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Realizing the potential of full-length transcriptome sequencing

Long-read sequencing holds great potential for transcriptome analysis because it offers researchers an affordable method to annotate the transcriptomes of non-model organisms. This, in turn, will greatly benefit future work on less-researched organisms like unicellular eukaryotes that cannot rely on...

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Detalles Bibliográficos
Autores principales: Byrne, Ashley, Cole, Charles, Volden, Roger, Vollmers, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792442/
https://www.ncbi.nlm.nih.gov/pubmed/31587638
http://dx.doi.org/10.1098/rstb.2019.0097
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author Byrne, Ashley
Cole, Charles
Volden, Roger
Vollmers, Christopher
author_facet Byrne, Ashley
Cole, Charles
Volden, Roger
Vollmers, Christopher
author_sort Byrne, Ashley
collection PubMed
description Long-read sequencing holds great potential for transcriptome analysis because it offers researchers an affordable method to annotate the transcriptomes of non-model organisms. This, in turn, will greatly benefit future work on less-researched organisms like unicellular eukaryotes that cannot rely on large consortia to generate these transcriptome annotations. However, to realize this potential, several remaining molecular and computational challenges will have to be overcome. In this review, we have outlined the limitations of short-read sequencing technology and how long-read sequencing technology overcomes these limitations. We have also highlighted the unique challenges still present for long-read sequencing technology and provided some suggestions on how to overcome these challenges going forward. This article is part of a discussion meeting issue ‘Single cell ecology’.
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spelling pubmed-67924422019-10-19 Realizing the potential of full-length transcriptome sequencing Byrne, Ashley Cole, Charles Volden, Roger Vollmers, Christopher Philos Trans R Soc Lond B Biol Sci Articles Long-read sequencing holds great potential for transcriptome analysis because it offers researchers an affordable method to annotate the transcriptomes of non-model organisms. This, in turn, will greatly benefit future work on less-researched organisms like unicellular eukaryotes that cannot rely on large consortia to generate these transcriptome annotations. However, to realize this potential, several remaining molecular and computational challenges will have to be overcome. In this review, we have outlined the limitations of short-read sequencing technology and how long-read sequencing technology overcomes these limitations. We have also highlighted the unique challenges still present for long-read sequencing technology and provided some suggestions on how to overcome these challenges going forward. This article is part of a discussion meeting issue ‘Single cell ecology’. The Royal Society 2019-11-25 2019-10-07 /pmc/articles/PMC6792442/ /pubmed/31587638 http://dx.doi.org/10.1098/rstb.2019.0097 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Byrne, Ashley
Cole, Charles
Volden, Roger
Vollmers, Christopher
Realizing the potential of full-length transcriptome sequencing
title Realizing the potential of full-length transcriptome sequencing
title_full Realizing the potential of full-length transcriptome sequencing
title_fullStr Realizing the potential of full-length transcriptome sequencing
title_full_unstemmed Realizing the potential of full-length transcriptome sequencing
title_short Realizing the potential of full-length transcriptome sequencing
title_sort realizing the potential of full-length transcriptome sequencing
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792442/
https://www.ncbi.nlm.nih.gov/pubmed/31587638
http://dx.doi.org/10.1098/rstb.2019.0097
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