Algorithms for Next Generation Sequencing Data

This book PDF is perfect for those who love Computers genre, written by Mourad Elloumi and published by Springer which was released on 18 September 2017 with total hardcover pages 355. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Algorithms for Next Generation Sequencing Data books below.

Algorithms for Next Generation Sequencing Data

Author	: Mourad Elloumi
File Size	: 40,5 Mb
Publisher	: Springer
Language	: English
Release Date	: 18 September 2017
ISBN	: 9783319598260
Pages	: 355 pages

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Algorithms for Next Generation Sequencing Data by Mourad Elloumi Book PDF Summary

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.

Algorithms for Next Generation Sequencing Data by Mourad Elloumi

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Algorithms for Next Generation Sequencing by Wing-Kin Sung

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood

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Next Generation Sequencing by Jerzy Kulski

Next generation sequencing (NGS) has surpassed the traditional Sanger sequencing method to become the main choice for large-scale, genome-wide sequencing studies with ultra-high-throughput production and a huge reduction in costs. The NGS technologies have had enormous impact on the studies of structural and functional genomics in all the life sciences.

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Next Generation Sequencing and Sequence Assembly by Ali Masoudi-Nejad,Zahra Narimani,Nazanin Hosseinkhan

The goal of this book is to introduce the biological and technical aspects of next generation sequencing methods, as well as algorithms to assemble these sequences into whole genomes. The book is organized into two parts; part 1 introduces NGS methods and part 2 reviews assembly algorithms and gives a good insight

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Computational Methods for Next Generation Sequencing Data Analysis by Ion Mandoiu,Alexander Zelikovsky

Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18

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Computational Methods for Next Generation Sequencing Data Analysis by Ion Mandoiu,Alexander Zelikovsky

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Statistical Analysis of Next Generation Sequencing Data by Somnath Datta,Dan Nettleton

Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic

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Development of Algorithms and Next generation Sequencing Data Workflows for the Analysis of Gene Regulatory Networks by Orr Shomroni

Unraveling genetic and epigenetic mechanisms behind various biological processes is possible with Next generation sequencing (NGS) methodologies, with a multitude of tools developed to analyze such data. Nevertheless, automated, robust and flexible workflows that analyze NGS data quickly and efficiently have been lacking. In addition, given that many NGS studies

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