Read Measuring Gene Expression (THE BASICS (Garland Science)) by Matthew Avison Online
[Matthew Avison] ☆ Measuring Gene Expression (THE BASICS (Garland Science)) É Read Online eBook or Kindle ePUB. Measuring Gene Expression (THE BASICS (Garland Science)) In the post-genomic age, much biomedical research looks at when, where, and at what level genes are expressed. Measuring Gene Expression is an all-in-one introduction to the main methods of measuring gene expression, including RT-PCR, differential display, RNA interference, reporter genes, microarrays, and proteomics, as well as a section on RNA isolation and analysis. There is an overview of each method: its pros and cons, sample preparation, sources of error, and data interp
| Title | : | Measuring Gene Expression (THE BASICS (Garland Science)) |
| Author | : | |
| Rating | : | 4.84 (883 Votes) |
| Asin | : | 0415374723 |
| Format Type | : | paperback |
| Number of Pages | : | 338 Pages |
| Publish Date | : | 2017-04-26 |
| Language | : | English |
Great Introductory Review This book is exactly what I was looking for interms of understanding the basics of gene expression. It is written easy enough to understand but not too simplistic. Covers all of the major concepts and techniques in great detail.
"This is an excellent book. It has all the techniques in one place." Professor Sir Aaron Klug OM FRSMRC Laboratory of Molecular BiologyCambridge, UK. I wish I had had it a few years ago for my research group
Matthew Avison, Department of Pathology and Microbiology, School of Medical Sciences, University of Bristol, UK
In the post-genomic age, much biomedical research looks at when, where, and at what level genes are expressed. Measuring Gene Expression is an all-in-one introduction to the main methods of measuring gene expression, including RT-PCR, differential display, RNA interference, reporter genes, microarrays, and proteomics, as well as a section on RNA isolation and analysis. There is an overview of each method: its pros and cons, sample preparation, sources of error, and data interpretation.
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