Download e-book for iPad: Big Data Analytics in Genomics by Ka-Chun Wong

By Ka-Chun Wong

This contributed quantity explores the rising intersection among substantial facts analytics and genomics. fresh sequencing applied sciences have enabled high-throughput sequencing information iteration for genomics leading to a number of overseas initiatives that have ended in gigantic genomic facts accumulation at an exceptional speed.  To show novel genomic insights from this knowledge inside an inexpensive timeframe, conventional information research equipment is probably not enough or scalable, forcing the necessity for giant facts analytics to be constructed for genomics. The computational tools addressed within the e-book are meant to take on an important organic questions utilizing immense facts, and are acceptable for both beginners or veterans within the field.
This quantity bargains 13 peer-reviewed contributions, written by way of overseas prime specialists from varied areas, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the us.  In specific, the publication surveys 3 major components: statistical analytics, computational analytics, and melanoma genome analytics. pattern subject matters coated comprise: statistical tools for integrative research of genomic information, computation tools for protein functionality prediction, and views on computing device studying thoughts in gigantic information mining of melanoma. Self-contained and compatible for graduate scholars, this e-book is usually designed for bioinformaticians, computational biologists, and researchers in groups starting from genomics, giant info, molecular genetics, facts mining, biostatistics, biomedical technological know-how, melanoma study, scientific study, and biology to laptop studying and computing device technology.  Readers will locate this quantity to be a vital learn for appreciating the position of massive information in genomics, making this a useful source for exciting additional study at the topic.

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Big Data Analytics in Genomics by Ka-Chun Wong


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