The advantages of SMRT sequencing

By R. Roberts, Mauricio O. Carneiro, Michael C. Schatz. Genome Biology, 2013

617 citations recorded by the source corpus.

Of the current next-generation sequencing technologies, SMRT sequencing is sometimes overlooked. However, attributes such as long reads, modified base detection and high accuracy make SMRT a useful technology and an ideal approach to the complete sequencing of small genomes.

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/6f5d2d49c1d1e2d5595f2366f82fbc051bc88f8e

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Citations in the corpus

Piercing the dark matter: bioinformatics of long-range sequencing and mapping (2018, methodology): “One major advance has been the introduction of long-read single-molecule sequencing using single-molecule real time (SMRT) sequencing from Pacific Biosciences (PacBio) 7 or nanopore-based sequencing from Oxford Nanopore Technologies 8 .”
The Genome 10K Project: A Way Forward (2015, positive): “However, ongoing improvements in SMRT sequencing are beginning to ameliorate these concerns (32), and high-quality assemblies can often be obtained through hybrid approaches in which assemblies are generated using both short reads”
Next-Generation Sequencing Technology: Current Trends and Advancements (2023, background): “such as whole-genome sequencing, whole-exome sequencing, and targeted sequencing.”
Biofloc Technology (BFT): A Tool for Water Quality Management in Aquaculture (2017, neutral): “Novel technologies such as single-molecule real-time (SMRT) sequencing have been developed [74].”
Assembly of long error-prone reads using de Bruijn graphs (2016, background): “, 2013 [51] even referred to this widespread skepticism as the “error myth” and argued that new assemblers for error-prone reads need to be developed to debunk this myth.”
proovread: large-scale high-accuracy PacBio correction through iterative short read consensus (2014, methodology): “With the latest chemistry, this approach delivers reads longer than 4 kbp enabling the assembly of larger repeat structures (Roberts, Carneiro, and Michael C Schatz, 2013).”
WhatsHap: fast and accurate read-based phasing (2016, background): “2 Tools Driven by the advances in third-generation sequencing [16, 17, 18] and the corresponding growth in read length, read-based phasing has been gaining considerable attention [19].”
Transcriptome assembly from long-read RNA-seq alignments with StringTie2 (2019, background): “…adopted for transcriptome assembly, in part because they have a much higher error rate (typically 8 – 10% or higher), making alignment difficult [24, 25], and also because long-read sequencers have much lower throughput, which makes accurate quantification of all but the highest-expressed genes…”