Karsten Voigt

A method for characterizing phenotypic changes in highly variable cell populations and its application to high content screening of Arabidopsis thaliana protoplasts

Joshua D. Kangas, Joshua D Kangas, Gregory R. Johnson, 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

A framework for the computational prediction and analysis of non-coding RNAs in microbial environmental populations and their experimental validation

W. Hess, C. Steglich, Karsten Voigt, 2020, The ISME Journal.

Analysis of a photosynthetic cyanobacterium rich in internal membrane systems via gradient profiling by sequencing (Grad-seq)

B. Maček, W. Hess, Philipp Spät, 2020, bioRxiv.

Dataset for metatranscriptome analysis of Prochlorococcus-rich marine picoplankton communities in the Gulf of Aqaba, Red Sea.

D. Lindell, W. Hess, C. Steglich, 2015, Marine genomics.

finDr: A web server for in silico D-peptide ligand identification

Steffen Wolf, M. Köhn, B. Di Ventura, 2021, Synthetic and systems biotechnology.

Alkane Biosynthesis Genes in Cyanobacteria and Their Transcriptional Organization

W. Hess, C. Steglich, Stephan Klähn, 2014, Front. Bioeng. Biotechnol..

The cyanobacterial phytochrome 2 regulates the expression of motility-related genes through the second messenger cyclic di-GMP

A. Wilde, V. Kaever, Karsten Voigt, 2020, Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology.

Comparative transcriptomics of two environmentally relevant cyanobacteria reveals unexpected transcriptome diversity

Björn Voß, Wolfgang R Hess, Claudia Steglich, 2014, The ISME Journal.

patcHwork: a user-friendly pH sensitivity analysis web server for protein sequences and structures

Barbara Di Ventura, Karsten Voigt, M. A. Öztürk, 2022, bioRxiv.

The role of the Synechocystis sp. PCC 6803 homolog of the circadian clock output regulator RpaA in day–night transitions

A. Wilde, D. Kopp, Karsten Voigt, 2018, Molecular microbiology.

A framework for the computational prediction and analysis of non-coding RNAs in microbial environmental populations and their experimental validation

W. Hess, C. Steglich, Karsten Voigt, 2020, The ISME Journal.