Computational biology

General data

Course ID:	1000-5D97MB
Erasmus code / ISCED:	11.954 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0619) Information and Communication Technologies (ICTs), not elsewhere classified The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Computational biology
Name in Polish:	Bioinformatyka i analiza danych biomedycznych
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:	Master seminars for Computer Science Master seminars for Mathematics MSc seminars for Bioinformatics
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Type of course:	Master's seminars
Short description:	Scope of the seminar covers some of the major areas of computational biology. These include: sequence analysis, comparative genomics, evolution and organization of genomes, inference of gene and protein interaction networks, mathematical modeling of signaling pathways, analysis of DNA microarray and mass spectrometry data, phylogenetic trees and molecular evolution.
Full description:	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).
Bibliography:	Modern scientific literature of the subject, including scientific journals and data from Internet. Details are provided by the lecturers at the first meeting.
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 methods and assessment criteria:	giving a talk, 4th year: thesis approval 5th year: thesis submission.

This course is not currently offered.

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