ISM BIOINFORMATICS
Bioinformatics and data science consulting for life sciences. I help research teams and companies turn complex biological data into reproducible, interpretable results.
Clarity hidden in Complexity
Modern life-science datasets are large, noisy and heterogeneous. Research teams and institutions increasingly need transparent, statistically rigorous analysis to turn these data into reliable scientific insight.
High-Dimensional Data
Most NGS datasets contain far more features than samples. Without careful modelling, this increases variance and hides real biology behind statistical noise.
Sparsity and Dropout
Single-cell and sequencing data contain many zeros and low counts. Distinguishing technical loss from true absence strongly affects interpretation.
Batch & Technical Structure
Library prep, sequencing runs, and labs introduce systematic bias that can exceed biological signal. Correction is essential for credible inference.
Biology Acts in Networks
Phenotypes emerge from coordinated regulatory programs — not single genes. Network-level rewiring, enhancer activity, and cell-state transitions must be resolved to explain mechanism.
+41 34 123 12 12
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5034, Suhr (AG)