Wednesday, October 31, 2018, 12:00
- 13:00
Building 2 Room 5220
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Interpretation and simulation of the large-scale genomics data are very challenging, and currently, many web tools have been developed to analyze genomic variation which supports automated visualization of a variety of high throughput genomics data.
Wednesday, October 24, 2018, 17:00
- 18:30
Building3, Room 5209
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Recent advances in genome editing and metabolic engineering enabled a precise construction of de novo biosynthesis pathways for high-value natural products. One important design decision to make for the engineering of heterologous biosynthesis systems is concerned with which foreign metabolic genes to introduce into a given host organism.
Wednesday, October 17, 2018, 12:00
- 13:00
Building 2, Room 5220
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Sequencing has identified millions of somatic mutations in human cancers. Identifying and distinguishing cancer driver genes amongst the millions of candidate mutations remains a major challenge.
Wednesday, October 10, 2018, 12:00
- 13:00
Building 2, Room 5220
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The amount of available protein sequences is rapidly increasing, mainly as a consequence of the development and application of high ​throughput sequencing technologies in the life sciences.
Dr. Paul Schofield
Wednesday, July 25, 2018, 08:00
- 13:00
B3 Room 5220
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We will investigate how novel AI technologies, including progress in machine learning, knowledge representation and reasoning can be applied to improving diagnosis and ​treatment of cancer in the era of genomic medicine.
Wednesday, April 18, 2018, 10:00
- 11:30
Building 3, Room 5208
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In silico prioritization of undiscovered associations can help find causal genes of newly discovered diseases. Some existing methods are based on known associations and side information of diseases and genes. We exploit the possibility of using a neural network model, Neural Inductive Matrix Completion (NIMC) in disease-gene prediction.
Monday, March 19, 2018, 08:00
- 17:00
Building 9, Level 2, Hall 2
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We are now in the fourth paradigm of science: Data Science. The massive amount of structured and unstructured data has posed new challenges and opportunities to the fields of computer science and statistics. Traditional computational and statistical methods for data storage, curation, sharing, querying, updating, visualization, analysis, and privacy have been shown to fail in the big data scenario due to the unprecedented volume, velocity, variety, veracity and value of the big data. This conference will bring together a number of prominent researchers in Computer Science and Statistics with common interests and active research in big data, as well as the researchers at KAUST who regularly generate or face big data, such as those in bioscience and red sea research.
Friday, February 23, 2018, 09:00
- 16:30
University of Birmingham, United Kingdom
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KAUST Assistant Professor Robert Hoehndorf will be a keynote speaker at the 8th BEAR PGR Conference & Users Forum​ at the University of Birmingham in the United Kingdom.