Data Science at The Jackson Laboratory (JAX Data Science) is a preeminent center created to facilitate data driven discovery worldwide, advancing the JAX mission to improve human health. Led by renowned data scientist Paul Flicek, D.Sc. and based in Portland, Maine, JAX Data Science will lead a worldwide transformation in biomedical data science that leverages JAX’s unique expertise in mammalian genetics, robust life sciences datasets and the incredible advances in artificial intelligence and machine learning.
The massive expansion of biological data collections in the last 20 years alongside dramatic developments in artificial intelligence has created an unprecedented opportunity for using data to integrate human and mammalian model research, unlock biological insights, and empower the biomedical community worldwide. To meet this challenge, JAX Data Science brings together scientists, software engineers and other skilled personnel while also building local, national and international partnerships that will allow researchers to integrate their data, tools and discoveries, amplifying the impact of these collective contributions.
Images represent a large proportion of all measurements made in biomedical research, including microscopy slides and 3-D magnetic resonance (MRI) or computed tomography (CT) images. Automated image analysis can interpret image data of high volume and complexity in an efficient and reproducible way. For training opportunities in image analysis, visit Data Science Training & Events.
CKB is a dynamic digital resource for interpreting complex cancer genomic profiles. Visit CKB website.
The massive expansion of biological data collections in the last 20 years alongside dramatic developments in artificial intelligence has created an unprecedented opportunity for using data to integrate human and mammalian model research, unlock biological insights, and empower the biomedical community worldwide. To meet this challenge, JAX Data Science brings together scientists, software engineers and other skilled personnel while also building local, national and international partnerships that will allow researchers to integrate their data, tools and discoveries, amplifying the impact of these collective contributions.
Machine learning (ML) extracts knowledge from data and focuses on prediction. ML learns from our data how to make decisions for future observations including applications in science, such as personalized cancer treatment, medical diagnoses, and drug discovery. Learn more at Scikit.
The JAX Genetic Diversity Initiative is a strategic effort to increase the awareness and availability of diversity mouse populations and associated tools across the research community. These populations are powering a revolution in model organism research that will enable major advancements in the understanding of complex genetic traits.
The JAX Bioinformatics Training Program aims to build data science talent at JAX by providing training in scientific computing and data analysis.
Data Science Highlights
-
Press ReleaseMarch 11, 2024JAX and LG AI Research partner to pioneer biomedical advancements
Two world-leading organizations are partnering to further expand AI capabilities in biomedical science and catalyze medical progress. -
Research HighlightDecember 28, 2023Gene Expression Database for Mouse Development named a Global Core Biodata Resource
The Gene Expression Database for Mouse Development has been named a Global Core Biodata Resource in the 2023 selection round. -
Featured ArticleOctober 24, 2023Applying AI and machine learning to complex research tasks
JAX researchers are at the forefront of developing and implementing AI-based technologies for a variety of research applications. -
Profile StoryJune 19, 2023What happens to the brain after a stroke?
Mary Teena Joy investigates what happens to the brain after a stroke and how to enhance brain neural rewiring to improve recovery.
-
Blog PostFebruary 09, 2024Five lessons learned since sequencing the 1st human genome
Five major lessons learned since sequencing the 1st human genome. -
Press ReleaseOctober 25, 2023International Mammalian Genome Society recognizes JAX Scientists
Scientists from JAX are being recognized for their outstanding achievements by the IMGS, a group that fosters research in mammalian genetics, and represents its members in their professional activities. -
Research HighlightJuly 19, 2023JAX team contributes to the Human BioMolecular Atlas Program
Paul Robson is leading a JAX team as part of the Human BioMolecular Atlas Program. A new paper in Nature Cell Biology presents the work done to date to establish the program’s frameworks as well as future steps. -
Blog PostFebruary 27, 2023Examining the power and potential of the Cube
A synopsis of what The Cube Initiative is at JAX and why it may have a marked impact on the bridge between research and clinical application.