Evidence map›Paper›PMID 30867008›Full record

ArticleGenome biology2019

Analysis of error profiles in deep next-generation sequencing data.

Xiaotu Ma, Ying Shao, Liqing Tian, Diane A Flasch, Heather L Mulder, Michael N Edmonson, Yu Liu, Xiang Chen, Scott Newman, Joy Nakitandwe and 9 more

Abstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 1 pooled it
–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

172 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. GapSense: Similarity Estimation-Based Gap Filler with TGS-Reads for Genome Assemblies.Interdisciplinary sciences, computational life sciences · 2026
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  9. Assessing Species Delimitation inMicroorganisms · 2026
    Article
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  12. Review
  13. Review
  14. Article
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  17. Article
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  19. Review
  20. Review

112 more citing papers are in PubMed but not listed here.

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

19 authors.

Xiaotu MaDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. Xiaotu.Ma@stjude.org.ORCID 0000-0002-6233-2145
Ying ShaoDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Liqing TianDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Diane A FlaschDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Heather L MulderDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Michael N EdmonsonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Yu LiuDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Xiang ChenDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Scott NewmanDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Joy NakitandweDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Yongjin LiDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Benshang LiKey Laboratory of Pediatric Hematology and Oncology Ministry of Health, Department of Hematology and Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Shuhong ShenKey Laboratory of Pediatric Hematology and Oncology Ministry of Health, Department of Hematology and Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Zhaoming WangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Sheila ShurtleffDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Leslie L RobisonDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Shawn LevyHudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA.
John EastonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Jinghui ZhangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. Jinghui.Zhang@stjude.org.

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Late Effects Prediction using Clinical Phenotypes and Whole Genome SequencingR01CA216354 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI YASUI, YUTAKA, ZHANG, JINGHUI · 2017 to 2021
$3.4M
NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA216354
6 · The paper itself

Abstract

backgroundSequencing errors are key confounding factors for detecting low-frequency genetic variants that are important for cancer molecular diagnosis, treatment, and surveillance using deep next-generation sequencing (NGS). However, there is a lack of comprehensive understanding of errors introduced at various steps of a conventional NGS workflow, such as sample handling, library preparation, PCR enrichment, and sequencing. In this study, we use current NGS technology to systematically investigate these questions.

resultsBy evaluating read-specific error distributions, we discover that the substitution error rate can be computationally suppressed to 10

conclusionsWe present the first comprehensive analysis of sequencing error sources in conventional NGS workflows. The error profiles revealed by our study highlight new directions for further improving NGS analysis accuracy both experimentally and computationally, ultimately enhancing the precision of deep sequencing.

Indexed as

SoftwareCase-Control StudiesHigh-Throughput Nucleotide SequencingHumansMutationNeoplasmsPolymerase Chain ReactionQuality ControlSequence Analysis, DNADeep sequencingDetectionError rateHotspot mutationSubclonalSubstitution

Identifiers

PMID30867008
PMCPMC6417284

What OpenQuestion 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 OpenQuestion graph.