Evidence map›Paper›PMID 29195502›Full record

ArticleGenome biology2017

OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps.

Le Li, Alden King-Yung Leung, Tsz-Piu Kwok, Yvonne Y Y Lai, Iris K Pang, Grace Tin-Yun Chung, Angel C Y Mak, Annie Poon, Catherine Chu, Menglu Li and 11 more

Abstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Multi-Omic Investigations of a 17-19 Translocation LinksInternational journal of molecular sciences · 2022
    Article
  5. Progress in Methods for Copy Number Variation Profiling.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Structural variation in the sequencing era.Nature reviews. Genetics · 2020
    Review
  11. Advances in optical mapping for genomic research.Computational and structural biotechnology journal · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

21 authors.

Le LiDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Alden King-Yung LeungSchool of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Tsz-Piu KwokDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Yvonne Y Y LaiCardiovascular Research Institute, University of California San Francisco, San Francisco, California, USA.
Iris K PangSchool of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Grace Tin-Yun ChungDepartment of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Angel C Y MakCardiovascular Research Institute, University of California San Francisco, San Francisco, California, USA.
Annie PoonCardiovascular Research Institute, University of California San Francisco, San Francisco, California, USA.
Catherine ChuCardiovascular Research Institute, University of California San Francisco, San Francisco, California, USA.
Menglu LiDepartment of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong.
Jacob J K WuDepartment of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong.
Ernest T LamBioNano Genomics, San Diego, California, USA.
Han CaoBioNano Genomics, San Diego, California, USA.
Chin LinCardiovascular Research Institute, University of California San Francisco, San Francisco, California, USA.
Justin SibertSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, Pennsylvania, USA.
Siu-Ming YiuDepartment of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong.
Ming XiaoSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, Pennsylvania, USA.
Kwok-Wai LoDepartment of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Pui-Yan KwokCardiovascular Research Institute, University of California San Francisco, San Francisco, California, USA.
Ting-Fung ChanSchool of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong. tf.chan@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-0489-3884
Kevin Y YipDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong. kevinyip@cse.cuhk.edu.hk.ORCID http://orcid.org/0000-0001-5516-9944

Funding

DETECTION OF MUTANT LYMPHOCYTES IN CHEMOTHERAPY PATIENTSR01CA040316 · NCI · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI WARD, JONATHAN B · 1987 to 1990
–
HKSAR Food and Health Bureau Health and Medical Research Fund HMRF12110542HKSAR Research Grants Council Area of Excellence Scheme AoE/M-403/16HKSAR Research Grants Council General Research Fund 14102014HKSAR Research Grants Council Theme-based Research Scheme T12-401/13-RHKSAR Research Grants Council Theme-based Research Scheme T12-402/13-N
6 · The paper itself

Abstract

We present a new method, OMSV, for accurately and comprehensively identifying structural variations (SVs) from optical maps. OMSV detects both homozygous and heterozygous SVs, SVs of various types and sizes, and SVs with or without creating or destroying restriction sites. We show that OMSV has high sensitivity and specificity, with clear performance gains over the latest method. Applying OMSV to a human cell line, we identified hundreds of SVs >2 kbp, with 68 % of them missed by sequencing-based callers. Independent experimental validation confirmed the high accuracy of these SVs. The OMSV software is available at http://yiplab.cse.cuhk.edu.hk/omsv/ .

Indexed as

Genomic Structural VariationSoftwareComputational BiologyComputer SimulationGenome, HumanGenomicsHumansNanochannelOptical mappingSingle-molecule analysisStructural variation

Identifiers

PMID29195502
PMCPMC5709945

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.