Cargando…

Efficient hybrid de novo assembly of human genomes with WENGAN

Generating accurate genome assemblies of large, repeat-rich human genomes has proved difficult using only long, error-prone reads, and most human genomes assembled from long reads add accurate short reads to polish the consensus sequence. Here we report an algorithm for hybrid assembly, WENGAN, that...

Descripción completa

Detalles Bibliográficos
Autores principales: Di Genova, Alex, Buena-Atienza, Elena, Ossowski, Stephan, Sagot, Marie-France
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041623/
https://www.ncbi.nlm.nih.gov/pubmed/33318652
http://dx.doi.org/10.1038/s41587-020-00747-w
_version_ 1783677970341167104
author Di Genova, Alex
Buena-Atienza, Elena
Ossowski, Stephan
Sagot, Marie-France
author_facet Di Genova, Alex
Buena-Atienza, Elena
Ossowski, Stephan
Sagot, Marie-France
author_sort Di Genova, Alex
collection PubMed
description Generating accurate genome assemblies of large, repeat-rich human genomes has proved difficult using only long, error-prone reads, and most human genomes assembled from long reads add accurate short reads to polish the consensus sequence. Here we report an algorithm for hybrid assembly, WENGAN, that provides very high quality at low computational cost. We demonstrate de novo assembly of four human genomes using a combination of sequencing data generated on ONT PromethION, PacBio Sequel, Illumina and MGI technology. WENGAN implements efficient algorithms to improve assembly contiguity as well as consensus quality. The resulting genome assemblies have high contiguity (contig NG50: 17.24–80.64 Mb), few assembly errors (contig NGA50: 11.8–59.59 Mb), good consensus quality (QV: 27.84–42.88) and high gene completeness (BUSCO complete: 94.6–95.2%), while consuming low computational resources (CPU hours: 187–1,200). In particular, the WENGAN assembly of the haploid CHM13 sample achieved a contig NG50 of 80.64 Mb (NGA50: 59.59 Mb), which surpasses the contiguity of the current human reference genome (GRCh38 contig NG50: 57.88 Mb).
format Online
Article
Text
id pubmed-8041623
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group US
record_format MEDLINE/PubMed
spelling pubmed-80416232021-04-27 Efficient hybrid de novo assembly of human genomes with WENGAN Di Genova, Alex Buena-Atienza, Elena Ossowski, Stephan Sagot, Marie-France Nat Biotechnol Article Generating accurate genome assemblies of large, repeat-rich human genomes has proved difficult using only long, error-prone reads, and most human genomes assembled from long reads add accurate short reads to polish the consensus sequence. Here we report an algorithm for hybrid assembly, WENGAN, that provides very high quality at low computational cost. We demonstrate de novo assembly of four human genomes using a combination of sequencing data generated on ONT PromethION, PacBio Sequel, Illumina and MGI technology. WENGAN implements efficient algorithms to improve assembly contiguity as well as consensus quality. The resulting genome assemblies have high contiguity (contig NG50: 17.24–80.64 Mb), few assembly errors (contig NGA50: 11.8–59.59 Mb), good consensus quality (QV: 27.84–42.88) and high gene completeness (BUSCO complete: 94.6–95.2%), while consuming low computational resources (CPU hours: 187–1,200). In particular, the WENGAN assembly of the haploid CHM13 sample achieved a contig NG50 of 80.64 Mb (NGA50: 59.59 Mb), which surpasses the contiguity of the current human reference genome (GRCh38 contig NG50: 57.88 Mb). Nature Publishing Group US 2020-12-14 2021 /pmc/articles/PMC8041623/ /pubmed/33318652 http://dx.doi.org/10.1038/s41587-020-00747-w Text en © The Author(s) 2020 https://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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Di Genova, Alex
Buena-Atienza, Elena
Ossowski, Stephan
Sagot, Marie-France
Efficient hybrid de novo assembly of human genomes with WENGAN
title Efficient hybrid de novo assembly of human genomes with WENGAN
title_full Efficient hybrid de novo assembly of human genomes with WENGAN
title_fullStr Efficient hybrid de novo assembly of human genomes with WENGAN
title_full_unstemmed Efficient hybrid de novo assembly of human genomes with WENGAN
title_short Efficient hybrid de novo assembly of human genomes with WENGAN
title_sort efficient hybrid de novo assembly of human genomes with wengan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041623/
https://www.ncbi.nlm.nih.gov/pubmed/33318652
http://dx.doi.org/10.1038/s41587-020-00747-w
work_keys_str_mv AT digenovaalex efficienthybriddenovoassemblyofhumangenomeswithwengan
AT buenaatienzaelena efficienthybriddenovoassemblyofhumangenomeswithwengan
AT ossowskistephan efficienthybriddenovoassemblyofhumangenomeswithwengan
AT sagotmariefrance efficienthybriddenovoassemblyofhumangenomeswithwengan