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The PanHunter Platform
EVOTEC'S HIGH-THROUGHPUT
TRANSCRIPTOMICS PLATFORM
At the beginning of the millennium,
the field of transcriptomics
dramatically changed with
the invention of RNA-Seq, a
method based on next-generation
sequencing (NGS) techniques.
The high-throughput transcriptomics
NGS approach developed
at Evotec was inspired by the
elegant strategy of individual
sample barcoding and pooled
library preparation originally used
in single cell RNA-Seq workflows.
The most important parameters
of generated sequencing
PanHunter architecture
INTERPRETATION
Differential expression
Pathway enrichment
Clinical data statistics
ANALYSIS
Dimensionality reduction
Differential analysis
GWAS/eQTL
Survival analysis
DATA
RNA-Seq
Mass Spec
SNP arrays
Multi-omics correlations
GO term enrichment
Drug / disease signatures
ML / AI
Cell-type annotation
Tox prediction
GWAS/eQTL
Disease prediction
libraries are the diversity and the
purity of the library. The diversity
we define as the number
of counts, or mRNA molecules,
detected with a given sequencing
depth. The purity shows the size
of the fraction of library molecules
lacking the proper well
barcode sequence and reflects the
specificity of enzymatic steps.
Evotec now has a robust
automated cost-efficient technology
able to detect up to a
million mRNA molecules per
well. Remarkably, the established
generic protocol is performing
stably over diverse set of cell
systems, including more than 25
cell types and even 3D microtissues.
-
EVOTEC'S
PANHUNTER
BIOINFORMATICS PLATFORM
As with many exciting new
technologies, such as NGS the
amount and complexity of data
generated quickly grows to a
level where specialised tools and
software are necessary to manage,
analyse, and interpret them in a
biologically meaningful way.
Evotec has taken up this
challenge by developing the
PanHunter platform, which offers
a comprehensive and consistent
workbench for multi-omics
projects at industrial scale.
PanHunter combines data from a
variety of different sources:
Genomics
Transcriptomics
Proteomics
Metabolomics
Specialised CRISPR screens
Cell painting and more ...
With NGS, for example, it
Gene metadata & clinical data
WGS
scRNA-Seq
covers the entire pipeline:
Storing and managing the
initial sequencing data
Quality control and differential
expression analysis
Investigating the implications
for down-stream processes,
18
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evotec_Nov23_PanOmicsDriven

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