Evidence map›Paper›PMID 30561434›Full record

ArticleScientific data2018

Extensive and deep sequencing of the Venter/HuRef genome for developing and benchmarking genome analysis tools.

Bo Zhou, Joseph G Arthur, Steve S Ho, Reenal Pattni, Yiling Huang, Wing H Wong, Alexander E Urban

Abstract readDataset
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Resolving the 22q11.2 deletion using CTLR-Seq reveals chromosomal rearrangement mechanisms and individual variance in breakpoints.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Review
  5. Article
  6. Structural variation in the sequencing era.Nature reviews. Genetics · 2020
    Review
  7. Article
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

7 authors.

Bo ZhouDepartment of Psychiatry and Behavioral Sciences, Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.ORCID 0000-0001-6533-7462
Joseph G ArthurDepartment of Statistics, Department of Biomedical Data Science, Bio-X Program, Stanford University, Stanford, California 94305, USA.
Steve S HoDepartment of Psychiatry and Behavioral Sciences, Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Reenal PattniDepartment of Psychiatry and Behavioral Sciences, Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Yiling HuangDepartment of Psychiatry and Behavioral Sciences, Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Wing H WongDepartment of Statistics, Department of Biomedical Data Science, Bio-X Program, Stanford University, Stanford, California 94305, USA.
Alexander E UrbanDepartment of Psychiatry and Behavioral Sciences, Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Multi-Institutional Training in Genetic/Genomic Approaches to Sleep DisordersT32HL110952 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CHERVIN, RONALD D, MIGNOT, EMMANUEL J · 2013 to 2022
$5.0M
Statistical and computational analysis in whole genome sequencing studies.R01HG007834 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2014 to 2016
$892k
Interdisciplinary Training Program in Biostatistics and Personalized MedicineT32GM096982 · NIGMS · STANFORD UNIVERSITY · PI OLSHEN, RICHARD ALLEN, SABATTI, CHIARA · 2012 to 2016
$829k
NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG007834NHLBI NIH HHS T32 HL110952NIGMS NIH HHS T32 GM096982
6 · The paper itself

Abstract

We produced an extensive collection of deep re-sequencing datasets for the Venter/HuRef genome using the Illumina massively-parallel DNA sequencing platform. The original Venter genome sequence is a very-high quality phased assembly based on Sanger sequencing. Therefore, researchers developing novel computational tools for the analysis of human genome sequence variation for the dominant Illumina sequencing technology can test and hone their algorithms by making variant calls from these Venter/HuRef datasets and then immediately confirm the detected variants in the Sanger assembly, freeing them of the need for further experimental validation. This process also applies to implementing and benchmarking existing genome analysis pipelines. We prepared and sequenced 200 bp and 350 bp short-insert whole-genome sequencing libraries (sequenced to 100x and 40x genomic coverages respectively) as well as 2 kb, 5 kb, and 12 kb mate-pair libraries (49x, 122x, and 145x physical coverages respectively). Lastly, we produced a linked-read library (128x physical coverage) from which we also performed haplotype phasing.

Indexed as

Genome, HumanHigh-Throughput Nucleotide SequencingAlgorithmsBenchmarkingGene LibraryGenetic VariationHumansSequence Analysis, DNA

Identifiers

PMID30561434
PMCPMC6298255

What OpenQuestion holds

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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.