Automating biomedical data science pipelines for efficiency, interoperability and reproducibility.

At DataTecnica, we really care about high quality open science. Why not automate your workflows to generate gold standard data and resiuts at scale?

Two pipelines we have built for data generation, analysis and QC/QA are ProtPipe and GenoTools, both recently published in peer reviewed journals. They are end-to-end packages taking your team from raw data to pilot results. GenoTools automates most genetics lab functionality for both array and sequence data, while Protpipe does the same for array-based or mass-spect proteomics data.

These tools accomplish a few of our core goals at DataTecnica:

• Reproducible workflows for transparent science.

• Empowering researchers to be more efficient.

• Scalable tooling that has been thoroughly tested by processing data from hundreds of cohorts.

• Generating pre-harmonized and interoperable datasets for the research community.

• Modular and customizable for stakeholder needs in the future.

Please check out the white-papers here [ProtPipe and GenoTools] that show the capabilities of our team’s hard work as well as a video demo for GenoTools.

Next up, we are targeting open source and user friendly pipelines for multi-omics and spatial data for delivery to the research community by summer, as well as an updated ProtPipe (all underway)!

Shout outs to the team, in particular Dan Vitale, Ziyi Li, Cory Weller, Cole Tindall, Mat Koretsky, Hampton Leonard, Kristin Levine, Nicole Kuznetsov, Mary Makarious and many more!