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Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going?

A wave of technologies transformed sequencing over a decade ago into the high-throughput era, demanding research in new computational methods to analyze these data. The applications of these sequencing technologies have continuously expanded since then. The RECOMB Satellite Workshop on Massively Par...

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Autores principales: Bansal, Vikas, Boucher, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733309/
https://www.ncbi.nlm.nih.gov/pubmed/31472161
http://dx.doi.org/10.1016/j.isci.2019.06.035
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author Bansal, Vikas
Boucher, Christina
author_facet Bansal, Vikas
Boucher, Christina
author_sort Bansal, Vikas
collection PubMed
description A wave of technologies transformed sequencing over a decade ago into the high-throughput era, demanding research in new computational methods to analyze these data. The applications of these sequencing technologies have continuously expanded since then. The RECOMB Satellite Workshop on Massively Parallel Sequencing (RECOMB-Seq) meeting, established in 2011, brings together leading researchers in computational genomics and genomic biology to discuss emerging frontiers in algorithm development for massively parallel sequencing data. The ninth edition of this workshop was held in Washington, DC, in George Washington University on May 3 and 4, 2019. There was an exploration of several traditional topics in sequence analysis, including genome assembly, sequence alignment, and data compression, and development of methods for new sequencing technologies, including linked reads and single-molecule long-read sequencing. Here we revisit these topics and discuss the current status and perspectives of sequencing technologies and analyses.
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spelling pubmed-67333092019-09-12 Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going? Bansal, Vikas Boucher, Christina iScience Editorial A wave of technologies transformed sequencing over a decade ago into the high-throughput era, demanding research in new computational methods to analyze these data. The applications of these sequencing technologies have continuously expanded since then. The RECOMB Satellite Workshop on Massively Parallel Sequencing (RECOMB-Seq) meeting, established in 2011, brings together leading researchers in computational genomics and genomic biology to discuss emerging frontiers in algorithm development for massively parallel sequencing data. The ninth edition of this workshop was held in Washington, DC, in George Washington University on May 3 and 4, 2019. There was an exploration of several traditional topics in sequence analysis, including genome assembly, sequence alignment, and data compression, and development of methods for new sequencing technologies, including linked reads and single-molecule long-read sequencing. Here we revisit these topics and discuss the current status and perspectives of sequencing technologies and analyses. Elsevier 2019-08-15 /pmc/articles/PMC6733309/ /pubmed/31472161 http://dx.doi.org/10.1016/j.isci.2019.06.035 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Editorial
Bansal, Vikas
Boucher, Christina
Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going?
title Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going?
title_full Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going?
title_fullStr Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going?
title_full_unstemmed Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going?
title_short Sequencing Technologies and Analyses: Where Have We Been and Where Are We Going?
title_sort sequencing technologies and analyses: where have we been and where are we going?
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733309/
https://www.ncbi.nlm.nih.gov/pubmed/31472161
http://dx.doi.org/10.1016/j.isci.2019.06.035
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