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Transcriptome-wide analysis of a baculovirus using nanopore sequencing
Autographa californica multiple nucleopolyhedrovirus (AcMNPV) is a prototypic baculovirus infecting specific insects. AcMNPV contains a large double-stranded DNA genome encoding a complex transcriptome. This virus has a widespread application as a vector for the expression of heterologous proteins....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278695/ https://www.ncbi.nlm.nih.gov/pubmed/30512018 http://dx.doi.org/10.1038/sdata.2018.276 |
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author | Boldogkői, Zsolt Moldován, Norbert Szűcs, Attila Tombácz, Dóra |
author_facet | Boldogkői, Zsolt Moldován, Norbert Szűcs, Attila Tombácz, Dóra |
author_sort | Boldogkői, Zsolt |
collection | PubMed |
description | Autographa californica multiple nucleopolyhedrovirus (AcMNPV) is a prototypic baculovirus infecting specific insects. AcMNPV contains a large double-stranded DNA genome encoding a complex transcriptome. This virus has a widespread application as a vector for the expression of heterologous proteins. Here, we present a dataset, derived from Oxford Nanopore Technologies (ONT) long-read sequencing platform. We used both cDNA and direct RNA sequencing techniques. The dataset contains 520,310 AcMNPV and 1,309,481 host cell reads using the regular cDNA-sequencing method of ONT technique, whereas altogether 6,456 reads were produced by using direct RNA-sequencing. We also used a Cap-selection protocol for certain ONT samples, and obtained 2,568,669 reads by using this method. The raw reads were aligned to the AcMNPV reference genome (KM667940.1). Here, we openly released the ‘static’ and the dynamic transcript catalogue of AcMNPV. This dataset can be used for deep analyses of the transcriptomic and epitranscriptomic patterns of the AcMNPV and the host cell. The data can be also useful for the validation of different bioinformatics software packages and analysis tools. |
format | Online Article Text |
id | pubmed-6278695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62786952019-03-19 Transcriptome-wide analysis of a baculovirus using nanopore sequencing Boldogkői, Zsolt Moldován, Norbert Szűcs, Attila Tombácz, Dóra Sci Data Data Descriptor Autographa californica multiple nucleopolyhedrovirus (AcMNPV) is a prototypic baculovirus infecting specific insects. AcMNPV contains a large double-stranded DNA genome encoding a complex transcriptome. This virus has a widespread application as a vector for the expression of heterologous proteins. Here, we present a dataset, derived from Oxford Nanopore Technologies (ONT) long-read sequencing platform. We used both cDNA and direct RNA sequencing techniques. The dataset contains 520,310 AcMNPV and 1,309,481 host cell reads using the regular cDNA-sequencing method of ONT technique, whereas altogether 6,456 reads were produced by using direct RNA-sequencing. We also used a Cap-selection protocol for certain ONT samples, and obtained 2,568,669 reads by using this method. The raw reads were aligned to the AcMNPV reference genome (KM667940.1). Here, we openly released the ‘static’ and the dynamic transcript catalogue of AcMNPV. This dataset can be used for deep analyses of the transcriptomic and epitranscriptomic patterns of the AcMNPV and the host cell. The data can be also useful for the validation of different bioinformatics software packages and analysis tools. Nature Publishing Group 2018-12-04 /pmc/articles/PMC6278695/ /pubmed/30512018 http://dx.doi.org/10.1038/sdata.2018.276 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Boldogkői, Zsolt Moldován, Norbert Szűcs, Attila Tombácz, Dóra Transcriptome-wide analysis of a baculovirus using nanopore sequencing |
title | Transcriptome-wide analysis of a baculovirus using nanopore sequencing |
title_full | Transcriptome-wide analysis of a baculovirus using nanopore sequencing |
title_fullStr | Transcriptome-wide analysis of a baculovirus using nanopore sequencing |
title_full_unstemmed | Transcriptome-wide analysis of a baculovirus using nanopore sequencing |
title_short | Transcriptome-wide analysis of a baculovirus using nanopore sequencing |
title_sort | transcriptome-wide analysis of a baculovirus using nanopore sequencing |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278695/ https://www.ncbi.nlm.nih.gov/pubmed/30512018 http://dx.doi.org/10.1038/sdata.2018.276 |
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