Evidence map›Paper›PMID 29267855›Full record

ArticleGigaScience2018

BS-virus-finder: virus integration calling using bisulfite sequencing data.

Shengjie Gao, Xuesong Hu, Fengping Xu, Changduo Gao, Kai Xiong, Xiao Zhao, Haixiao Chen, Shancen Zhao, Mengyao Wang, Dongke Fu and 10 more

Abstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

20 authors.

Shengjie GaoBioinformatics Research Center, Aarhus University, C. F. Møllers Allé 8, DK-8000, Aarhus C, Denmark.
Xuesong HuForensics Genomics International (FGI), BGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Fengping XuBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Changduo GaoCollege of Computer Science and Technology, Qingdao University, Qingdao 266071, China.
Kai XiongDepartment of Veterinary Clinical and Animal Sciences, University of Copenhagen, Grønnegårdsvej 15, DK-1870 Frederiksberg C, Denmark.
Xiao ZhaoForensics Genomics International (FGI), BGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Haixiao ChenBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Shancen ZhaoBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Mengyao WangBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Dongke FuForensics Genomics International (FGI), BGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Xiaohui ZhaoCollege of Mathematics & Statistics, Changsha University of Science and Technology, Changsha 410114, China.
Jie BaiBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Likai MaoBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Bo LiForensics Genomics International (FGI), BGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Song WuThe Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen 518000, China.
Jian WangBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Shengbin LiForensics Genomics International (FGI), BGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Huangming YangBGI-Shenzhen, BeiShan Industrial Zone, Yantian District, Shenzhen, Guangdong 518083, China.
Lars BolundDepartment of Biomedicine, Aarhus University, Vennelyst Boulevard 4, DK-8000 Aarhus C, Denmark.
Christian N S PedersenBioinformatics Research Center, Aarhus University, C. F. Møllers Allé 8, DK-8000, Aarhus C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: DNA methylation plays a key role in the regulation of gene expression and carcinogenesis. Bisulfite sequencing studies mainly focus on calling single nucleotide polymorphism, different methylation region, and find allele-specific DNA methylation. Until now, only a few software tools have focused on virus integration using bisulfite sequencing data. Findings: We have developed a new and easy-to-use software tool, named BS-virus-finder (BSVF, RRID:SCR_015727), to detect viral integration breakpoints in whole human genomes. The tool is hosted at https://github.com/BGI-SZ/BSVF. Conclusions: BS-virus-finder demonstrates high sensitivity and specificity. It is useful in epigenetic studies and to reveal the relationship between viral integration and DNA methylation. BS-virus-finder is the first software tool to detect virus integration loci by using bisulfite sequencing data.

Indexed as

Genome, HumanSoftwareVirus IntegrationBase PairingBase SequenceCell Line, TumorDNA MethylationDNA, ViralEpigenesis, GeneticHepatitis B virusHepatocytesHigh-Throughput Nucleotide SequencingHumansSensitivity and SpecificitySulfitesWhole Genome SequencingDNA, Viralhydrogen sulfiteSulfitesbisulfite sequencingcarcinogenesisvirus integration

Identifiers

PMID29267855
PMCPMC5788064

What OpenQuestion holds

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LicenceCC BY
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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.