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Genome Editing in Neurosciences

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Book Series: Research and Perspectives in Neurosciences ISSN: 0945-6082 / 2196-3096 ISBN: 9783319601915 9783319601922 Year: Pages: 123 DOI: https://doi.org/10.1007/978-3-319-60192-2 Language: English
Publisher: Springer
Subject: Neurology --- Genetics
Added to DOAB on : 2017-11-24 13:07:59
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Abstract

Innovations in molecular biology are allowing neuroscientists to study the brain with unprecedented resolution, from the level of single molecules to integrated gene circuits. Chief among these innovations is the CRISPR-Cas genome editing technology, which has the precision and scalability to tackle the complexity of the brain. This Colloque Médecine et Recherche has brought together experts from around the world that are applying genome editing to address important challenges in neuroscience, including basic biology in model organisms that has the power to reveal systems-level insight into how the nervous system develops and functions as well as research focused on understanding and treating human neurological disorders.

Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction

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ISBN: 9781838801113 9781838801120 9781838806347 Year: Pages: 168 DOI: 10.5772/intechopen.76493 Language: English
Publisher: IntechOpen
Subject: Meteorology and Climatology
Added to DOAB on : 2019-10-03 07:51:53

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Although the technology of observation and prediction of atmospheric systems draws upon many common fields, until now the interrelatedness and interdisciplinary nature of these research fields have scarcely been discussed in one volume containing fundamental theories, numerical methods, and operational application results. This is a book to provide in-depth explorations of the numerical methods developed to better understand atmospheric systems, which are introduced in eight chapters. Chapter 1 presents an efficient algorithm for tropical cyclone center determination by using satellite imagery. Chapter 2 aims to identify atmospheric systems with a new polarization remote sensing method. Chapters 3-8 place emphasis on enhancing the performance of numerical models in the prediction of atmospheric systems that should be valuable for researchers and forecasters.

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