Computational biology 1000-5D97MB
The rapid development of advances in modern molecular biology has created a critical need for application of mathematical and computer science methods in this field. Computational biology is an interdisciplinary field that applies the techniques of computer science (e.g. combinatorics, algorithmics), applied mathematics, and statistics to address problems inspired by biology.
This is currently intensively developed field in many universities and has also attracted the interest of private companies.
The seminar focus is on mathematical analysis of molecular data. Most talks concerns research projects conducted by Computational Biology Group (see http://bioputer.mimuw.edu.pl). Recently, our interests are the following:
- statistical analysis of mass spectrometry, CGH (comparative genomic hybridization) and microarrays data (aiming in medical diagnosis),
- molecular evolution and modeling, phylogenetics,
- reconstruction of gene regulatory networks and protein interaction networks,
- biological sequence analysis (new algorithms for sequence comparison, comparative genomics of transposable elements).
- mathematical modeling of signaling pathways (ordinary differential equations, continuous time Markov chains).
Type of course
Learning outcomes
knowledge:
1. Student has a general knowledge of the problems of computational biology.
2. Student has a basic knowledge of the mathematical tools used in the modeling and analysis of molecular data.
skills:
1. Student can prepare and give a presentations based on scientific articles or the results of his research.
competence:
1. Student knows his own limitations of knowledge and understands the need for further education (K_K01)
2. Student is able to manage their time and make commitments and meet deadlines (K_K05)
Assessment criteria
giving a talk,
4th year: thesis approval
5th year: thesis submission.
Bibliography
Modern scientific literature of the subject, including scientific journals and data from Internet.
Details are provided by the lecturers at the first meeting.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: