FH-Prof.in Mag.a Dr.in Alexandra Graf Research Staffalexandra.graf@fh-campuswien.ac.at T: +43 1 606 68 77-3602 F: +43 1 606 68 77-3609 Muthgasse 62 1190 WienPersonal WebspaceLectures 2020/21Applied 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 methodswritten 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 Graf3.5SWS7ECTSLecture 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 % Workshop: 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-EnglishPublications The publications of Alexandra Graf written at FH Campus Wien can be found in our publication database, others in the personal web space.
> 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 methodswritten 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 Graf3.5SWS7ECTSLecture 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 % Workshop: 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