Computational Sciences (CS)

Computational Sciences (CS), part of Data Science at The Jackson Laboratory, supports JAX's researchers and collaborators in the application of advanced computational and analytical approaches to complex, data-intensive biological problems; development of scientific software applications that facilitate access, visualization and sharing of data and algorithms with the scientific community; and development of new scientific projects and platforms to arrive at novel, relevant and interesting biological inferences. CS also works with JAX researchers and product managers to design, develop and operate integrative platforms essential for successful delivery of the JAX's research data and service products. In addition, CS provides support for grant applications; project planning & design; data movement & management; and consultation & training in scientific computing, bioinformatics and biostatistics.

This service is only available to faculty and researchers at The Jackson Laboratory.

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JAX and LG AI Research partner to pioneer biomedical advancements

The Jackson Laboratory 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.

Five lessons learned since sequencing the 1st human genome

5 things we’ve learned since sequencing the 1st human genome

Five major lessons learned since sequencing the 1st human genome.

Gene Expression Database for Mouse Development named a Global Core Biodata Resource

Gene Expression Database named a Core Biodata Resource

The Gene Expression Database for Mouse Development has been named a Global Core Biodata Resource in the 2023 selection round.

International Mammalian Genome Society recognizes JAX Scientists

JAX scientists recognized by International Mammalian Genome Society

Three scientists from The Jackson Laboratory are being recognized for their outstanding achievements by the International Mammalian Genome Society (IMGS), a group that fosters research in mammalian genetics, and represents its members in their professional activities.

Applying AI and machine learning to complex research tasks

Applying AI to complex biomedical research tasks

JAX researchers are at the forefront of developing and implementing AI-based technologies for a variety of research applications.

JAX team contributes to the Human BioMolecular Atlas Program

Constructing a map of the human body at the highest resolution

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.

How can stroke recovery be improved?

Mary Teena Joy investigates what happens to the brain after a stroke and how to enhance brain neural rewiring to improve recovery.

Examining 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.

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