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The PanHunter Platform
" Omics-driven drug discovery is the corner
stone of disease understanding on the
molecular level and the fast lane to cures! "
Cord Dohrmann, CSO of Evotec SE
abundance/activity information for all genes. For
other omics types, e.g., the genotype for all single
nucleotide polymorphisms (SNPs) of all individuals
is determined (genomics), the relative abundance of
proteins for all samples is quantified (proteomics),
or the amount of certain metabolites is measured
(metabolomics).
For all these quantification steps, PanHunter
has its own, versatile, and robust pre-processing
pipeline that can ingest the raw data and information
from a variety of locations. Additionally, the
software provides the necessary assistance tools
to the user, to supplement the omics data with the
experimental meta data (e.g., which tissue type,
treatment, or time point belongs to which sample).
Once all this information is integrated and available
within PanHunter, the users can use them for differential
analysis, to identify significantly regulated
features (e.g., up- or downregulated genes, proteins,
or metabolites), or statistical correlation testing, for
example when trying to identify molecular marker
genes based on the abundance of certain clinical
parameters or survival rates.
Moreover, PanHunter offers dedicated tools for
specific omics data types, like single-cell or spatial
transcriptomics. For example, it is easily possible
for single-cell datasets to perform the key tasks of
cell type clustering and annotation, with or without
the assistance of machine-learning algorithms, or
for spatial transcriptomics to associate a given cell's
gene activity information with the exact location on
its originating histological slice.
After all, PanHunter became the central platform
for inter disciplinary omics data analysis in a large
variety of internal and external projects and keeps
growing constantly.
34
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evotec_Nov23_PanOmicsDriven

Table of Contents for the Digital Edition of evotec_Nov23_PanOmicsDriven

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