GenoML, formal launch plus info sheet on arxiv.
Really proud to say that we formally launched GenoML today with the posting of it’s info sheet on arxiv …
Dementia progression subtyping and longer term disease trajectory prediction via machine learning..
Really interesting work from Faraz Faghri and co. Updated results using multi-modal data within a machine learning framework to subtype dementia and predict progression rates of cognitive decline.
Supporting open science with the first data science specific IDIQ at NIH!
“It’s just a matter of the pieces that you have around you and what you can do to elevate everybody else.”
Kobe Bryant
Very proud to announce on behalf of the team at DTI that everyone’s hard work has paid off. Yesterday we were awarded the first data science specific IDIQ contract (indefinite deliverable / indefinite quantity) in the history of the National Institutes of Health (NIH). Competition was tough but we made it!
CRISPRbrain is live! A data commons for functional genomics screens in differentiated human cell types.
CRISPRbrain is an amazing resource for functional genomics screens in human cell types. This data commons is laying the #openscience foundation for a ton of high-throughput unbiased screens in the future. Its goal is to organize and standardize results from such screens carried out by different research groups, and to enable users to explore, visualize, and compare them…
IPDGC hackathon - June 8th and 9th 2020
Socially distant hackathon lead by DTI’s Hampton Leonard using data from the International Parkinson’s Disease Genomics Consortium (IPDGC) …
Pre-Print: Sex/gender differences in Parkinson’s disease progression.
From this meta-analysis, females are at a greater risk of cognitive issues as Parkinson’s disease progresses.
What we've been up to lately.
March 1, 2017
Data Tecnica is pleased to announce a long term agreement to support data science at the National Institute on Aging’s Laboratory of Neurogenetics. We’ll be doing a lot of analyses with the International Parkinson’s Disease Genomics Consortium and its collaborators, with some really interesting results already on their way.
January 1, 2017
We are in the process of wrapping up some really interesting work with Google Genomics. This includes cloud-based processing and analytics support for over 12,000 exomes and 5,000 genomes across more than a dozen international research centers.
For more information, visit the project webpage.