Computational Biology And Bioinformatics: Gene Regulation
Wong Ka-Chun
Verkauft von Romtrade Corp., STERLING HEIGHTS, MI, USA
AbeBooks-Verkäufer seit 17. April 2013
Neu - Softcover
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenBeispielbild für diese ISBN
Verkauft von Romtrade Corp., STERLING HEIGHTS, MI, USA
AbeBooks-Verkäufer seit 17. April 2013
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenBrand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Bestandsnummer des Verkäufers ABNR-236367
The advances in biotechnology such as the next generation sequencing technologies are occurring at breathtaking speed. Advances and breakthroughs give competitive advantages to those who are prepared. However, the driving force behind the positive competition is not only limited to the technological advancement, but also to the companion data analytical skills and computational methods which are collectively called computational biology and bioinformatics. Without them, the biotechnology-output data by itself is raw and perhaps meaningless. To raise such awareness, we have collected the state-of-the-art research works in computational biology and bioinformatics with a thematic focus on gene regulation in this book.
This book is designed to be self-contained and comprehensive, targeting senior undergraduates and junior graduate students in the related disciplines such as bioinformatics, computational biology, biostatistics, genome science, computer science, applied data mining, applied machine learning, life science, biomedical science, and genetics. In addition, we believe that this book will serve as a useful reference for both bioinformaticians and computational biologists in the post-genomic era.
Ka-Chun Wong
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