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Bookend: precise transcript reconstruction with end-guided assembly

We developed Bookend, a package for transcript assembly that incorporates data from different RNA-seq techniques, with a focus on identifying and utilizing RNA 5′ and 3′ ends. We demonstrate that correct identification of transcript start and end sites is essential for precise full-length transcript...

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Autores principales: Schon, Michael A., Lutzmayer, Stefan, Hofmann, Falko, Nodine, Michael D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245221/
https://www.ncbi.nlm.nih.gov/pubmed/35768836
http://dx.doi.org/10.1186/s13059-022-02700-3
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author Schon, Michael A.
Lutzmayer, Stefan
Hofmann, Falko
Nodine, Michael D.
author_facet Schon, Michael A.
Lutzmayer, Stefan
Hofmann, Falko
Nodine, Michael D.
author_sort Schon, Michael A.
collection PubMed
description We developed Bookend, a package for transcript assembly that incorporates data from different RNA-seq techniques, with a focus on identifying and utilizing RNA 5′ and 3′ ends. We demonstrate that correct identification of transcript start and end sites is essential for precise full-length transcript assembly. Utilization of end-labeled reads present in full-length single-cell RNA-seq datasets dramatically improves the precision of transcript assembly in single cells. Finally, we show that hybrid assembly across short-read, long-read, and end-capture RNA-seq datasets from Arabidopsis thaliana, as well as meta-assembly of RNA-seq from single mouse embryonic stem cells, can produce reference-quality end-to-end transcript annotations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02700-3.
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spelling pubmed-92452212022-07-01 Bookend: precise transcript reconstruction with end-guided assembly Schon, Michael A. Lutzmayer, Stefan Hofmann, Falko Nodine, Michael D. Genome Biol Method We developed Bookend, a package for transcript assembly that incorporates data from different RNA-seq techniques, with a focus on identifying and utilizing RNA 5′ and 3′ ends. We demonstrate that correct identification of transcript start and end sites is essential for precise full-length transcript assembly. Utilization of end-labeled reads present in full-length single-cell RNA-seq datasets dramatically improves the precision of transcript assembly in single cells. Finally, we show that hybrid assembly across short-read, long-read, and end-capture RNA-seq datasets from Arabidopsis thaliana, as well as meta-assembly of RNA-seq from single mouse embryonic stem cells, can produce reference-quality end-to-end transcript annotations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02700-3. BioMed Central 2022-06-29 /pmc/articles/PMC9245221/ /pubmed/35768836 http://dx.doi.org/10.1186/s13059-022-02700-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Method
Schon, Michael A.
Lutzmayer, Stefan
Hofmann, Falko
Nodine, Michael D.
Bookend: precise transcript reconstruction with end-guided assembly
title Bookend: precise transcript reconstruction with end-guided assembly
title_full Bookend: precise transcript reconstruction with end-guided assembly
title_fullStr Bookend: precise transcript reconstruction with end-guided assembly
title_full_unstemmed Bookend: precise transcript reconstruction with end-guided assembly
title_short Bookend: precise transcript reconstruction with end-guided assembly
title_sort bookend: precise transcript reconstruction with end-guided assembly
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245221/
https://www.ncbi.nlm.nih.gov/pubmed/35768836
http://dx.doi.org/10.1186/s13059-022-02700-3
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