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 : Copper (II) complexes as potential anticancer agents
Salah S Massoud, University of Louisiana, United States
Title : Pharmacogenomics: current status and future directions
Matthias Schwab, University of Tübingen, Germany
Title : Talus bone of the hindfoot: Unique anatomy and an important clinical implication
Abdelmonem Awad Hegazy, Zarqa University, Jordan
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 : Effect of Fluvoxamine on Interluekin-6 level of COVID-19 patients, hospitalized in ICU: A randomized clinical trial
Mitra Safa, Shahid Beheshti University of Medical Sciences, Iran (Islamic Republic of)
Title : Precision Treatment of Alzheimer's
Boris Tankhilevich, Magtera, Inc., United States