The Computational and Statistical Genomics Branch works to develop and apply computationally intensive ways to evaluate large-scale genetic and genomic data, with a special focus on identifying genetic connections to human disease. Several approaches of increasing sophistication have been used to identify the etiology of genetic disorders. The development of new genetic approaches results in the generation of vast volumes of data that must be processed using statistical and computational methods. Innovation in molecular procedures, along with innovation in computer methods, enabled the development of new analytical approaches that could be used to solve even the most difficult problems. Statistical and computational genetics is an interdisciplinary field that is exciting and fast expanding.
Title : The role of ATP as a Hydrotrope in health and disease
Jack V Greiner, Harvard Medical School, United States
Title : Precision treatment of alzheimer's
Boris Tankhilevich, Magtera, Inc., United States
Title : Modeling competition between subpopulations with variable DNA content in resource limited microenvironments
Noemi Andor, H. Lee Moffitt Cancer Center & Research Institute, United States
Title : Progesterone receptor pathways in preterm birth
Beverlee Wood, Case Western Reserve University, United States
Title : The use of anti seizure medication therapeutic blood level determination to personalise the treatment of epileptic seizures especially in patients attending the accident and emergency department
Roy Gary Beran, University of New South Wales, Australia
Title : Monitoring folds localization in ultra-thin transition metal dichalcogenides using Optical Harmonic Generation
Ahmed Raza Khan, Australian National University, Australia