Evidence map›Paper›PMID 23202421›Full record

ArticleIn silico biology

QColors: an algorithm for conservative viral quasispecies reconstruction from short and non-contiguous next generation sequencing reads.

Austin Huang, Rami Kantor, Allison DeLong, Leeann Schreier, Sorin Istrail

Abstract read
In one paragraph

Article in In silico biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Evaluation of haplotype callers for next-generation sequencing of viruses.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
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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

5 authors.

Austin HuangDivision of Infectious Disease, Computer Science Department, Brown University, Box 1910, Providence, RI 02912, USA. austinh@alum.mit.edu
Rami Kantor
Allison DeLong
Leeann Schreier
Sorin Istrail

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
HIV and Other Infectious Consequences of Substance UseT32DA013911 · NIDA · MIRIAM HOSPITAL · PI TRACI C GREEN, JOSIAH D RICH · 2001 to 2026
$9.6M
HIV-1 Drug Resistance in Different SubtypesR01AI066922 · NIAID · STANFORD UNIVERSITY · PI KANTOR, RAMI, KATZENSTEIN, DAVID ALLENBERG · 2008 to 2012
$3.6M
NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853NIAID NIH HHS R01 AI066922NIAID NIH HHS R01AI66922NIDA NIH HHS T32 DA013911NIDA NIH HHS T32DA13911-10
6 · The paper itself

Abstract

Next generation sequencing technologies have recently been applied to characterize mutational spectra of the heterogeneous population of viral genotypes (known as a quasispecies) within HIV-infected patients. Such information is clinically relevant because minority genetic subpopulations of HIV within patients enable viral escape from selection pressures such as the immune response and antiretroviral therapy. However, methods for quasispecies sequence reconstruction from next generation sequencing reads are not yet widely used and remains an emerging area of research. Furthermore, the majority of research methodology in HIV has focused on 454 sequencing, while many next-generation sequencing platforms used in practice are limited to shorter read lengths relative to 454 sequencing. Little work has been done in determining how best to address the read length limitations of other platforms. The approach described here incorporates graph representations of both read differences and read overlap to conservatively determine the regions of the sequence with sufficient variability to separate quasispecies sequences. Within these tractable regions of quasispecies inference, we use constraint programming to solve for an optimal quasispecies subsequence determination via vertex coloring of the conflict graph, a representation which also lends itself to data with non-contiguous reads such as paired-end sequencing. We demonstrate the utility of the method by applying it to simulations based on actual intra-patient clonal HIV-1 sequencing data.

Indexed as

AlgorithmsGenome, ViralHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID23202421
PMCPMC5530257

What OpenQuestion holds

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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 OpenQuestion graph.