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RNA-Seq Assembly – Are We There Yet?

Transcriptomic sequence resources represent invaluable assets for research, in particular for non-model species without a sequenced genome. To date, the Next Generation Sequencing technologies 454/Roche and Illumina have been used to generate transcriptome sequence databases by mRNA-Seq for more tha...

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Detalles Bibliográficos
Autores principales: Schliesky, Simon, Gowik, Udo, Weber, Andreas P. M., Bräutigam, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457010/
https://www.ncbi.nlm.nih.gov/pubmed/23056003
http://dx.doi.org/10.3389/fpls.2012.00220
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author Schliesky, Simon
Gowik, Udo
Weber, Andreas P. M.
Bräutigam, Andrea
author_facet Schliesky, Simon
Gowik, Udo
Weber, Andreas P. M.
Bräutigam, Andrea
author_sort Schliesky, Simon
collection PubMed
description Transcriptomic sequence resources represent invaluable assets for research, in particular for non-model species without a sequenced genome. To date, the Next Generation Sequencing technologies 454/Roche and Illumina have been used to generate transcriptome sequence databases by mRNA-Seq for more than fifty different plant species. While some of the databases were successfully used for downstream applications, such as proteomics, the assembly parameters indicate that the assemblies do not yet accurately reflect the actual plant transcriptomes. Two different assembly strategies have been used, overlap consensus based assemblers for long reads and Eulerian path/de Bruijn graph assembler for short reads. In this review, we discuss the challenges and solutions to the transcriptome assembly problem. A list of quality control parameters and the necessary scripts to produce them are provided.
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spelling pubmed-34570102012-10-09 RNA-Seq Assembly – Are We There Yet? Schliesky, Simon Gowik, Udo Weber, Andreas P. M. Bräutigam, Andrea Front Plant Sci Plant Science Transcriptomic sequence resources represent invaluable assets for research, in particular for non-model species without a sequenced genome. To date, the Next Generation Sequencing technologies 454/Roche and Illumina have been used to generate transcriptome sequence databases by mRNA-Seq for more than fifty different plant species. While some of the databases were successfully used for downstream applications, such as proteomics, the assembly parameters indicate that the assemblies do not yet accurately reflect the actual plant transcriptomes. Two different assembly strategies have been used, overlap consensus based assemblers for long reads and Eulerian path/de Bruijn graph assembler for short reads. In this review, we discuss the challenges and solutions to the transcriptome assembly problem. A list of quality control parameters and the necessary scripts to produce them are provided. Frontiers Research Foundation 2012-09-25 /pmc/articles/PMC3457010/ /pubmed/23056003 http://dx.doi.org/10.3389/fpls.2012.00220 Text en Copyright © 2012 Schliesky, Gowik, Weber and Bräutigam. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Plant Science
Schliesky, Simon
Gowik, Udo
Weber, Andreas P. M.
Bräutigam, Andrea
RNA-Seq Assembly – Are We There Yet?
title RNA-Seq Assembly – Are We There Yet?
title_full RNA-Seq Assembly – Are We There Yet?
title_fullStr RNA-Seq Assembly – Are We There Yet?
title_full_unstemmed RNA-Seq Assembly – Are We There Yet?
title_short RNA-Seq Assembly – Are We There Yet?
title_sort rna-seq assembly – are we there yet?
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457010/
https://www.ncbi.nlm.nih.gov/pubmed/23056003
http://dx.doi.org/10.3389/fpls.2012.00220
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