STAT529 Statistics for Bioinformatics

Course Code:2460529
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Statistics
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Prof.Dr. VİLDA PURUTÇUOĞLU
Offered Semester:Fall and Spring Semesters.

Course Objectives

Upon completion of the course, students should have a knowledge about

- basic biological and biochemical process which they face with in the analyses of biological/biochemical high dimensional datasets,

-  fundamental statistical methods in hypothesis testing and inference methods used in various modelling approaches,

-  detailed knowledge about the analysis of microarray data and related statistical approaches,

-  different statistical methods performed in the analyses of various networks and their elements,

- visualization tools and relevant databases for biological networks, microarrays and sequence alignments. 

Students will also have gained practical experience on these matters through term project and presentation.  


Course Content

Definition of certain fundamental biological and chemical processes, principles of probability and statistics, microarray analyses, fundamental and advanced classification and clustering methods, analyses of protein sequence alignments, structure and elements of biological network, visualization tools and databases in bioinformatics.


Course Learning Outcomes


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1Ability for converting theoretical, methodological, and computational statistical knowledge into analytical solutions in researches requiring statistical analyses.
2Ability for specifiying problems in real life situations bearing uncertainty, forming hypotheses, modeling, application, and interpreting the results.
3Ability for using current technology, computer softwares for statistical applications, computer programming for specific problems when necessary, writing computer codes for speeding up statistical calculations, organizing and cleaning databases, and preparing them for statistical analyses, and data mining.
4Ability for taking part in intra/inter disciplinary team work, efficient use of time, taking responsibility as a team leader, and entrepreneurship.
5Ability for taking responsibility in solitary work and producing creative solutions.
6Ability for keeping up-to-date with current advancements in statistical sciences, doing research, being open-minded, and adopting critical thinking.
7Ability for effective communication both in Turkish and English in specification of statistical problems, analyes, and interpretation of findings.
8Ability for using the knowledge in the field of expertise for the welfare of the society.
9Ability for suggesting the researchers in a comprehensible way the appropriate statistical methods for problems in fields that use statistics such as economics, finance, industrial engineering, genetics, and medicine and apply if needed.
10Ability for catalyzing discussions and presentations, public speaking, making presentations, communicating topics of expertise to the audiance in a comprehensible way.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution