bio-informatica

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Browse all works related to bio-informatica.

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In this broad-based introduction Jonathan Pevsner presents the background theory to bioinformatics. Each chapter includes a problem set, pitfalls, boxes explaining key techniques and mathematics/statistics principles, summary, recommended reading, and a list of freely available …

Widely received in its previous editions, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new discipline. Now in a thoroughly updated and expanded third edition, it continues to be the go-to source for students and professionals…

"Bioinformatics and Functional Genomics, Third Edition serves as an excellent single-source textbook for advanced undergraduate and beginning graduate-level courses in the biological sciences and computer sciences. It is also an indispensable resource for biologists in a broad v…

In this broad-based introduction Jonathan Pevsner presents the background theory to bioinformatics. Each chapter includes a problem set, pitfalls, boxes explaining key techniques and mathematics/statistics principles, summary, recommended reading, and a list of freely available …

In the post-genomic era, several plant species have been sequenced and massive genomic information is now available which contributed to expand the development of novel technical strategies for the study of additional levels of biological information of plant species. This book …

Population genomics is revolutionizing wildlife biology, conservation, and management by providing key and novel insights into genetic, population and landscape-level processes in wildlife, with unprecedented power and accuracy. This pioneering book presents the advances and pot…

"This book is an ideal foundation for teaching at the undergraduate and graduate levels. It is also highly suited for self-instruction by research investigators interested in applying computational methods of analysis and by information technologists associated with academic and…

"This book is an ideal foundation for teaching at the undergraduate and graduate levels. It is also highly suited for self-instruction by research investigators interested in applying computational methods of analysis and by information technologists associated with academic and…