Biomolecular Strategies and Visualizations

Semester: SS 19
Lecturers: Univ.-Lekt. Dr. Tanja Gesell & Univ.-Lekt. Dr.rer.nat. Renée Schroeder

This course is based on the introduction lecture Biomolecular Strategies in WS 18/19. It provided three cornerstones: lectures, exercises, and a symposium.

During the lecture we learned more about DNA structure, genes, and genomes. Further we were trained to understand fundamental DNA assignments including genes, mutations, and diseases. From there we included topics such as replication and transcription, RNA, translation, the genetic code and proteins. Finally, visualizations both from an artistic point of view as well as from an engineering viewpoint were discussed with respect to current and fascinating challenges in molecular biology.

As for the task we built a DNA double helix and had computational exercises such as folding RNAs in silico, browsing through the human genome and learning basics of statistic and programming using the software package R. Moreover, we held a small student symposium which aimed at discussions with students about current challenges in molecular biology on the basis of different papers presented by the participants. Each student presented a paper and lead a discussion afterwards.


  • Eichler, Margrit; et al. “Gender Bias in Medical Research.” Women & Therapy 12, no.4 (1992): 61-70.
  • Hamberg, Katarina. “Gender Bias in Medicine.” Women’s Health 4, no. 3 (2008): 237-243.
  • Holdcroft, Anita. “Integrating the Dimensions of Sex and Gender into Basic Life Sciences Research: Methodologic and Ethical Issues.” Gender Medicine 4, no. 2 (2007): 64-74.
  • McGregor, Alyson J.; et al. “How to study the impact of sex and gender in medical research: a review of resources.” Biology of Sex Differences 7, no.1 (2015): 61-72.
  • Lawrence, Kitty; Rieder, Anita. “Methodologic and ethical ramifications of sex gender differences in public health research.” Gender medicine 4, no. B (2007): 96-105.

Individual Project
Format: Paper and Presentation
Topic: Gender Bias in Medical Research