INTRODUCCIÓ A LES TÈCNIQUES DE SEQUENCIACIÓ I BIOINFORMÀTICA (NEXT GENERATION SEQUENCING)

INTRODUCCIÓ A LES TÈCNIQUES DE SEQUENCIACIÓ I BIOINFORMÀTICA (NEXT GENERATION SEQUENCING) PDF Author: ANTONIO MONLEON-GETINO
Publisher: Lulu.com
ISBN: 0244988714
Category : Technology & Engineering
Languages : en
Pages : 40

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Book Description
Un llibre introductori per entendre la bioinformàtica i les tècniques modernes desequenciació (Next Generation Sequenting).Next Generation Sequencing (NGS) és un terme per identificar una tecnologiade seqüenciació de l'ADN i ARN que ha revolucionat el món de la genómica.NGS engloba totes les tecnologies destinades a dur a terme la seqüenciaciómassiva a gran escala de qualsevol àcid nucleic a la actualitat.Les possibilitats de la investigació mèdica i biològica s'han multiplicat durant lesdues últimes dècades amb les tècniques de seqüenciació i especialment ambNGS. NGS és una tècnica molt potent que permet la detecció de tots els tipusde variacions de l'ADN (petites substitucions, delecions o insercions, així comgrans delecions genòmiques d'exons, inversions o translocacions).Aquest llibre ofereix d'una manera succinta què és i com es realitza laseqüenciació amb NGS.

INTRODUCCIÓ A LES TÈCNIQUES DE SEQUENCIACIÓ I BIOINFORMÀTICA (NEXT GENERATION SEQUENCING)

INTRODUCCIÓ A LES TÈCNIQUES DE SEQUENCIACIÓ I BIOINFORMÀTICA (NEXT GENERATION SEQUENCING) PDF Author: ANTONIO MONLEON-GETINO
Publisher: Lulu.com
ISBN: 0244988714
Category : Technology & Engineering
Languages : en
Pages : 40

Get Book Here

Book Description
Un llibre introductori per entendre la bioinformàtica i les tècniques modernes desequenciació (Next Generation Sequenting).Next Generation Sequencing (NGS) és un terme per identificar una tecnologiade seqüenciació de l'ADN i ARN que ha revolucionat el món de la genómica.NGS engloba totes les tecnologies destinades a dur a terme la seqüenciaciómassiva a gran escala de qualsevol àcid nucleic a la actualitat.Les possibilitats de la investigació mèdica i biològica s'han multiplicat durant lesdues últimes dècades amb les tècniques de seqüenciació i especialment ambNGS. NGS és una tècnica molt potent que permet la detecció de tots els tipusde variacions de l'ADN (petites substitucions, delecions o insercions, així comgrans delecions genòmiques d'exons, inversions o translocacions).Aquest llibre ofereix d'una manera succinta què és i com es realitza laseqüenciació amb NGS.

Next Generation Sequencing and Sequence Assembly

Next Generation Sequencing and Sequence Assembly PDF Author: Ali Masoudi-Nejad
Publisher: Springer Science & Business Media
ISBN: 1461477263
Category : Medical
Languages : en
Pages : 92

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Book Description
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 to these methods for readers new to the field. Gathering information, about sequencing and assembly methods together, helps both biologists and computer scientists to get a clear idea about the field. Chapters will include information about new sequencing technologies such as ChIp-seq, ChIp-chip, and De Novo sequence assembly. ​

Next Generation Sequencing

Next Generation Sequencing PDF Author: Jerzy Kulski
Publisher: BoD – Books on Demand
ISBN: 9535122401
Category : Medical
Languages : en
Pages : 466

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Book Description
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. In this book, Next Generation Sequencing Advances, Applications and Challenges, the sixteen chapters written by experts cover various aspects of NGS including genomics, transcriptomics and methylomics, the sequencing platforms, and the bioinformatics challenges in processing and analysing huge amounts of sequencing data. Following an overview of the evolution of NGS in the brave new world of omics, the book examines the advances and challenges of NGS applications in basic and applied research on microorganisms, agricultural plants and humans. This book is of value to all who are interested in DNA sequencing and bioinformatics across all fields of the life sciences.

Next-generation Sequencing

Next-generation Sequencing PDF Author: Jianping Xu
Publisher: Caister Academic Press Limited
ISBN: 9781908230331
Category : Science
Languages : en
Pages : 0

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Book Description
A separate chapter is dedicated to low-quantity, single molecule sequencing technology.

Bioinformatics for High Throughput Sequencing

Bioinformatics for High Throughput Sequencing PDF Author: Naiara Rodríguez-Ezpeleta
Publisher: Springer Science & Business Media
ISBN: 1461407826
Category : Science
Languages : en
Pages : 258

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Book Description
Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging.

Algorithms for Next-Generation Sequencing Data

Algorithms for Next-Generation Sequencing Data PDF Author: Mourad Elloumi
Publisher: Springer
ISBN: 3319598260
Category : Computers
Languages : en
Pages : 356

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Book Description
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.

Computational Methods for Next Generation Sequencing Data Analysis

Computational Methods for Next Generation Sequencing Data Analysis PDF Author: Ion Mandoiu
Publisher: John Wiley & Sons
ISBN: 1119272165
Category : Computers
Languages : en
Pages : 462

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Book Description
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 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is divided into four parts: Part I focuses on computing and experimental infrastructure for NGS analysis, including chapters on cloud computing, modular pipelines for metabolic pathway reconstruction, pooling strategies for massive viral sequencing, and high-fidelity sequencing protocols. Part II concentrates on analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and analysis of DNA methylation sequencing data. Part III is devoted to analysis of RNA-seq data. This part discusses algorithms and compares software tools for transcriptome assembly along with methods for detection of alternative splicing and tools for transcriptome quantification and differential expression analysis. Part IV explores computational tools for NGS applications in microbiomics, including a discussion on error correction of NGS reads from viral populations, methods for viral quasispecies reconstruction, and a survey of state-of-the-art methods and future trends in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: Reviews computational techniques such as new combinatorial optimization methods, data structures, high performance computing, machine learning, and inference algorithms Discusses the mathematical and computational challenges in NGS technologies Covers NGS error correction, de novo genome transcriptome assembly, variant detection from NGS reads, and more This text is a reference for biomedical professionals interested in expanding their knowledge of computational techniques for NGS data analysis. The book is also useful for graduate and post-graduate students in bioinformatics.

Deep Sequencing Data Analysis

Deep Sequencing Data Analysis PDF Author: Noam Shomron
Publisher: Humana
ISBN: 9781493960279
Category : Science
Languages : en
Pages : 0

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Book Description
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.

Next Generation Sequencing Technologies and Challenges in Sequence Assembly

Next Generation Sequencing Technologies and Challenges in Sequence Assembly PDF Author: Sara El-Metwally
Publisher: Springer Science & Business
ISBN: 1493907158
Category : Science
Languages : en
Pages : 123

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Book Description
The introduction of Next Generation Sequencing (NGS) technologies resulted in a major transformation in the way scientists extract genetic information from biological systems, revealing limitless insight about the genome, transcriptome and epigenome of any species. However, with NGS, came its own challenges that require continuous development in the sequencing technologies and bioinformatics analysis of the resultant raw data and assembly of the full length genome and transcriptome. Such developments lead to outstanding improvements of the performance and coverage of sequencing and improved quality for the assembled sequences, nevertheless, challenges such as sequencing errors, expensive processing and memory usage for assembly and sequencer specific errors remains major challenges in the field. This book aims to provide brief overviews the NGS field with special focus on the challenges facing the NGS field, including information on different experimental platforms, assembly algorithms and software tools, assembly error correction approaches and the correlated challenges.

Tag-based Next Generation Sequencing

Tag-based Next Generation Sequencing PDF Author: Matthias Harbers
Publisher: John Wiley & Sons
ISBN: 352732819X
Category : Science
Languages : en
Pages : 609

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Book Description
Tag-based approaches were originally designed to increase the throughput of capillary sequencing, where concatemers of short sequences were first used in expression profiling. New Next Generation Sequencing methods largely extended the use of tag-based approaches as the tag lengths perfectly match with the short read length of highly parallel sequencing reactions. Tag-based approaches will maintain their important role in life and biomedical science, because longer read lengths are often not required to obtain meaningful data for many applications. Whereas genome re-sequencing and de novo sequencing will benefit from ever more powerful sequencing methods, analytical applications can be performed by tag-based approaches, where the focus shifts from 'sequencing power' to better means of data analysis and visualization for common users. Today Next Generation Sequence data require powerful bioinformatics expertise that has to be converted into easy-to-use data analysis tools. The book's intention is to give an overview on recently developed tag-based approaches along with means of their data analysis together with introductions to Next-Generation Sequencing Methods, protocols and user guides to be an entry for scientists to tag-based approaches for Next Generation Sequencing.