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Algorithms For Correcting Next Generation Sequencing Errors
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Book Synopsis Algorithms for Next-Generation Sequencing Data by : Mourad Elloumi
Download or read book Algorithms for Next-Generation Sequencing Data written by Mourad Elloumi and published by Springer. This book was released on 2017-09-18 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Algorithms for Correcting Next-generation Sequencing Errors Based on Mapreduce Big Data Framework by : 鐘緯駿
Download or read book Algorithms for Correcting Next-generation Sequencing Errors Based on Mapreduce Big Data Framework written by 鐘緯駿 and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms for Correcting Next Generation Sequencing Errors by : Farideh Fazayeli
Download or read book Algorithms for Correcting Next Generation Sequencing Errors written by Farideh Fazayeli and published by . This book was released on 2011 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Methods for Next Generation Sequencing Data Analysis by : Ion Mandoiu
Download or read book Computational Methods for Next Generation Sequencing Data Analysis written by Ion Mandoiu and published by John Wiley & Sons. This book was released on 2016-09-12 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Next Generation Sequencing and Sequence Assembly by : Ali Masoudi-Nejad
Download or read book Next Generation Sequencing and Sequence Assembly written by Ali Masoudi-Nejad and published by Springer Science & Business Media. This book was released on 2013-07-09 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Algorithms for Next-Generation Sequencing by : Wing-Kin Sung
Download or read book Algorithms for Next-Generation Sequencing written by Wing-Kin Sung and published by CRC Press. This book was released on 2017-05-18 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.
Book Synopsis Next Generation Sequencing Technologies and Challenges in Sequence Assembly by : Sara El-Metwally
Download or read book Next Generation Sequencing Technologies and Challenges in Sequence Assembly written by Sara El-Metwally and published by Springer Science & Business. This book was released on 2014-04-19 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Algorithms for Next-Generation Sequencing by : Wing-Kin Sung
Download or read book Algorithms for Next-Generation Sequencing written by Wing-Kin Sung and published by CRC Press. This book was released on 2017-05-18 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.
Book Synopsis Error Correction and Clustering Algorithms for Next Generation Sequencing by : Xiao Yang
Download or read book Error Correction and Clustering Algorithms for Next Generation Sequencing written by Xiao Yang and published by . This book was released on 2011 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms for Next-generation High-throughput Sequencing Technologies by : Wei-Chun Kao
Download or read book Algorithms for Next-generation High-throughput Sequencing Technologies written by Wei-Chun Kao and published by . This book was released on 2011 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms for Next-generation Sequencing by : Andreas Sundquist
Download or read book Algorithms for Next-generation Sequencing written by Andreas Sundquist and published by . This book was released on 2008 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Methods for Next Generation Sequencing Data Analysis by : Ion Mandoiu
Download or read book Computational Methods for Next Generation Sequencing Data Analysis written by Ion Mandoiu and published by John Wiley & Sons. This book was released on 2016-10-03 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Error Correction in Next Generation DNA Sequencing Data by : Michael Molnar
Download or read book Error Correction in Next Generation DNA Sequencing Data written by Michael Molnar and published by . This book was released on 2012 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivation: High throughput Next Generation Sequencing (NGS) technologies can sequence the genome of a species quickly and cheaply. Errors that are introduced by NGS technologies limit the full potential of the applications that rely on their data. Current techniques used to correct these errors are not su cient due to issues with time, space, or accuracy. A more e cient and accurate program is needed to correct errors from NGS technologies. Results: We have designed and implemented RACER (Rapid Accurate Correction of Errors in Reads), an error correction program that targets the Illumina genome sequencer, which is currently the dominant NGS technology. RACER combines advanced data structures with an intricate analysis of data to achieve high performance. It has been implemented in C++ and OpenMP for parallelization. We have performed extensive testing on a variety of real data sets to compare RACER with the current leading programs. RACER performs better than all the current technologies in time, space, and accuracy. RACER corrects up to twice as many errors as other parallel programs, while being one order of magnitude faster. We hope RACER will become a very useful tool for many applications that use NGS data.
Book Synopsis A Self-error Correction Algorithm for Third-generation Sequencing Using FM-index by : 蔡政威
Download or read book A Self-error Correction Algorithm for Third-generation Sequencing Using FM-index written by 蔡政威 and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Encyclopedia of Bioinformatics and Computational Biology by :
Download or read book Encyclopedia of Bioinformatics and Computational Biology written by and published by Elsevier. This book was released on 2018-08-21 with total page 3421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases
Book Synopsis A Hybrid Error Correction Algorithm for Third-generation Sequencing Using FM-index by :
Download or read book A Hybrid Error Correction Algorithm for Third-generation Sequencing Using FM-index written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Next Generation Sequencing (NGS) Technology in DNA Analysis by : Hirak Ranjan Dash
Download or read book Next Generation Sequencing (NGS) Technology in DNA Analysis written by Hirak Ranjan Dash and published by Elsevier. This book was released on 2023-11-30 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: Next Generation Sequencing (NGS) Technology in DNA Analysis explains and summarizes next generation sequencing (NGS) technological applications in the field of forensic DNA analysis. The book covers the transition from capillary electrophoresis (CE)-based technique to NGS platforms and the fundamentals of NGS technologies, applications, and advances. Sections provide an overview of NGS technology and forensic science, including information on processing biological samples for forensic analysis, sequence analysis, and data analysis software as well as the analysis of NGS data. The book explores the valuable applications of NGS-based forensic DNA analysis and covers the validations and interpretation guidelines of NGS workflows. With chapter contributions from an international array of experts and the inclusion of practical case studies, this book is a useful reference for academicians and researchers in genetics, biotechnology, bioinformatics, biology, and medicine as well as forensic DNA scientists and practitioners who aim to learn, use, apply, and validate NGS-based technologies. - Describes the fundamentals of NGS and its advances for forensic applications - Explains the transition from CE-based technique to NGS technology - Includes case studies related to NGS and DNA fingerprinting - Explores the future use and applications of NGS technologies
