Comprehensive measurement of the molecular state of cells whether singly or together in a tissue is rapidly redefining our understanding of disease and human development. It also demands constant advances in analytic techniques and computational engineering to support these techniques at the petabyte scale.
Areas of Focus
- Cancer Genomics
- Compressive Algorithms
- Human Variation
- Single Cell Genomics
- Michael Baym
- Nils Gehlenborg
- Heng Li
- Peter Park
- Shamil Sunyaev
- Kun-Hsing Yu
- Cheng-Zhong Zhang
- Marinka Zitnik
Ultimate Destiny (June 6, 2019)
Study illuminates how undifferentiated cells commit to their biological fate.
Decoding Cancer's Signature (April 15, 2019)
New algorithm IDs patients harboring a tumor-causing defect found in multiple cancers.
Getting into a Cell’s Head (August 8, 2018)
Scientists develop a way to monitor cellular decision making.
Agent of Mischief (December 13, 2016)
Loss of key protein unleashes cascade that culminates in rhabdoid tumor formation.
Linked-read analysis identifies mutations in single-cell DNA sequencing data (Nature Genetics, 2019)
RNA velocity of single cells (Nature, 2018)
SMARCB1-mediated SWI/SNF complex function is essential for enhancer regulation (Nature Genetics, 2017)