Next-generation Sequencing Data Analysis

Next-generation Sequencing Data Analysis
Author :
Publisher :
Total Pages : 246
Release :
ISBN-10 : 0367241056
ISBN-13 : 9780367241056
Rating : 4/5 (056 Downloads)

Book Synopsis Next-generation Sequencing Data Analysis by : Xinkun Wang

Download or read book Next-generation Sequencing Data Analysis written by Xinkun Wang and published by . This book was released on 2021 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Next-generation Sequencing Data Analysis Related Books

Next-generation Sequencing Data Analysis
Language: en
Pages: 246
Authors: Xinkun Wang
Categories:
Type: BOOK - Published: 2021 - Publisher:

DOWNLOAD EBOOK

Next-Generation Sequencing and Sequence Data Analysis
Language: en
Pages: 160
Authors: Kuo Ping Chiu
Categories: Science
Type: BOOK - Published: 2015-11-04 - Publisher: Bentham Science Publishers

DOWNLOAD EBOOK

Nucleic acid sequencing techniques have enabled researchers to determine the exact order of base pairs - and by extension, the information present - in the geno
Statistical Analysis of Next Generation Sequencing Data
Language: en
Pages: 0
Authors: Somnath Datta
Categories: Medical
Type: BOOK - Published: 2014-07-21 - Publisher: Springer

DOWNLOAD EBOOK

Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a
Algorithms for Next-Generation Sequencing Data
Language: en
Pages: 356
Authors: Mourad Elloumi
Categories: Computers
Type: BOOK - Published: 2017-09-18 - Publisher: Springer

DOWNLOAD EBOOK

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and tech
Clinical Applications for Next-Generation Sequencing
Language: en
Pages: 336
Authors: Urszula Demkow
Categories: Science
Type: BOOK - Published: 2015-09-10 - Publisher: Academic Press

DOWNLOAD EBOOK

Clinical Applications for Next Generation Sequencing provides readers with an outstanding postgraduate resource to learn about the translational use of NGS in c