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Big Data, Big Computation and the Genomic Jigsaw Puzzle

November 4, 2012

The second video in our series profiling MGHPCC seed fund collaborations
by Helen Hill
The human genome is made up of 3 billion base pairs. Reading the genome from a modern, high-speed sequencer is a lot like doing a big jigsaw puzzle. Computer Scientist, Assistant Professor Yanlei Diao (UMass Amherst) is leading a multi institution collaboration to develop next-generation, on-demand big computation services for managing and processing these massive amounts of genomic information.


Working with Li-Jun Ma, Assistant Professor in Plant, Soil and Insect Sciences (UMass Amherst), Professor Samuel Madden (MIT), Bai-Lin Wu (Harvard and Children's Hospital), Toby Bloom (the Broad Institute of Harvard and MIT), and James F. Gusella (Massachusetts General Hospital), Diao's project was one of 7 to receive seed funding, in the first round of such awards from the Massachusetts Green High Performance Computing Consortium in 2011.

In this video members of the team share the science behind their work, what each brings to the project as well as what harnessing high performance computing could bring to genomics, epigenomics and human health.
Thanks to the staff of the Genetics Diagnostic Lab at Children's Hospital, Boston for their help in making this video.

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer - Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
QuEra at the MGHPCC
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Measuring Neutrino Mass
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
All Research Projects

Collaborative projects

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Outreach & Education Projects

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