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[Wiley] ☆ Bioinformatics for Geneticists (Hierarchical Exotoxicology Mini Series) ↠ Read Online eBook or Kindle ePUB. Bioinformatics for Geneticists (Hierarchical Exotoxicology Mini Series) "Five Stars" according to Amazon Customer. quick shipping and product as expected]
| Title | : | Bioinformatics for Geneticists (Hierarchical Exotoxicology Mini Series) |
| Author | : | |
| Rating | : | 4.19 (799 Votes) |
| Asin | : | 0470843942 |
| Format Type | : | paperback |
| Number of Pages | : | 350 Pages |
| Publish Date | : | 2014-12-03 |
| Language | : | English |
"…a very valuable and important resource for bringing bioinformatics into the work practice of geneticists." (Clinical Chemistry, December 2004) "valuable in this newly emerging discipline called 'Bioinformatics'." (Journal of Statistical Computation & Simulation, September 2004)"Although this book is aimed primarily at professional geneticists, the numerous worked examples would be useful to anyone putting a course together on this topic.” (Biochemistry and Molecular Education, May/ June 2004)"This book is essential reading for all those engaged in genetic research and should prove indispensable ." (CAB Abstracts)"a useful addition to the library of a seasoned scientista useful resource in itself, cataloguing the 'how' and 'why' " (Briefings in Bioinformatics, June 2004)"…a very valuable and important resource for bringing bioinformatics into the work practice of geneticists…we strongly recommend this book" (Clinical Chemistry, 2004)
"Five Stars" according to Amazon Customer. quick shipping and product as expected
This timely book illustrates the value of bioinformatics, not simply as a set of tools but rather as a science increasingly essential to navigate and manage the host of information generated by genomics and the availability of completely sequenced genomes. Written specifically for geneticists, this book explains the relevance of bioinformatics showing how it may be used to enhance genetic data mining and markedly improve genetic analysis.. Bioinformatics can be used at all stages of genetics research: to improve study design, to assist in candidate gene identification
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