Download Ebook Genomics and Bioinformatics
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Genomics and Bioinformatics
Download Ebook Genomics and Bioinformatics
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Review
"... Samuelsson has devised a well-structured, step-by-step approach. Each chapter deals with a different use of bioinformatics, ranging from human disease to gene technology, giving the reader up-to-the-minute information in bite-sized chunks. The topics show the interdisciplinary nature of bioinformatics and are introduced in a readable manner, so the novice is not swamped with detail." Dr Leighton Dann, The Biologist"The book provides a lively and accessible introduction to current research in the life sciences, and it does so in a succinct way by grounding the explanations with simple algorithms expressed in Perl code. As such, the book can be very useful to a general science audience, particularly those with a computer science background, whether established researchers or undergraduate students. The writing is inspiring and engaging, and the inclusion of Perl code makes it easy for readers to apply the knowledge and observe the outcomes." Sara Kalvala, Computing Reviews
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Book Description
Designed for biologists without programming experience, this textbook provides a hands-on introduction to Unix and Perl tools for bioinformatics. Relevant biological examples are combined with practical computational procedures, teaching students how to proceed from biological problem to bioinformatics solution. An accompanying website provides files, scripts and solutions to end-of-chapter exercises.
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Product details
Paperback: 356 pages
Publisher: Cambridge University Press; 1 edition (July 23, 2012)
Language: English
ISBN-10: 1107401240
ISBN-13: 978-1107401242
Product Dimensions:
7.7 x 0.8 x 10.2 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review:
3.6 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#671,295 in Books (See Top 100 in Books)
I used this book in an introductory grad-level bioinformatics course. No programming knowledge was necessary to enroll and we learned python as part of this course. This book was required, but I only used it for the first week or two of class. Really not that helpful for my needs.My main issue with the book is the general lack of editorial feel. Most chapters are topical case studies which also describe how to do a task in perl (there is a companion website which provides equivalent python scripts). Especially since we were learning Python in this course and considering that the field is moving towards object-oriented languages, I rarely needed to reference this book.There are several better introductions to genomics, so if you aren't interested in the 'how-to' of this field then I recommend passing on this book. Even if you are interested, consider other resources before this one.
Use this a a desk reference to leverage new genomics tools. Relatively well written summary - starting point. Strongly recommended
This is a useful and informative text; although I won't be using it "extensively" until next semester, I have scanned the chapters and it appears to have the right content for studying the subject thoroughly. I look forward to supplementing class lectures with the info contained in this text.
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