FH-Prof. Mag. Dr. Alexandra Graf Research Staffalexandra.email@example.com T: +43 1 606 68 77-3602 F: +43 1 606 68 77-3609 Room: E.3.27 Favoritenstraße 222 1100 WienPersonal WebspaceLectures 2022/23Applied Life Sciences> Transcriptomics and Genomics ILV Bioinformatics moreTranscriptomics and Genomics ILVLector: FH-Prof.in Mag.a Dr.in Alexandra Graf2SWS4ECTSLecture contents1) Acquire knowledge on selected bioinformatics chapters (Short/long-read technologies, selected applications e.g. ChIP-Seq, RNA-Seq) and 2) the theoretical basics and application of relevant bioinformatics tools for the analysis of sequencing dataAssessment methods40 % Hands on exercise: Hand in a short program which solved a given task 20 % Moodle exam 40 % Journal Club: Presentation of a scientific paper in GroupsTeaching methods- Introductions and explanations (lecture) - Exercises using the computerLanguageGerman> Selected Chapters of Bioinformatics SE Bioinformatics moreSelected Chapters of Bioinformatics SELector: FH-Prof.in Mag.a Dr.in Alexandra Graf, DI (FH) Anton Grünberg1SWS2ECTS> Data Analysis Laboratory LB Bioinformatics moreData Analysis Laboratory LBLector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Ing. DI (FH) Dr. Harald Kühnel, MSc, Laurentius Orsolic, BSc, Monika Waldherr, MSc2SWS4ECTS> Master Thesis Preparation SE Bioinformatics moreMaster Thesis Preparation SELector: FH-Prof.in Mag.a Dr.in Alexandra Graf0.5SWS1ECTS> 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> 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 methodsPractical exercise, presentationTeaching methodsVortrag, Diskussion und praktische Beispiele.LanguageGerman-English> Master Thesis Supervision AP Bioinformatics moreMaster Thesis Supervision APLector: FH-Prof.in Mag.a Dr.in Alexandra Graf0SWS1ECTS> Master Thesis Seminar SE Bioinformatics moreMaster Thesis Seminar SELector: FH-Prof.in Mag.a Dr.in Alexandra Graf1SWS1ECTS> Transcriptomics and Genomics Practice UE Bioinformatics moreTranscriptomics and Genomics Practice UELector: FH-Prof.in Mag.a Dr.in Alexandra Graf1.5SWS3ECTSLecture contentsThe exercise should give students the option of working with software and programs introduced in the lecture Transcriptomics and Genomics.Assessment methodsPractical examples, DataCamp coursesTeaching methodsDataCamp, Moodle, 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.