These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
198 related articles for article (PubMed ID: 30222580)
1. Preprocessing Sequence Coverage Data for More Precise Detection of Copy Number Variations. Zare F; Ansari S; Najarian K; Nabavi S IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(3):868-876. PubMed ID: 30222580 [TBL] [Abstract][Full Text] [Related]
2. Noise cancellation using total variation for copy number variation detection. Zare F; Hosny A; Nabavi S BMC Bioinformatics; 2018 Oct; 19(Suppl 11):361. PubMed ID: 30343665 [TBL] [Abstract][Full Text] [Related]
3. An evaluation of copy number variation detection tools for cancer using whole exome sequencing data. Zare F; Dow M; Monteleone N; Hosny A; Nabavi S BMC Bioinformatics; 2017 May; 18(1):286. PubMed ID: 28569140 [TBL] [Abstract][Full Text] [Related]
4. Copy Number Variation Detection Using Total Variation. Zare F; Nabavi S ACM BCB; 2019 Sep; 2019():423-428. PubMed ID: 32515750 [TBL] [Abstract][Full Text] [Related]
5. Identification of Copy Number Alterations from Next-Generation Sequencing Data. Nabavi S; Zare F Adv Exp Med Biol; 2022; 1361():55-74. PubMed ID: 35230683 [TBL] [Abstract][Full Text] [Related]
6. iCopyDAV: Integrated platform for copy number variations-Detection, annotation and visualization. Dharanipragada P; Vogeti S; Parekh N PLoS One; 2018; 13(4):e0195334. PubMed ID: 29621297 [TBL] [Abstract][Full Text] [Related]
7. Computational methods for detecting copy number variations in cancer genome using next generation sequencing: principles and challenges. Liu B; Morrison CD; Johnson CS; Trump DL; Qin M; Conroy JC; Wang J; Liu S Oncotarget; 2013 Nov; 4(11):1868-81. PubMed ID: 24240121 [TBL] [Abstract][Full Text] [Related]
8. Bamgineer: Introduction of simulated allele-specific copy number variants into exome and targeted sequence data sets. Samadian S; Bruce JP; Pugh TJ PLoS Comput Biol; 2018 Mar; 14(3):e1006080. PubMed ID: 29590101 [TBL] [Abstract][Full Text] [Related]
9. CNV-CH: A Convex Hull Based Segmentation Approach to Detect Copy Number Variations (CNV) Using Next-Generation Sequencing Data. Sinha R; Samaddar S; De RK PLoS One; 2015; 10(8):e0135895. PubMed ID: 26291322 [TBL] [Abstract][Full Text] [Related]
10. A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data. Yuan X; Li J; Bai J; Xi J IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1811-1820. PubMed ID: 31880558 [TBL] [Abstract][Full Text] [Related]
11. Free-access copy-number variant detection tools for targeted next-generation sequencing data. Roca I; González-Castro L; Fernández H; Couce ML; Fernández-Marmiesse A Mutat Res Rev Mutat Res; 2019; 779():114-125. PubMed ID: 31097148 [TBL] [Abstract][Full Text] [Related]
12. CNV Detection from Exome Sequencing Data in Routine Diagnostics of Rare Genetic Disorders: Opportunities and Limitations. Royer-Bertrand B; Cisarova K; Niel-Butschi F; Mittaz-Crettol L; Fodstad H; Superti-Furga A Genes (Basel); 2021 Sep; 12(9):. PubMed ID: 34573409 [TBL] [Abstract][Full Text] [Related]
13. CNVind: an open source cloud-based pipeline for rare CNVs detection in whole exome sequencing data based on the depth of coverage. Kuśmirek W; Nowak R BMC Bioinformatics; 2022 Mar; 23(1):85. PubMed ID: 35247967 [TBL] [Abstract][Full Text] [Related]
14. CNV-TV: a robust method to discover copy number variation from short sequencing reads. Duan J; Zhang JG; Deng HW; Wang YP BMC Bioinformatics; 2013 May; 14():150. PubMed ID: 23634703 [TBL] [Abstract][Full Text] [Related]
15. Detection Copy Number Variants from NGS with Sparse and Smooth Constraints. Zhang Y; Cheung YM; Xu B; Su W IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(4):856-867. PubMed ID: 27164604 [TBL] [Abstract][Full Text] [Related]
16. The clinical implementation of copy number detection in the age of next-generation sequencing. Hehir-Kwa JY; Tops BBJ; Kemmeren P Expert Rev Mol Diagn; 2018 Oct; 18(10):907-915. PubMed ID: 30221560 [TBL] [Abstract][Full Text] [Related]
17. cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate. Klambauer G; Schwarzbauer K; Mayr A; Clevert DA; Mitterecker A; Bodenhofer U; Hochreiter S Nucleic Acids Res; 2012 May; 40(9):e69. PubMed ID: 22302147 [TBL] [Abstract][Full Text] [Related]
18. Statistical Considerations on NGS Data for Inferring Copy Number Variations. Chen J Methods Mol Biol; 2021; 2243():27-58. PubMed ID: 33606251 [TBL] [Abstract][Full Text] [Related]
19. Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data. Gao J; Wan C; Zhang H; Li A; Zang Q; Ban R; Ali A; Yu Z; Shi Q; Jiang X; Zhang Y BMC Bioinformatics; 2017 Oct; 18(1):436. PubMed ID: 28974218 [TBL] [Abstract][Full Text] [Related]
20. Copy number variation profiling in pharmacogenes using panel-based exome resequencing and correlation to human liver expression. Tremmel R; Klein K; Battke F; Fehr S; Winter S; Scheurenbrand T; Schaeffeler E; Biskup S; Schwab M; Zanger UM Hum Genet; 2020 Feb; 139(2):137-149. PubMed ID: 31786673 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]