Title | Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes. |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Shafin, K, Pesout, T, Lorig-Roach, R, Haukness, M, Olsen, HE, Bosworth, C, Armstrong, J, Tigyi, K, Maurer, N, Koren, S, Sedlazeck, FJ, Marschall, T, Mayes, S, Costa, V, Zook, JM, Liu, KJ, Kilburn, D, Sorensen, M, Munson, KM, Vollger, MR, Monlong, J, Garrison, E, Eichler, EE, Salama, S, Haussler, D, Green, RE, Akeson, M, Phillippy, A, Miga, KH, Carnevali, P, Jain, M, Paten, B |
Journal | Nat Biotechnol |
Volume | 38 |
Issue | 9 |
Pagination | 1044-1053 |
Date Published | 2020 Sep |
ISSN | 1546-1696 |
Keywords | Algorithms, Benchmarking, Chromosomes, Human, Deep Learning, Genome, Human, Genomics, Haploidy, High-Throughput Nucleotide Sequencing, HLA Antigens, Humans, Nanopore Sequencing, Sequence Analysis, DNA |
Abstract | De novo assembly of a human genome using nanopore long-read sequences has been reported, but it used more than 150,000 CPU hours and weeks of wall-clock time. To enable rapid human genome assembly, we present Shasta, a de novo long-read assembler, and polishing algorithms named MarginPolish and HELEN. Using a single PromethION nanopore sequencer and our toolkit, we assembled 11 highly contiguous human genomes de novo in 9 d. We achieved roughly 63× coverage, 42-kb read N50 values and 6.5× coverage in reads >100 kb using three flow cells per sample. Shasta produced a complete haploid human genome assembly in under 6 h on a single commercial compute node. MarginPolish and HELEN polished haploid assemblies to more than 99.9% identity (Phred quality score QV = 30) with nanopore reads alone. Addition of proximity-ligation sequencing enabled near chromosome-level scaffolds for all 11 genomes. We compare our assembly performance to existing methods for diploid, haploid and trio-binned human samples and report superior accuracy and speed. |
DOI | 10.1038/s41587-020-0503-6 |
Alternate Journal | Nat Biotechnol |
PubMed ID | 32686750 |
PubMed Central ID | PMC7483855 |
Grant List | U01 HG010961 / HG / NHGRI NIH HHS / United States U01 HL137183 / HL / NHLBI NIH HHS / United States U41 HG010972 / HG / NHGRI NIH HHS / United States / HHMI / Howard Hughes Medical Institute / United States U41 HG007234 / HG / NHGRI NIH HHS / United States T32 HG008345 / HG / NHGRI NIH HHS / United States R01 HG010329 / HG / NHGRI NIH HHS / United States U01 HG010971 / HG / NHGRI NIH HHS / United States R01 HG010053 / HG / NHGRI NIH HHS / United States R01 HG009737 / HG / NHGRI NIH HHS / United States R01 HG010485 / HG / NHGRI NIH HHS / United States U54 HG007990 / HG / NHGRI NIH HHS / United States U24 HG009084 / HG / NHGRI NIH HHS / United States R03 HG009730 / HG / NHGRI NIH HHS / United States OT3 HL142481 / HL / NHLBI NIH HHS / United States R44 GM134994 / GM / NIGMS NIH HHS / United States OT2 OD026682 / OD / NIH HHS / United States U24 HG010262 / HG / NHGRI NIH HHS / United States R43 HG009859 / HG / NHGRI NIH HHS / United States |