Open Access
Open access
volume 23 issue 4 pages 2143

Progress in Methods for Copy Number Variation Profiling

Publication typeJournal Article
Publication date2022-02-15
scimago Q1
wos Q1
SJR1.273
CiteScore9.0
Impact factor4.9
ISSN16616596, 14220067
PubMed ID:  35216262
Catalysis
Organic Chemistry
Inorganic Chemistry
Physical and Theoretical Chemistry
Computer Science Applications
Spectroscopy
Molecular Biology
General Medicine
Abstract

Copy number variations (CNVs) are the predominant class of structural genomic variations involved in the processes of evolutionary adaptation, genomic disorders, and disease progression. Compared with single-nucleotide variants, there have been challenges associated with the detection of CNVs owing to their diverse sizes. However, the field has seen significant progress in the past 20–30 years. This has been made possible due to the rapid development of molecular diagnostic methods which ensure a more detailed view of the genome structure, further complemented by recent advances in computational methods. Here, we review the major approaches that have been used to routinely detect CNVs, ranging from cytogenetics to the latest sequencing technologies, and then cover their specific features.

Found 
Found 

Top-30

Journals

1
2
Journal of Cellular and Molecular Medicine
2 publications, 8.33%
EBioMedicine
1 publication, 4.17%
ACS Nano
1 publication, 4.17%
Case Reports in Genetics
1 publication, 4.17%
Journal of Biomedical Informatics
1 publication, 4.17%
Plant Pathology
1 publication, 4.17%
International Journal of Molecular Sciences
1 publication, 4.17%
Quantitative Biology
1 publication, 4.17%
DNA
1 publication, 4.17%
Animals
1 publication, 4.17%
Cancers
1 publication, 4.17%
Gene
1 publication, 4.17%
Journal of Applied Genetics
1 publication, 4.17%
Journal of Neurosciences in Rural Practice
1 publication, 4.17%
Briefings in Bioinformatics
1 publication, 4.17%
Genes
1 publication, 4.17%
Scientific Reports
1 publication, 4.17%
Prenatal Diagnosis
1 publication, 4.17%
Translational Pediatrics
1 publication, 4.17%
1
2

Publishers

1
2
3
4
5
Wiley
5 publications, 20.83%
MDPI
5 publications, 20.83%
Elsevier
4 publications, 16.67%
Springer Nature
3 publications, 12.5%
Cold Spring Harbor Laboratory
2 publications, 8.33%
American Chemical Society (ACS)
1 publication, 4.17%
Hindawi Limited
1 publication, 4.17%
Scientific Scholar
1 publication, 4.17%
Oxford University Press
1 publication, 4.17%
AME Publishing Company
1 publication, 4.17%
1
2
3
4
5
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
24
Share
Cite this
GOST |
Cite this
GOST Copy
Gordeeva V. D. et al. Progress in Methods for Copy Number Variation Profiling // International Journal of Molecular Sciences. 2022. Vol. 23. No. 4. p. 2143.
GOST all authors (up to 50) Copy
Gordeeva V. D., Sharova E., Arapidi G. P. Progress in Methods for Copy Number Variation Profiling // International Journal of Molecular Sciences. 2022. Vol. 23. No. 4. p. 2143.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.3390/ijms23042143
UR - https://doi.org/10.3390/ijms23042143
TI - Progress in Methods for Copy Number Variation Profiling
T2 - International Journal of Molecular Sciences
AU - Gordeeva, Veronika D.
AU - Sharova, E
AU - Arapidi, Georgij P.
PY - 2022
DA - 2022/02/15
PB - MDPI
SP - 2143
IS - 4
VL - 23
PMID - 35216262
SN - 1661-6596
SN - 1422-0067
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Gordeeva,
author = {Veronika D. Gordeeva and E Sharova and Georgij P. Arapidi},
title = {Progress in Methods for Copy Number Variation Profiling},
journal = {International Journal of Molecular Sciences},
year = {2022},
volume = {23},
publisher = {MDPI},
month = {feb},
url = {https://doi.org/10.3390/ijms23042143},
number = {4},
pages = {2143},
doi = {10.3390/ijms23042143}
}
MLA
Cite this
MLA Copy
Gordeeva, Veronika D., et al. “Progress in Methods for Copy Number Variation Profiling.” International Journal of Molecular Sciences, vol. 23, no. 4, Feb. 2022, p. 2143. https://doi.org/10.3390/ijms23042143.
Profiles