1 code implementation • 23 May 2017 • Wayne Joubert, James Nance, Sharlee Climer, Deborah Weighill, Daniel Jacobson
The massive quantities of genomic data being made available through gene sequencing techniques are enabling breakthroughs in genomic science in many areas such as medical advances in the diagnosis and treatment of diseases.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms Performance 65Y05 [Computer aspects of numerical algorithms: Parallel computation], 68W10 [Algorithms: Parallel algorithms]
1 code implementation • 23 May 2017 • Wayne Joubert, James Nance, Deborah Weighill, Daniel Jacobson
The surge in availability of genomic data holds promise for enabling determination of genetic causes of observed individual traits, with applications to problems such as discovery of the genetic roots of phenotypes, be they molecular phenotypes such as gene expression or metabolite concentrations, or complex phenotypes such as diseases.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms Performance 65Y05, 68W10
no code implementations • 11 Jan 2021 • Deborah Weighill, Marouen Ben Guebila, Kimberly Glass, John Platig, Jen Jen Yeh, John Quackenbush
This example demonstrates that gene targeting scores are an invaluable addition to gene expression analysis in the characterization of diseases and other complex phenotypes.
1 code implementation • 4 Apr 2021 • Katherine H. Shutta, Deborah Weighill, Rebekka Burkholz, Marouen Ben Guebila, Dawn L. DeMeo, Helena U. Zacharias, John Quackenbush, Michael Altenbuchinger
The increasing quantity of multi-omics data, such as methylomic and transcriptomic profiles, collected on the same specimen, or even on the same cell, provide a unique opportunity to explore the complex interactions that define cell phenotype and govern cellular responses to perturbations.
