| Bringing Maths to Life 2015 | |
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Italy - Na - Naples |
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| Hosted by: | CNR |
| Venue: | Partenope Conference Centre, Federico II |
| Dates: | Oct 19, 2015 through Oct 21, 2015 |
| Early Registration Deadline: | 2015-06-30 |
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Description |
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| Analysing and interpreting rich biological datasets require more expertise than just knowledge of the biological system at hand. Extracting reliable insights from complex bodies of data calls for suitable mathematical solutions. This workshop lets biologists and mathematicians join forces to address key areas in biology that face demanding mathematical challenges. Discussing existing cases to identify gaps or to share existing solutions should help these disciplines in successfully linking up. This years topics include: ◊ Genome Dynamics Technological advances that facilitate whole-genome and whole-population sequencing, coupled with experiments that ’watch’ evolution in action, have brought insights into studies of mutation rates and genome evolution. In this session, we discuss the molecular mechanisms and evolutionary processes that shape the structure and function of genomes and that govern genome dynamics. ◊ Pattern recognition Dynamics Motif searching in DNA, RNA and proteins is a key process to discover emergent properties of cells, tissues and organisms. It requires always more complex and comprehensive algorithms that can incorporate the growing up to date information from experimental sets. This session will provide an overview on current methods for motif searching and on experimental validation of motifs prediction. ◊ Dynamics of biological networks Complex biological functions and activities in living systems are often represented by networks. These networks are used to interpret physiological processes in the cell, pathological states for the whole organism, and to investigate the potential effects of drug therapies, to name a few. Several mathematical models and algorithms are available for the different tasks involved in their integration, analysis and characterization, although difficulties arise in case of big data and dynamic systems, both at local and global scale. We therefore envision novel algorithms, methods and software tool that can handle large networks varying over time in size and connectivity. ◊ Dynamics of polymorphisms Routine production of large data set resulted in a comprehensive catalogues of genetic variability and the knowledge of functional units of genomes improved thanks to the combination of effective prediction tools and large validation sets. Therefore the accuracy in the prediction of functional consequences of DNA mutations is improving, including the ability to foresee their putative detrimentality. In this session we want to provide two keynote examples of in silico prediction of functional consequences of mutations and experimental validation of genomic features. BMTL Workshop will be hosted in the ancient city of Naples, and will provide a timely and pertinent occasion for international researchers that wish to engage in cutting edge science at the interface of mathematics and biology. |
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| Additional Information | |
| Event URL: | http://www.bmtl.it/ |
| ISCB Member Discount: | None |
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