Target ALS Data Engine
Accelerating discovery through open data.
A first-of-its-kind platform for ALS research
The Target ALS Data Engine, developed with DNAstack and Verily, delivers no-strings-attached access to the most diverse and comprehensive ALS datasets available.
By integrating genomics, transcriptomics, proteomics, imaging, clinical, environmental history, and digital biomarker data from multiple digital health technologies into a single resource, the Data Engine enables researchers worldwide to accelerate biomarker discovery and therapeutic development.
What's in the Target ALS Data Engine?
Through the Data Engine, researchers can explore and analyze multi-omic datasets generated by our Research Cores.
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Postmortem Tissue Core
This collection contains a wide range of data generated from postmortem brain and spinal cord tissue from ALS, FTD, ALS-FTD, and non-neurological control cases.
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Stem Cell Core
This collection includes data generated from undifferentiated and differentiated (motor neuron) induced pluripotent stem cell (iPSC) lines derived from eleven ALS and non-neurological subjects.
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Global Natural History Study (GNHS)
This collection includes data generated from longitudinal biofluids collected via our GNHS, which aims to enroll at least 800 participants with ALS and 200 healthy controls.
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Community Based Clinics
This collection includes data generated from one-time blood samples collected through our Community Based Clinics, which aim to reach 7,000 participants in diverse communities.
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HiFi Long Read Sequencing
This collection includes data from across all Target ALS collections that include long-read sequencing data.
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