General

Data analysis

finding robust signals in an ocean of data

HOW WE WORK

Carefully define the question

Understanding precisely what you want to find out is essential for a successful data analysis project

Get appropriate data

The data to be investigated may be the output of your own machines or may be available in public databases.

If desired, we will search for data sources and provide you with an honest estimate about the suitability of the available data for the questions at hand.

Choose adequate methods

Robust conclusions can only be drawn if appropriate mathematical procedures were applied during the analyses.

We make sure of that.

Let the results tell a compelling story

Sometimes, excellent results have no impact because poor visualization doesn't get the message across.

Our broad expertise in visualization strategies will make sure that your audience appreciates a success story.

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visualizations

Skills of our pharma-centered team

Expertise of Arndt Brachat, Ph.D., founder and managing director

"Omics-" analyses

Pharmacogenetics
Machine learning / AI
Data flow pipelines

Data visualization

Clinical statistics
Human disease genetics
Biomarker strategy

(pre-clinical and clinical phase II-III)

Biomarker data analysis

Personalized medicine
Target discovery
Toxicology
Nucleic acid analytics lab management
Several programming languages

Some 20 years of experience in basic and pharmaceutical research in international and interdisciplinary teams:

Biochemistry

Functional genome analysis

Apoptosis

Cancer drug target discovery

Biomarker discovery

Biomarker data analysis

Clinical biomarker strategy and protocol design

Molecular drug action studies

Patient stratification

Precision medicine

Clinical project teams in multiple indications