Evidence map›Paper›PMID 29220491›Full record

ArticleGigaScience2017

CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations.

Xihong Wang, Zhuqing Zheng, Yudong Cai, Ting Chen, Chao Li, Weiwei Fu, Yu Jiang

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
12.6field-weighted citation impact, top 1% of its field
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

85 citing papers in PubMed, 160 citations in OpenAlex.

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  17. Whole-Genome Sequencing Unveils the Uniqueness of Yushu Yaks (International journal of molecular sciences · 2025
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25 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

7 authors at 1 institution in 1 country.

Xihong WangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Zhuqing ZhengCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Yudong CaiCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Ting ChenCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Chao LiCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Weiwei FuCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Yu JiangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Northwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increasing amount of sequencing data available for a wide variety of species can be theoretically used for detecting copy number variations (CNVs) at the population level. However, the growing sample sizes and the divergent complexity of nonhuman genomes challenge the efficiency and robustness of current human-oriented CNV detection methods. Results: Here, we present CNVcaller, a read-depth method for discovering CNVs in population sequencing data. The computational speed of CNVcaller was 1-2 orders of magnitude faster than CNVnator and Genome STRiP for complex genomes with thousands of unmapped scaffolds. CNV detection of 232 goats required only 1.4 days on a single compute node. Additionally, the Mendelian consistency of sheep trios indicated that CNVcaller mitigated the influence of high proportions of gaps and misassembled duplications in the nonhuman reference genome assembly. Furthermore, multiple evaluations using real sheep and human data indicated that CNVcaller achieved the best accuracy and sensitivity for detecting duplications. Conclusions: The fast generalized detection algorithms included in CNVcaller overcome prior computational barriers for detecting CNVs in large-scale sequencing data with complex genomic structures. Therefore, CNVcaller promotes population genetic analyses of functional CNVs in more species.

Indexed as

DNA Copy Number VariationsAlgorithmsAnimalsComputational BiologyGenetics, PopulationGenome SizeHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASoftwareabsolute copy numbercopy number variationnext-generation sequencingpopulation geneticsread depth

Identifiers

PMID29220491
PMCPMC5751039
OpenAlexW2771774706

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.