Read Deep Sequencing Data Analysis (Methods in Molecular Biology) by Humana Press Online
Download # Deep Sequencing Data Analysis (Methods in Molecular Biology) PDF by ^ Humana Press eBook or Kindle ePUB Online free. Deep Sequencing Data Analysis (Methods in Molecular Biology) The new genetic revolution is fuelled by Deep Sequencing (or Next Generation Sequencing) apparatuses which, in essence, read billions of nucleotides per reaction. Effectively, when carefully planned, any experimental question which can be translated into reading nucleic acids can be applied.In Deep Sequencing Data Analysis, expert researchers in the field detail methods which are now commonly used to study the multi-facet deep sequencing data field. These included technique
| Title | : | Deep Sequencing Data Analysis (Methods in Molecular Biology) |
| Author | : | |
| Rating | : | 4.26 (735 Votes) |
| Asin | : | 1627035133 |
| Format Type | : | paperback |
| Number of Pages | : | 234 Pages |
| Publish Date | : | 2017-11-03 |
| Language | : | English |
A good taste of the field for non computational savvy MIT 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.
The new genetic revolution is fuelled by Deep Sequencing (or Next Generation Sequencing) apparatuses which, in essence, read billions of nucleotides per reaction. Effectively, when carefully planned, any experimental question which can be translated into reading nucleic acids can be applied.In Deep Sequencing Data Analysis, expert researchers in the field detail methods which are now commonly used to study the multi-facet deep sequencing data field. These included techniques for compressing of data generated, Chromatin Immunoprecipitation (ChIP-seq), and various approaches for the identification of sequence variants. 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), and various approaches for the identification of sequence variants. 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 Sequenc
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