0100 Written and oral assignments 3,0 c Grading: UG   3,0 c    

In programs

TKBIA BIOENGINEERING, Year 4 (elective)
TDATA COMPUTER SCIENCE AND ENGINEERING, Year 3 (elective)
TDATA COMPUTER SCIENCE AND ENGINEERING - Algorithms, Year 4 (elective)
TDATA COMPUTER SCIENCE AND ENGINEERING - Cognition Technology and Multimedia, Year 4 (elective)
TM Teknisk matematik, Year 2 (elective)
BIMAS MSc PROGRAMME IN BIOINFORMATICS, Year 1 (compulsory)

Examiner:

Professor  Tore Samuelsson



Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

Applicants should have at least 3 years of previous studies in there own field (e.g. biology, medicine, engineering, mathematics, statistics, computing science). A first course in mathematics and/or statistics, and a computer programming course is recommended.

Aim

Experimental research in molecular biology has in recent years yielded a wealth of information. Genomes are being mapped and sequenced at a high rate, information about the three dimensional structure of an increasing number of proteins is becoming available, and a large amount of gene expression data is being collected. In this development new tools are required to handle and analyze data. Bioinformatics, an interdisciplinary field involving a collaboration between computer scientists, mathematicians, statisticians and experimental biologists, has therefore become a rapidly expanding area of research.
This course gives an introduction to the field, with particular emphasis on molecular biology databases and the analysis of biological sequence information.

Content

* Basic introduction to molecular biology and to mathematics/statistics/computer science.
* Databases and the retrieval of sequence, structure, and genomic data.
* Sequence analysis. Pairwise comparison, searching databases for sequence similarity, mutliple sequence alignment. Algorithms and software for sequence analysis.
* The three-dimensional structure of proteins. Experimental methods for elucidation of structure - prediction of structure from sequence.

Literature

Attwood, T.K., & Parry-Smith, "Introduction to bioinformatics". Cell and molecular biology in action series. Longman, 1999.
Handouts.

Examination

Completed exercises, and a written summary.


Page manager Published: Thu 03 Nov 2022.