Deep Sequencing Data Analysis (Methods in Molecular Biology)
| Author | : | |
| Rating | : | 4.44 (635 Votes) |
| Asin | : | 1627035133 |
| Format Type | : | paperback |
| Number of Pages | : | 234 Pages |
| Publish Date | : | 2014-05-09 |
| Language | : | English |
DESCRIPTION:
The new genetic revolution is fuelled by Deep Sequencing (or Next Generation Sequencing) apparatuses which, in essence, read billions of nucleotides per reaction. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Deep Sequencing Data Analysis seeks to aid scientists in the further understanding of key data analysis procedures for deep sequencing data interpretation.. These included techniques for compressing of data generated, Chromatin Immunoprecipitation (ChIP-seq), a
A good taste of the field for non computational savvy There are very few books in the field of deep sequencing data analysis, therefore I decided to check this one out. The chapters are variable in topic, writing and extent of information they contain. However, the Editor does a good job in presenting the ideas, ordering the chapters and giving the reader a taste of the field. For these reasons I think this book is worthwhile, at least as a first introduction to the topic if you are not computational savvy.
Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Deep Sequencing Data Analysis seeks to aid scientists in the further understanding of key data analysis procedures for deep sequencing data interpretation.. These included techniques