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VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy
Viral vector characterization and analysis are important components for the development of safe gene therapeutic products, elucidating the potential genotoxic and immunogenic effects of vectors and establishing their safety profiles. Here, we present VSeq-Toolkit, which offers varying analysis modes...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177155/ https://www.ncbi.nlm.nih.gov/pubmed/32346552 http://dx.doi.org/10.1016/j.omtm.2020.03.024 |
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author | Afzal, Saira Fronza, Raffaele Schmidt, Manfred |
author_facet | Afzal, Saira Fronza, Raffaele Schmidt, Manfred |
author_sort | Afzal, Saira |
collection | PubMed |
description | Viral vector characterization and analysis are important components for the development of safe gene therapeutic products, elucidating the potential genotoxic and immunogenic effects of vectors and establishing their safety profiles. Here, we present VSeq-Toolkit, which offers varying analysis modes for viral gene therapy data. The first mode determines the undesirable known contaminants and their frequency in viral preparations or other sequencing data. The second mode is designed for the analysis of intra-vector fusion breakpoints and the third mode for unraveling the viral-host fusion events distribution. Analysis modes of our toolkit can be executed independently or together and allow the analysis of multiple viral vectors concurrently. It has been designed and evaluated for the analysis of short read high-throughput sequencing data, including whole-genome or targeted sequencing. VSeq-Toolkit is developed in Perl and Bash programming languages and is available at https://github.com/CompMeth/VSeq-Toolkit. |
format | Online Article Text |
id | pubmed-7177155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society of Gene & Cell Therapy |
record_format | MEDLINE/PubMed |
spelling | pubmed-71771552020-04-28 VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy Afzal, Saira Fronza, Raffaele Schmidt, Manfred Mol Ther Methods Clin Dev Article Viral vector characterization and analysis are important components for the development of safe gene therapeutic products, elucidating the potential genotoxic and immunogenic effects of vectors and establishing their safety profiles. Here, we present VSeq-Toolkit, which offers varying analysis modes for viral gene therapy data. The first mode determines the undesirable known contaminants and their frequency in viral preparations or other sequencing data. The second mode is designed for the analysis of intra-vector fusion breakpoints and the third mode for unraveling the viral-host fusion events distribution. Analysis modes of our toolkit can be executed independently or together and allow the analysis of multiple viral vectors concurrently. It has been designed and evaluated for the analysis of short read high-throughput sequencing data, including whole-genome or targeted sequencing. VSeq-Toolkit is developed in Perl and Bash programming languages and is available at https://github.com/CompMeth/VSeq-Toolkit. American Society of Gene & Cell Therapy 2020-03-30 /pmc/articles/PMC7177155/ /pubmed/32346552 http://dx.doi.org/10.1016/j.omtm.2020.03.024 Text en © 2020 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 | Article Afzal, Saira Fronza, Raffaele Schmidt, Manfred VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy |
title | VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy |
title_full | VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy |
title_fullStr | VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy |
title_full_unstemmed | VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy |
title_short | VSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy |
title_sort | vseq-toolkit: comprehensive computational analysis of viral vectors in gene therapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177155/ https://www.ncbi.nlm.nih.gov/pubmed/32346552 http://dx.doi.org/10.1016/j.omtm.2020.03.024 |
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