{"id":null,"code":"DRUG2007","name":{"valueFi":"Bioinformatics in Drug Discovery","valueEn":"Bioinformatics in Drug Discovery","valueSv":"Bioinformatics in Drug Discovery"},"credits":4.0,"minCredits":4,"maxCredits":4,"tags":[],"createdAt":1790534741413,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"By the end of the study module students will be able to:\r\n- understand the basic bioinformatics approaches for transcriptomics data preprocessing, quality control, differential expression analysis and gene function enrichment analysis\r\n\r\n- Run a basic R data analysis workflow independently for transcriptomics sequencing data\r\n- Use databases available on the internet that link protein sequence-level information to atom-detailed interaction data\r\n- Produce protein sequence alignments, and explain how sequence differences can be reflected in protein structure and function, for example, how the differences affect the ability to bind drug molecules\r\n-Independently produce research results, which are based on topics covered during the course","valueEn":"By the end of the study module students will be able to:\r\n- understand the basic bioinformatics approaches for transcriptomics data preprocessing, quality control, differential expression analysis and gene function enrichment analysis\r\n\r\n- Run a basic R data analysis workflow independently for transcriptomics sequencing data\r\n- Use databases available on the internet that link protein sequence-level information to atom-detailed interaction data\r\n- Produce protein sequence alignments, and explain how sequence differences can be reflected in protein structure and function, for example, how the differences affect the ability to bind drug molecules\r\n-Independently produce research results, which are based on topics covered during the course","valueSv":"By the end of the study module students will be able to:\r\n- understand the basic bioinformatics approaches for transcriptomics data preprocessing, quality control, differential expression analysis and gene function enrichment analysis\r\n\r\n- Run a basic R data analysis workflow independently for transcriptomics sequencing data\r\n- Use databases available on the internet that link protein sequence-level information to atom-detailed interaction data\r\n- Produce protein sequence alignments, and explain how sequence differences can be reflected in protein structure and function, for example, how the differences affect the ability to bind drug molecules\r\n-Independently produce research results, which are based on topics covered during the course"}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"The course covers the following general topics:\r\n\r\nModule 1:Basic bioinformatics approaches for the analysis of high-throughput omics data with focus on transcriptomics data analysis.\r\nModule 2: Protein sequence to protein structure comparison and binding of small-molecule ligands to protein structures","valueEn":"The course covers the following general topics:\r\n\r\nModule 1:Basic bioinformatics approaches for the analysis of high-throughput omics data with focus on transcriptomics data analysis.\r\nModule 2: Protein sequence to protein structure comparison and binding of small-molecule ligands to protein structures","valueSv":"The course covers the following general topics:\r\n\r\nModule 1:Basic bioinformatics approaches for the analysis of high-throughput omics data with focus on transcriptomics data analysis.\r\nModule 2: Protein sequence to protein structure comparison and binding of small-molecule ligands to protein structures"}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"Moodle-practices, hands-on exercises, project work. Moodle practices can be done either in supervised practices or at own time.","valueEn":"Moodle-practices, hands-on exercises, project work. Moodle practices can be done either in supervised practices or at own time.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"Classroom lectures (14h), independent work (32h), supervised hands-on computer classes (56h), project work (module 1), exam (2h; module 2).","valueEn":"Classroom lectures (14h), independent work (32h), supervised hands-on computer classes (56h), project work (module 1), exam (2h; module 2).","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"All material is provided as lecture handouts and Moodle practices. All additional information, e.g., for the usage of software tools during the course are given in Moodle.","valueEn":"All material is provided as lecture handouts and Moodle practices. All additional information, e.g., for the usage of software tools during the course are given in Moodle.","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"- Quota for minor subject students: 1-5.\r\n- Minor subject students will be selected based on the application, previous relevant studies and, if needed, by lot.","valueEn":"- Quota for minor subject students: 1-5.\r\n- Minor subject students will be selected based on the application, previous relevant studies and, if needed, by lot.","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"Recommended courses before taking DRUG2007 Bioinformatics in Drug Discovery\r\nModule 1: Course \"Biotechnology and Bioinformatics\" (in BSc studies in Biomedicine) or the Moodle online course \"DRUG1007 Bioinformatics and Omics Technologies\" (especially recommended for students accepted directly to DDD programme)\r\nModule 2: Courses \"Structures of Biomolecules and Drug Molecules\" and \"Structures of Biomolecules and Drug Molecules (Practical Work)\" (in BSc studies in Biomedicine) or additional practises in Moodle","valueEn":"Recommended courses before taking DRUG2007 Bioinformatics in Drug Discovery\r\nModule 1: Course \"Biotechnology and Bioinformatics\" (in BSc studies in Biomedicine) or the Moodle online course \"DRUG1007 Bioinformatics and Omics Technologies\" (especially recommended for students accepted directly to DDD programme)\r\nModule 2: Courses \"Structures of Biomolecules and Drug Molecules\" and \"Structures of Biomolecules and Drug Molecules (Practical Work)\" (in BSc studies in Biomedicine) or additional practises in Moodle","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"Hyväksytty/Hylätty","valueEn":"Pass/Fail","valueSv":"Pass/Fail"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Assessment criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Assessment criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Assessment criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kielet","valueEn":"Languages","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":""}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Drug Discovery and Development","valueEn":"Drug Discovery and Development","valueSv":"Drug Discovery and Development"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Olli Pentikäinen, Laura Elo","valueEn":"Olli Pentikäinen, Laura Elo","valueSv":"Olli Pentikäinen, Laura Elo"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}