Deep Sequencing Data Analysis

  • Noam Shomron

Part of the Methods in Molecular Biology book series (MIMB, volume 1038)

Table of contents

  1. Front Matter
    Pages i-x
  2. Armando J. Pinho, Diogo Pratas, Sara P. Garcia
    Pages 27-37
  3. Peter Menzel, Jes Frellsen, Mireya Plass, Simon H. Rasmussen, Anders Krogh
    Pages 39-59
  4. David Golan, Saharon Rosset
    Pages 61-79
  5. Xueya Zhou, Suying Bao, Binbin Wang, Xuegong Zhang, You-Qiang Song
    Pages 93-111
  6. Melissa Gymrek, Yaniv Erlich
    Pages 113-135
  7. Ofer Isakov, Marie Perrone, Noam Shomron
    Pages 137-158
  8. Shahar Alon, Eli Eisenberg
    Pages 159-170
  9. Juw Won Park, Collin Tokheim, Shihao Shen, Yi Xing
    Pages 171-179
  10. Guannan Sun, Dongjun Chung, Kun Liang, Sündüz Keleş
    Pages 193-212
  11. Lukasz J. Kielpinski, Mette Boyd, Albin Sandelin, Jeppe Vinther
    Pages 213-231
  12. Back Matter
    Pages 233-234

About this book

Introduction

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.

Keywords

Chromatin Immunoprecipitation (ChIP-seq) Reverse Transcriptase Termination Site (RTTS) alternative mRNA splicing data analysis deep sequencing deep sequencing data analysis genetic sequence microRNAs nucleic acids sequencing outputs ‘Exome’ information

Editors and affiliations

  • Noam Shomron
    • 1
  1. 1., Faculty of MedicineTel Aviv UniversityTel AvivIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-62703-514-9
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Humana Press, Totowa, NJ
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-62703-513-2
  • Online ISBN 978-1-62703-514-9
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book