FH-Prof.in Mag.a Dr.in Alexandra Graf Research Staffalexandra.email@example.com T: +43 1 606 68 77-3602 F: +43 1 606 68 77-3609 Muthgasse 62 1190 WienPersonal WebspaceLectures 2021/22Applied Life Sciences> Molecular Genetics and Straindevelopment VO Bioengineering moreMolecular Genetics and Straindevelopment VOLector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Ing. DI (FH) Dr. Harald Kühnel, MSc2SWS4ECTSLecture contentsKnowledge on basics of molecular genetics: What are living organisms made of - in a biochemical sense - what molecules - which compartments and structures? How are these molecules, compartments and structures passed on to offspring? How do living organisms function in a chemical and physical sense? How is this live "steered"? How identical are offspring to their parents, or how different? How is genetic and biological relationship explained on the molecular level? Topics in the Basics part: - Historical perspective - Genomics, Transcriptomics, Proteomics - Differences between Eukaryota, Porkaryota, Archaea, and Viruses - Replication - Transcription - Translation - Mutations and Recombination Methods included in this part: - Sequencing technologiesAssessment methodsMoodle examTeaching methodsLectureLanguageGerman> Bioinformatics VO Bioengineering moreBioinformatics VOLector: FH-Prof.in Mag.a Dr.in Alexandra Graf0.5SWS1ECTSLecture contentsIntroduction to the working environment with Linux, R and Python. Introduction to concepts of version control with Git and working on a Linux Server environment.Assessment methodspractical programming taskTeaching methodslecture (powerpoint) practical work using computersLanguageGerman> Bioinformatic Data Analysis (Statistics) UE Bioengineering moreBioinformatic Data Analysis (Statistics) UELector: FH-Prof.in Mag.a Dr.in Alexandra Graf1SWS2ECTSLecture contentsIntroduction in Programming with R and the analysis of biological datasets: R topics: - Data types - Control structures - Functions - Packages - PlotsAssessment methodsExercises in DataCamp and through MoodleTeaching methodsLecture and Exercise. Accesss to DataCamp.LanguageGerman-English> Transcriptomics and Genomics ILV Bioinformatics moreTranscriptomics and Genomics ILVLector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Eric Schinogl, BSc2SWS4ECTSLecture contents1) Acquire knowledge on selected bioinformatics chapters (Next Generation Sequencing, ChIP-Seq, RNA-Seq) ans 2) Application of relevant bioinformatics tools for the analysis of associated data 3) using script languages under Linux, such as Bash, awk and perl.Assessment methods40 % Hands on exercise: Hand in a short program which solved a given task 60% Lecture: Written examTeaching methods- Introductions and explanations (lecture) - Exercises using the computerLanguageGerman> Bioinformatics ILV Molecular Biotechnology moreBioinformatics ILVLector: FH-Prof.in Mag.a Dr.in Alexandra Graf3SWS3ECTSLecture contentsIn this lecture we talk about what Bioinformatics is and why we need it today. The studients will be introduced to basic programming and can play around with simple practical examples. We will go through specific topics of Bioinformatics and discuss the available applications. The topics include: - Why did Bioinformatics develop and what is it. - Human Genome Project and its consequences - Biological sequences, sequence comparison and database search. - Pattern search - Structure of biological sequences and structure prediction - High throughput technologies and data analysis Programming: - practical examples in R and a short introduction in PythonAssessment methodsExercises to be handed in using the Moodle Platform, and short mulitple choice tests also on the Moodle platform.Teaching methodslecture, powerpoint presentation, discussion and hands on exercisesLanguageGerman-English> Biotechnological Seminar SE Bioinformatics moreBiotechnological Seminar SELector: FH-Prof.in Mag.a Dr.in Alexandra Graf, FH-Prof. DI Dr. Michael Maurer0.5SWS1ECTSLecture contentsAs an example from biotechnology, students will work in the brew lab to create a beer, following a recipe. Students will be introduced into the topic of brewing and will have the chance to see an automated solution and investigate the data produced by the equipment. Additionally to the work in the lab, students are required to design a label for their beer and create a website with the recipes they worked on. The students will work in groups of 3-4 persons.Assessment methodsStudents will be graded on their performance in the lab and the design of the label and web page.Teaching methodsPresentation, praktical lab exerciseLanguageGerman> Metagenom Analysis ILV Bioinformatics moreMetagenom Analysis ILVLector: FH-Prof.in Mag.a Dr.in Alexandra Graf1SWS2ECTSLecture contentsIntroduction to the production and analysis of metagenome/microbiome data.Assessment methodsPresentation of a practical task.Teaching methodsVortrag, Diskussion und praktisches Beispiel.LanguageGerman-English> Transcriptomics and Genomics Practice UE Bioinformatics moreTranscriptomics and Genomics Practice UELector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Eric Schinogl, BSc1.5SWS3ECTSLecture contentsThe exercise should give students the option of working with software and programs introduced in the lecture Transcriptomics and Genomics.Assessment methodsPractical examplesTeaching methodsMoodle, Linux server, example scriptsLanguageGermanPublications The publications of Alexandra Graf written at FH Campus Wien can be found in our publication database, others in the personal web space.