Use Big Data without
the Chaos
Datirium’s team pioneered a streamlined approach to data analysis that empowers researchers to quickly gain insights from big data without becoming a data analyst.
From Data to Insights
We aim to advance science and improve human health,
by providing biomedical scientists with tools that
simplify and speed up analysis of Big Data.
by providing biomedical scientists with tools that
simplify and speed up analysis of Big Data.
Our mission is to empower
scientists to quickly gain
insights from big data
Use Big Data without
Trusted by scientists at
Our Products
Leadership
Andrey Kartashov
Mr Kartashov is a scientific programmer who performed data analysis in areas ranging from space science to physical chemistry and now for functional genomics. He is the developer behind SciDAP, a platform for analysis of epigenomics and transcriptomics data that helps researchers to organize, visualize, analyze, store and share vast amounts of NGS data and results.
Artem Barski, PhD
Dr Barski is an epigenomics pioneer and a faculty member at Cincinnati Children’s Hospital. During his post-doctoral training at NIH, he took part in the development of ChIP-Seq. Now he is working on epigenomics of T cells and developing computational and wet lab tools for functional genomics.
Team
Mark Dorfmueller
Entrepreneur in residence
Sean Crowley
Software Engineer
Robert Player
Bioinformatician
Join our team!
The Datirum team includes a wide spectrum of biology, bioinformatics and information technology expertise, which gives us a unique and integrated perspective on analysis of biological Big Data.
Available positions
History
Datirium
Artem Barski, an epigenomics researcher, started his laboratory to study epigenetic regulation of T cell memory at Cincinnati Children’s in 2010. Epigenomics experiments produced huge amounts of data and Artem started collaborating with Andrey Kartashov, a software developer, to get these data analyzed. After analyzing multiple datasets, Andrey got bored with the repetitive nature of work and proposed to automate data analysis by developing a platform that will allow trainees in Artem’s lab to analyze and explore data by themselves. This new platform, BioWardrobe, quickly became popular among the pair’s Cincinnati colleagues. When researchers from other institutions wanted to use the platform, Artem and Andrey started their company, Datirium (Data + Delirium), which set up BioWardrobe at other institutions such as NYU and UTSW.
SciDap
However, it quickly became clear that the platform developed for use at one institution was too difficult to install and maintain. Furthermore, it was very difficult to modify existing and add new analysis pipelines. To solve this problem, Datirium co-founders applied for funding from NIH small business program to develop the next generation Scientific Data Analysis Platform, SciDAP. After receiving NIH phase I grant 2020, the work to develop the platform started in earnest. SciDAP uses Common Workflow Language and modular design to make analysis open, portable and easy to modify. Now SciDAP is used at some of the Nation’s top research institutions including University of Michigan, Fox Chase Cancer Center, Texas A&M University, NYU and others.
SciBox
Seeing that many laboratories do not have hardware powerful enough for running SciDAP, Datirium developed SciBox, a data processing and storage solution optimized for the analysis of scientific data.
Roadmap
2016
Datirium Started
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2020
Datirium receives NIH phase I small business grant to develop SciDAP
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2021 Apr
SciDAP is launched
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2021 Dec
Datirium goes through NIH iCorps program to determine SciDAP product market fit
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2022
Datirium receives funding from Ohio Third Frontier Foundation Start-Up Fund
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