Application of Hidden Markov Models (HMM) to discover genes developing algorithms to rearrange genes, cluster algorithms DNA sequence alignment, gene identification by using known sequences.
Computational Genome Analysis (BIO 610)
2014 Spring
Faculty of Engineering and Natural Sciences
Mol.Bio.Genetic&Bioengin.(BIO)
3
10
Murat Çokol cokol@sabanciuniv.edu,
Click here to view.
English
Doctoral, Master
--
Interactive lecture,Workshop
Interactive,Learner centered,Communicative,Simulation,Case Study
Click
here
to view.
| Programs\Type | Required | Core Elective | Area Elective |
| Computer Science and Engineering - With Bachelor's Degree | * | ||
| Computer Science and Engineering - With Master's Degree | * | ||
| Computer Science and Engineering - With Thesis | * | ||
| Cyber Security - With Bachelor's Degree | * | ||
| Cyber Security - With Master's Degree | * | ||
| Cyber Security - With Thesis | * | ||
| Electronics Engineering and Computer Science - With Bachelor's Degree | * | ||
| Electronics Engineering and Computer Science - With Master's Degree | * | ||
| Electronics Engineering and Computer Science - With Thesis | * | ||
| Electronics Engineering - With Bachelor's Degree | * | ||
| Electronics Engineering - With Master's Degree | * | ||
| Electronics Engineering - With Thesis | * | ||
| Energy Technologies and Management-With Thesis | * | ||
| Industrial Engineering - With Bachelor's Degree | * | ||
| Industrial Engineering - With Master's Degree | * | ||
| Industrial Engineering - With Thesis | * | ||
| Leaders for Industry Biological Sciences and Bioengineering - Non Thesis | * | ||
| Leaders for Industry Computer Science and Engineering - Non Thesis | * | ||
| Leaders for Industry Electronics Engineering and Computer Science - Non Thesis | * | ||
| Leaders for Industry Electronics Engineering - Non Thesis | * | ||
| Leaders for Industry Industrial Engineering - Non Thesis | * | ||
| Leaders for Industry Materials Science and Engineering - Non Thesis | * | ||
| Leaders for Industry Mechatronics Engineering - Non Thesis | * | ||
| Manufacturing Engineering - Non Thesis | * | ||
| Manufacturing Engineering - With Bachelor's Degree | * | ||
| Manufacturing Engineering - With Master's Degree | * | ||
| Manufacturing Engineering - With Thesis | * | ||
| Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) | * | ||
| Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) | * | ||
| Materials Science and Nano Engineering - With Thesis (Pre.Name: Materials Science and Engineering) | * | ||
| Mechatronics Engineering - With Bachelor's Degree | * | ||
| Mechatronics Engineering - With Master's Degree | * | ||
| Mechatronics Engineering - With Thesis | * | ||
| Molecular Biology, Genetics and Bioengineering (Prev. Name: Biological Sciences and Bioengineering) | * | ||
| Molecular Biology, Genetics and Bioengineering-(Prev. Name: Biological Sciences and Bioengineering) | * | ||
| Molecular Biology,Genetics and Bioengineering-With Thesis (Pre.Name:Biological Sciences and Bioeng.) | * | ||
| Physics - Non Thesis | * | ||
| Physics - With Bachelor's Degree | |||
| Physics - With Master's Degree |
CONTENT
OBJECTIVE
To teach the statistical basis of methods used in computational genome analysis so each student can incorporate these methods in their research aims.
LEARNING OUTCOMES
- At the end of the course the learner is expected to be able to demonstrate the use probabilistic and statistical analysis with computer programming to carry out hypothesis testing with biological data sets.
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 45 |
| Quiz | 55 |
RECOMENDED or REQUIRED READINGS
| Course Web | Reading material and computer codes. |