Deep sequencing data analysis /

Deep sequencing data analysis / edited by Noam Shomron. - New York : Humana Press, ©2013. - 1 online resource (x, 234 pages) : illustrations (some color) - Methods in molecular biology, 1038 1940-6029 ; . - Methods in molecular biology (Clifton, N.J.) ; v. 1038. .

Includes bibliographical references and index.

Introduction to high-throughput sequencing experiments : design and bioinformatics analysis / Compressing resequencing data with GReEn / On the accuracy of short read mapping / Statistical modeling of coverage in high-throughput data / Assembly algorithms for deep sequencing data : basics and pitfalls / Short read mapping for exome sequencing / Profiling short tandem repeats from short reads / Exome sequencing analysis : a guide to disease variant detection / Identifying RNA editing sites in miRNAs by deep sequencing / Identifying differential alternative splicing events from RNA sequencing data using RNASeq-MATS / Optimizing detection of transcription factor-binding sites in ChIP-seq experiments / Statistical analysis of ChIP-seq data with MOSAiCS / Detection of reverse transcriptase termination sites using cDNA ligation and massive parallel sequencing / Rachelly Normand and Itai Yanai -- Armando J. Pinho, Diogo Pratas, and Sara P. Garcia -- Peter Menzel [and others] -- David Golan and Saharon Rosset -- Nitzan Kol and Noam Shomron -- Xueya Zhou [and others] -- Melissa Gymrek and Yaniv Erlich -- Ofer Isakov, Marie Perrone, and Noam Shomron -- Shahar Alon and Eli Eisenberg -- Juw Won Park [and others] -- Aleksi Kallio and Laura L. Elo -- Guannan Sun [and others] -- Lukasz J. Kielpinski [and others].

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.


9781627035149 1627035141 1627035133 9781627035132

10.1007/978-1-62703-514-9 doi

Nucleotide sequence--Laboratory manuals.
Nucleotide sequence--Data processing--Laboratory manuals.
Sequence Analysis.
Decision Support Techniques.
Genetic Techniques.
Investigative Techniques
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Data Interpretation, Statistical.
High-Throughput Nucleotide Sequencing.
Nucleotide sequence.
Nucleotide sequence--Data processing.

Life sciences. Human genetics. Bioinformatics. dna sequencing humane genetica Genetics (General) Genetica (algemeen)

Electronic books.
Laboratory manuals.

QP625.N89 / D44 2013


W1 / ME9616J v.1038 2013 QU 25

Powered by Koha