Felix Grünberger, PhD
  • Home
  • Expertise
  • Projects
  • Publications
  • About
MOLECULAR BIOLOGY · ANALYTICAL WORKFLOWS · DATA

Connecting molecular experiments with reliable, interpretable data

I combine experimental biology with sequencing and quantitative analysis to generate high-quality data from complex biological systems.

My work spans experimental design, sample quality, workflow development, analysis and communication — with a focus on robust methods and clear biological interpretation.

Experimental biology Sequencing & omics Data analysis Reproducible workflows

Selected projects Publications

FROM QUESTION TO INTERPRETATION

Move through the steps to see how experiments and analysis connect.

CURRENT FOCUSDefine the question, controls and readouts that make the experiment interpretable.
EXPERTISE

From molecular systems to interpretable data

A broad experimental foundation combined with quantitative analysis, quality-aware workflow development and reproducible scientific computing.

Molecular & experimental biology

Experimental design across molecular biology, microbiology and biochemistry, including nucleic-acid, protein and functional assays.

Molecular biologyMicrobiologyAssays

Analytical workflow development

Method selection, sample preparation, QC criteria, troubleshooting and adaptation to non-standard biological systems.

Sample prepQCMethod development

Sequencing & omics

Short- and long-read workflows for DNA and RNA, from sample preparation and quality control to analysis-ready data.

IlluminaNanoporeTranscriptomics

Data analysis & reproducible workflows

Statistical analysis, visualization and biological interpretation using R, Bioconductor and complementary computational tools.

R / BioconductorStatisticsQuarto
Explore methods and expertise →
SELECTED PROJECTS

Work built around questions, quality and interpretation

Each project connects the biological question with the method, the data-quality strategy and the way results are communicated.

Stylized long-read RNA workflow.
SINGLE-MOLECULE SEQUENCING

Resolving RNA heterogeneity and processing

Nanopore RNA and cDNA workflows developed to reveal transcript boundaries, processing intermediates and complete molecular states.

View project →

Stylized transcriptomics and proteomics integration.
TRANSCRIPTOMICS × PROTEOMICS

Following stress responses across molecular layers

Time-resolved integration of transcript and protein data to distinguish immediate regulation from delayed cellular responses.

View project →

Stylized sample quality and workflow evaluation.
SAMPLE QC × WORKFLOW EVALUATION

Designing workflows around data quality

Sample integrity, method fit, controls and documentation considered together before complex workflows move into routine use.

View project →

See all selected projects →
AT A GLANCE
10+
years across molecular biology, sequencing and quantitative analysis
17
peer-reviewed publications from interdisciplinary and international collaborations
End-to-end
workflow experience from study design and sample QC to analysis and interpretation
Academic + industry
collaborative workflow development, platform evaluation and technical problem-solving
Technical support
method selection, difficult samples, troubleshooting and data interpretation
Reusable methods
documented workflows, pipelines and training that support adoption across teams
RECENT OUTPUT

Selected publications

2026 · PLOS Genetics

CsmR controls motility and cell shape in Haloferax volcanii

Comparative transcriptomics and ChIP-seq identify a regulator connecting archaeal motility and morphology.

Open publication →

2025 · Cell

Pan-modification profiling of the thermoregulated ribosomal epitranscriptome

Cross-species analysis of dynamic ribosomal RNA modifications and thermal adaptation.

Open publication →

2025 · ACS In Focus

Single-Molecule Sequencing of RNA

A methods-focused guide to RNA sequencing using single-molecule technologies.

Open publication →

View complete publication list →

© 2026 Felix Grünberger

 
  • LinkedIn

  • Google Scholar

  • ORCID

  • GitHub

  • Email