Anthropology and Human Genetics

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We think that genomic technologies and especially the associated computational and statistical skills are a crucial part of modern life science curricula. We will try to accommodate this at all levels in our teaching. You can find all our taught courses at the course catalogue (LSF). For general information for students and curricula see the website of our faculty.






Wir sind (mit-)verantwortlich für folgende Kurse:


P 12 Modul "Humanbiologie 1":

    • Zweite Hälfte der VL und der Übung zur VL
    • Praktische Übung

Vorlesung "Biologie für Studierende der Zahnmedizin".


Vorlesung und Übung "Pretty Plots - Visualisierung statistischer Daten" (berufsqualifizierend)

Vorlesung "Biologie für Nebenfächer", Teil 2 (3 Tage zur Humanbiologie).




We are contributing to the following master programs:

    • Evolution, Ecology and Systematics
    • Human Biology - Principles of Health and Disease (starting in 2018)
    • Molecular and Cellular Biology (starting in 2018)
    • Neurosciences
    • Biology.

We are (co-)responsible for the following courses:

Winter semester

Lecture "Human genomics I"

Seminar "Current topics in Statistical Genomics" (especially for advanced students and/or students doing their theses/research course in our lab)

Seminar and Practical course "Computational analysis of RNA-Seq data"

Practical course "Computational biology in molecular and cellular biology" (R-week). 


These classes are supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.


Summer semester

Lecture "Human Genomics II"


    • "Current topics in Statistical Genomics" (especially for advanced students and/or students doing their theses/research course in our lab)
    • "Induced pluripotent stem cell technologies"
    • "Cancer Evolution".

Practical course "Pretty plots".


Further information is available on the faculty website on Master Programs as well as in the course catalogue (LSF).


Master Molecular and Cellular Biology

Please refer to the LSF and the curriculum overview for possible modules. For students interested in our teaching activity we suggest the following modules (many other options exist though):


red: required courses, blue: elective courses.
Pr: practical course, S: seminar, L: lecture, R-Pr: research project, D: disputation, C: colloquium, Be: vocational course.

Research Courses

Please consult the guidelines for research courses available here.

Internal Research Courses

In general, we expect that RC or IRT (Master EES) applicants have visited our lectures, seminars and/or our practical master courses. We offer two types of RCs:

    • Comparative Primate Genomics:
      please apply to; this involves RCs that are mainly wet lab and involve our research of Foxp2, cancer evolution, primate iPSCs and (single-cell) RNA-seq
    • Computational Genomics:
      please apply to; this involves RCs that are computational and involve our research of cancer evolution, regulatory evolution and population genomics; programming skills and/or statistical skills are mandatory and hence participation in Pretty Plots and/or Computational analysis of RNA-Seq data.

When applying please provide your CV, your record of transcripts, a short description of your motivation and the approx. timeframe you would be able to do your RC.


External Research Courses

If you want to do an external RC please do the following:

  1. Write an email to and ask if he would be willing to serve as an internal supervisor for your RC, providing:

    a.   a research proposal (about 1/2 page, incl tentative title) written by the student including beginning and end of his/her internship
    b.   an official letter (by email) from the direct supervisor and a project description including support and supervision in the lab and the methods which will be used and an approximate time schedule
  2. If we agree to be the internal supervisor, you will need a written statement from Wolfgang Enard to register the RC at the Prüfungsamt
  3. After the research course please provide per email to Wolfgang Enard:

    a.   a written protocol (pdf; about 20 pages)
    b.   the final timeframe and requested ECTS
    c.   a confirmation (by email) from the direct supervisor confirming the correctness of the protocol and the correctness of the requested timeframe and ECTS
  4. Upon completion the Prüfungsamt (CC student) will receive an email confirming the external RC by Wolfgang Enard.


Bachelor and Master Theses

Our bachelor theses projects are presented at the annual bachelor fair in December.

For master theses we generally expect people to have participated in our courses and have done a Research course in our lab. We offer computationally oriented projects (contact Dr. Hellmann, and experimentally oriented projects (contact Professor Dr. Enard,