Computational and analytical support for complex biological research.
Scilytica is an independent computational biology company supporting research teams through analytical services, applied research, and scientific software development. We design, evaluate, and develop computational approaches in relation to the study design, available data, and assumptions behind the methods. Analyses are implemented in reproducible software and documented workflows.
Current work focuses on single-cell, spatial, and multi-omics research.
Research
Understanding how computational methods behave across datasets, assays, and study designs.
TN-003 reports an evaluation of a locked kidney reference applied to independent Xenium samples. It documents the mapping procedure, comparison with a simpler locked method, and cell types that need further investigation.
ANA-018 is examining a related question across CosMx and Xenium, using separate measurement models and a shared single-nucleus RNA-seq reference and label ontology.
TN-003 is published. Study design and validation for ANA-018 are in progress.
Analytical services
Computational biology, method evaluation, and reproducible workflows.
Computational biology and analytical development
Focused analysis for single-cell, spatial, and multi-omics research.
→02Technical method evaluation
Controlled comparisons to understand how method choices affect results.
→03Reproducible analysis workflows
Traceable implementations that research teams can review, maintain, and extend.
→04Computational performance and infrastructure
Practical improvements when scale, cost, or reliability constrain the analysis.
→05Computational research planning
Computational and analytical contributions to biological studies and collaborative proposals.
→Methods and software
Tools developed from recurring analytical work.
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