Evidence map›Paper›PMID 31418021›Full record

ArticleNucleic acids research2019

Long-read amplicon denoising.

Venkatesh Kumar, Thomas Vollbrecht, Mark Chernyshev, Sanjay Mohan, Brian Hanst, Nicholas Bavafa, Antonia Lorenzo, Nikesh Kumar, Robert Ketteringham, Kemal Eren and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Venkatesh KumarDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden.
Thomas VollbrechtDepartment of Medicine, University of California, San Diego, La Jolla 92093, CA, USA.
Mark ChernyshevDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden.
Sanjay MohanDepartment of Medicine, University of California, San Diego, La Jolla 92093, CA, USA.
Brian HanstDepartment of Biology, University of California, San Diego, La Jolla 92093, CA, USA.
Nicholas BavafaDepartment of Medicine, University of California, San Diego, La Jolla 92093, CA, USA.
Antonia LorenzoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden.
Nikesh KumarDepartment of Medicine, University of California, San Diego, La Jolla 92093, CA, USA.
Robert KetteringhamDepartment of Pathology, Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Science, University of Cape Town, Cape Town 7925, South Africa.
Kemal ErenDepartment of Medicine, University of California, San Diego, La Jolla 92093, CA, USA.
Michael GoldenDepartment of Statistics, University of Oxford, Oxford OX1 3LB, UK.
Michelli F OliveiraDepartment of Medicine, University of California, San Diego, La Jolla 92093, CA, USA.
Ben MurrellDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden.

Funding

LC: HIV Vaccine Trials NetworkUM1AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Margaret Juliana McElrath · 2011 to 2026
$483.6M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI MARI M KITAHATA · 1988 to 2026
$104.9M
UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
Comparative Study of Molecular Signatures in HIV-Related Neuropathogenesis and Alzheimer's DiseaseR01AG061066 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GALASKO, DOUGLAS R · 2018 to 2022
$3.8M
High-throughput Deep Sequencing Assay to Reliably Measure the HIV Reservoir during Antiretroviral TherapyR01AI120009 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2015 to 2019
$3.4M
Characterizing proviral populations in brain tissuesR33DA041007 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2018 to 2019
$1.4M
Viral sequence and dynamic determinants of antibody breadthR00AI120851 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MURRELL, BENJAMIN SYLVESTER · 2016 to 2017
$493k
NCATS NIH HHS UL1 TR001442NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI036214NIAID NIH HHS R00 AI120851NIAID NIH HHS R01 AI120009NIAID NIH HHS UM1 AI068618NIA NIH HHS R01 AG061066NIDA NIH HHS R33 DA041007
6 · The paper itself

Abstract

Long-read next-generation amplicon sequencing shows promise for studying complete genes or genomes from complex and diverse populations. Current long-read sequencing technologies have challenging error profiles, hindering data processing and incorporation into downstream analyses. Here we consider the problem of how to reconstruct, free of sequencing error, the true sequence variants and their associated frequencies from PacBio reads. Called 'amplicon denoising', this problem has been extensively studied for short-read sequencing technologies, but current solutions do not always successfully generalize to long reads with high indel error rates. We introduce two methods: one that runs nearly instantly and is very accurate for medium length reads and high template coverage, and another, slower method that is more robust when reads are very long or coverage is lower. On two Mock Virus Community datasets with ground truth, each sequenced on a different PacBio instrument, and on a number of simulated datasets, we compare our two approaches to each other and to existing algorithms. We outperform all tested methods in accuracy, with competitive run times even for our slower method, successfully discriminating templates that differ by a just single nucleotide. Julia implementations of Fast Amplicon Denoising (FAD) and Robust Amplicon Denoising (RAD), and a webserver interface, are freely available.

Indexed as

MetagenomicsAlgorithmsCell Surface Display TechniquesHigh-Throughput Nucleotide SequencingHIVPhylogenyRNA, Ribosomal, 16SSequence AlignmentSingle-Chain AntibodiesSoftwareVirusesRNA, Ribosomal, 16SSingle-Chain Antibodies

Identifiers

PMID31418021
PMCPMC6765106

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.