| Course ID: | PBS-SE>GENBIOINF |
| Course title: | GENOMIC WITH BIOINFORMATIC |
| Semester: | 5 / Winter |
| ECTS: | 5 |
| Lectures/Classes: | 15 / 30 hours |
| Field of study: | Applied Plant Biotechnology |
| Study cycle: | 1st cycle |
| Type of course: | compulsory |
| Prerequisites: | Knowledge of classical and molecular genetics, knowledge of the genome of eukaryotic organisms, knowledge of the organization of DNA in eukaryotes, the principles of web browsers, basic knowledge of statistics. Knowledge of the English language on communicative level. |
| Contact person: | Bartosz Kozak bartosz.kozak@upwr.edu.pl |
| Short description: | The course is designed to familiarize students with the tools of analysis of the structure and functioning of the genomes of eukaryotes. The classes will be discussed bioinformatics tools used in the analysis of the genome (sequence information). |
| Full description: | The student will be familiar with the structure and the functioning of the genome of a eukaryotic organism. Get acquainted with tools used in the analysis of the genome. Pozna bioinformatics tools used in the analysis of genomes, such as BLAST, Clusta. Get acquainted with online databases (NCBI, EMBL), which are deposited on the information known genomes. The course will be presented scripting programming languages: R, perl, python, commonly used in bioinformatics. The student will be familiar with the principles of work in a Linux environment. The student will know the principles of writing simple scripts and connect them in series –Paplin- according to the KISS principle. Will be presented methods of obtaining genomic data (methods of sequencing genomes). Students will learn the principles of creating a genetic and physical databases. |
| Bibliography: | Compulsory • T. Brown, Genomy, PWN, Warszawa, 2008 • J.Xiong, Podstawy bioinformatyki, Wydawnictwa Uniwersytetu Warszawskiego, 2009 • https://www.r-project.org/ • https://www.bioconductor.org/ • http://biopython.org/ • https://www.ncbi.nlm.nih.gov/ Complementary/optional • P. G. Higgs, T. K. Attwood, Bioinformatyka i ewolucja molekularna, PWN, Warszawa, 2008 |
| Learning outcomes: | Knowledge Man has elementary knowledge on technology, databases, acquisition and processing of information Man knows the structure and function of plant genomes Skills Man has the ability to search for information, analysis and use of literature and databases Uses specialized terminology in the Polish language and the modern foreign language Can use basic statistical methods and information technologies for data analysis, the description of biological phenomena and draw conclusions Social competences Can work in a group, taking on different roles, he is responsible for own work and teamwork Identifies priorities for implementation posed by yourself or other tasks |
| Assessment methods and assessment criteria: | Grade obtained at classes (75%) + grade obtained at lectures (25%) |