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LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data
We propose LongQC as an easy and automated quality control tool for genomic datasets generated by third generation sequencing (TGS) technologies such as Oxford Nanopore technologies (ONT) and SMRT sequencing from Pacific Bioscience (PacBio). Key statistics were optimized for long read data, and Long...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144081/ https://www.ncbi.nlm.nih.gov/pubmed/32041730 http://dx.doi.org/10.1534/g3.119.400864 |
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author | Fukasawa, Yoshinori Ermini, Luca Wang, Hai Carty, Karen Cheung, Ming-Sin |
author_facet | Fukasawa, Yoshinori Ermini, Luca Wang, Hai Carty, Karen Cheung, Ming-Sin |
author_sort | Fukasawa, Yoshinori |
collection | PubMed |
description | We propose LongQC as an easy and automated quality control tool for genomic datasets generated by third generation sequencing (TGS) technologies such as Oxford Nanopore technologies (ONT) and SMRT sequencing from Pacific Bioscience (PacBio). Key statistics were optimized for long read data, and LongQC covers all major TGS platforms. LongQC processes and visualizes those statistics automatically and quickly. |
format | Online Article Text |
id | pubmed-7144081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-71440812020-04-14 LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data Fukasawa, Yoshinori Ermini, Luca Wang, Hai Carty, Karen Cheung, Ming-Sin G3 (Bethesda) Software and Data Resources We propose LongQC as an easy and automated quality control tool for genomic datasets generated by third generation sequencing (TGS) technologies such as Oxford Nanopore technologies (ONT) and SMRT sequencing from Pacific Bioscience (PacBio). Key statistics were optimized for long read data, and LongQC covers all major TGS platforms. LongQC processes and visualizes those statistics automatically and quickly. Genetics Society of America 2020-02-10 /pmc/articles/PMC7144081/ /pubmed/32041730 http://dx.doi.org/10.1534/g3.119.400864 Text en Copyright © 2020 Fukasawa et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software and Data Resources Fukasawa, Yoshinori Ermini, Luca Wang, Hai Carty, Karen Cheung, Ming-Sin LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data |
title | LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data |
title_full | LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data |
title_fullStr | LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data |
title_full_unstemmed | LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data |
title_short | LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data |
title_sort | longqc: a quality control tool for third generation sequencing long read data |
topic | Software and Data Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144081/ https://www.ncbi.nlm.nih.gov/pubmed/32041730 http://dx.doi.org/10.1534/g3.119.400864 |
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