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Teaching Overview

Teaching at TU Braunschweig

PuckerLab website: Pucker lab website at TU Braunschweig

MB09 - Introduction to Biochemistry and Bioinformatics of Plants

Material used in this course can be found here.

GE31/MM12 - Applied Plant Genomics

Material used in this course can be found here. Scripts and instructions of the bioinformatics component are available here.

GE32/MM12 - Data Literacy in Plant Sciences

Material used in this course can be found here. Scripts and instructions of the bioinformatics component are available here.

BB34 - Python for Life Scientists

Material used in this course can be found here.

FRX - Data Literacy in Genome Research / Genomics

Material used in this course can be found here.

GE33 - Applied Plant Transcriptomics

Material used in this course can be found here.

LMChemBSc-12 - Molecular Plant Biology for Food Chemists (in preparation)

Material used in this course can be found here.

iGEM @ TU Braunschweig

iGEM2023 @ TU Braunschweig

PuckerLab is hosting the TU Braunschweig iGEM team 2023.

iGEM

iGEM2022 @ TU Braunschweig

PuckerLab hosted the TU Braunschweig iGEM team 2022.

iGEM

Teaching at Bielefeld University (CeBiTec)

Applied Python Programming for Life Scientists

The intention of this course is to enable life scientists with different backgrounds to solve their own data analysis issues by writing Python scripts for the automatic processing. Evaluation results of this course are discussed here. All materials are available for re-use (CC-BY 4.0).

Applied Python Programming for Life Scientists - github repository

APPLS

Applied Genome Research

This course provides an overview of bioinformatic methods frequently used in genome research. Participants run all analysis on real data sets. Evaluation results of this course are discussed here. All materials are available for re-use (CC-BY 4.0).

Applied Genome Research - github repository

Applied Genome Research course content overview

Molecular Methods in Genome Research

This course provides an overview of molecular biology methods frequently used in genome research. Participants run all analysis on real data sets. Each participant is performing a different experiment. Evaluation results of this course are discussed here. All materials are available for re-use (CC-BY 4.0).

Molecular Methods in Genome Research - github repository

Molecular Methods in Genome Research course content overview

Synthetic Biology (iGEM): Bielefeld-CeBiTec

iGEM is the biggest synthetic biology competition for students. Teams from Bielefeld are participating since 2010. Detailed information about iGEM at the Center for Biotechnology (CeBiTec) at Bielefeld University is available here:

iGEM Bielefeld-CeBiTec

iGEM CeBiTec

Bielefelder certificate of higher education

In 2017, I received the Bielefelder Certificate in Higher Education. Details are available here (in German). A description of my teaching project is available here (in German).

higher education certificate

Fellowship Digital innovations in higher education

A fellowship provided by the Stifterverband supported the development of a digital lab book for practical courses in the life sciences. 'Molecular Methods in Genome Research' was implemented as part of this fellowship. A detailed project description can be found here (in German).

Stifterverband Logo Exzellenz in der Lehre Logo

References

Teaching publications

Wolff, K.; Friedhoff, R.; Schwarzer, F.; Pucker, B. (2023). Data Literacy in Genome Research. Journal of Integrative Bioinformatics, 2023, pp. 20230033. doi: 10.1515/jib-2023-0033.

Friedrich, A., & Pucker, B. (2018). Peer-review as a teaching method. Working Paper der AG Forschendes Lernen in der dghd, 2, 2018. Carl von Ossietzky Universität Oldenburg.PDF

Pucker, B. Schilbert, H.M., Schumacher, S.F. (2019). Integrating Molecular Biology and Bioinformatics Education. Journal of Integrative Bioinformatics. doi:10.1515/jib-2019-0005.

Data set publications

Pucker, B., Holtgräwe, D., Rosleff Sörensen, T., Stracke, R., Viehöver, P., and Weisshaar, B. (2016). A de novo Genome Sequence Assembly of the Arabidopsis thaliana Accession Niederzenz-1 Displays Presence/Absence Variation and Strong Synteny. PloS-ONE 11:e0164321. doi:10.1371/journal.pone.0164321.

Haak, M., Vinke, S., Keller, W., Droste, J., Rückert, C., Kalinowski, J., & Pucker, B. (2018). High Quality de novo Transcriptome Assembly of Croton tiglium. Frontiers in Molecular Biosciences, 5. doi:10.3389/fmolb.2018.00062.

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