RESUMEN
BACKGROUND: Long DNA reads produced by single-molecule and pore-based sequencers are more suitable for assembly and structural variation discovery than short-read DNA fragments. For de novo assembly, Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) are the favorite options. However, PacBio's SMRT sequencing is expensive for a full human genome assembly and costs more than $40,000 US for 30× coverage as of 2019. ONT PromethION sequencing, on the other hand, is 1/12 the price of PacBio for the same coverage. This study aimed to compare the cost-effectiveness of ONT PromethION and PacBio's SMRT sequencing in relation to the quality. FINDINGS: We performed whole-genome de novo assemblies and comparison to construct an improved version of KOREF, the Korean reference genome, using sequencing data produced by PromethION and PacBio. With PromethION, an assembly using sequenced reads with 64× coverage (193 Gb, 3 flowcell sequencing) resulted in 3,725 contigs with N50s of 16.7 Mb and a total genome length of 2.8 Gb. It was comparable to a KOREF assembly constructed using PacBio at 62× coverage (188 Gb, 2,695 contigs, and N50s of 17.9 Mb). When we applied Hi-C-derived long-range mapping data, an even higher quality assembly for the 64× coverage was achieved, resulting in 3,179 scaffolds with an N50 of 56.4 Mb. CONCLUSION: The pore-based PromethION approach provided a high-quality chromosome-scale human genome assembly at a low cost with long maximum contig and scaffold lengths and was more cost-effective than PacBio at comparable quality measurements.
Asunto(s)
Cromosomas Humanos/genética , Mapeo Contig/economía , Secuenciación Completa del Genoma/métodos , Mapeo Contig/métodos , Análisis Costo-Beneficio , Bases de Datos Genéticas , Secuenciación de Nucleótidos de Alto Rendimiento/economía , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Humanos , República de Corea , Imagen Individual de Molécula , Secuenciación Completa del Genoma/economíaRESUMEN
BACKGROUND: The recent availability of new, less expensive high-throughput DNA sequencing technologies has yielded a dramatic increase in the volume of sequence data that must be analyzed. These data are being generated for several purposes, including genotyping, genome resequencing, metagenomics, and de novo genome assembly projects. Sequence alignment programs such as MUMmer have proven essential for analysis of these data, but researchers will need ever faster, high-throughput alignment tools running on inexpensive hardware to keep up with new sequence technologies. RESULTS: This paper describes MUMmerGPU, an open-source high-throughput parallel pairwise local sequence alignment program that runs on commodity Graphics Processing Units (GPUs) in common workstations. MUMmerGPU uses the new Compute Unified Device Architecture (CUDA) from nVidia to align multiple query sequences against a single reference sequence stored as a suffix tree. By processing the queries in parallel on the highly parallel graphics card, MUMmerGPU achieves more than a 10-fold speedup over a serial CPU version of the sequence alignment kernel, and outperforms the exact alignment component of MUMmer on a high end CPU by 3.5-fold in total application time when aligning reads from recent sequencing projects using Solexa/Illumina, 454, and Sanger sequencing technologies. CONCLUSION: MUMmerGPU is a low cost, ultra-fast sequence alignment program designed to handle the increasing volume of data produced by new, high-throughput sequencing technologies. MUMmerGPU demonstrates that even memory-intensive applications can run significantly faster on the relatively low-cost GPU than on the CPU.
Asunto(s)
Gráficos por Computador/instrumentación , Sistemas de Administración de Bases de Datos , Alineación de Secuencia/economía , Alineación de Secuencia/instrumentación , Animales , Bacillus anthracis/genética , Secuencia de Bases , Caenorhabditis/genética , Gráficos por Computador/economía , Computadores/economía , Mapeo Contig/economía , Mapeo Contig/instrumentación , ADN/ultraestructura , Bases de Datos Genéticas , Biblioteca Genómica , Listeria monocytogenes/genética , Alineación de Secuencia/métodos , Análisis de Secuencia de ADN/economía , Análisis de Secuencia de ADN/instrumentación , Análisis de Secuencia de ADN/métodos , Streptococcus suis/genética , Factores de Tiempo , Simplificación del TrabajoRESUMEN
Although the cost of generating draft-quality genomic sequence continues to decline, refining that sequence by the process of "sequence finishing" remains expensive. Near-perfect finished sequence is an appropriate goal for the human genome and a small set of reference genomes; however, such a high-quality product cannot be cost-justified for large numbers of additional genomes, at least for the foreseeable future. Here we describe the generation and quality of an intermediate grade of finished genomic sequence (termed comparative-grade finished sequence), which is tailored for use in multispecies sequence comparisons. Our analyses indicate that this sequence is very high quality (with the residual gaps and errors mostly falling within repetitive elements) and reflects 99% of the total sequence. Importantly, comparative-grade sequence finishing requires approximately 40-fold less reagents and approximately 10-fold less personnel effort compared to the generation of near-perfect finished sequence, such as that produced for the human genome. Although applied here to finishing sequence derived from individual bacterial artificial chromosome (BAC) clones, one could envision establishing routines for refining sequences emanating from whole-genome shotgun sequencing projects to a similar quality level. Our experience to date demonstrates that comparative-grade sequence finishing represents a practical and affordable option for sequence refinement en route to comparative analyses.
