Simultaneous mutation and copy number variation (CNV) detection by multiplex PCR-based GS-FLX sequencing

2008 ◽  
Vol 30 (3) ◽  
pp. 472-476 ◽  
Author(s):  
Dirk Goossens ◽  
Lotte N. Moens ◽  
Eva Nelis ◽  
An-Sofie Lenaerts ◽  
Wim Glassee ◽  
...  
2020 ◽  
Vol 36 (12) ◽  
pp. 3890-3891
Author(s):  
Linjie Wu ◽  
Han Wang ◽  
Yuchao Xia ◽  
Ruibin Xi

Abstract Motivation Whole-genome sequencing (WGS) is widely used for copy number variation (CNV) detection. However, for most bacteria, their circular genome structure and high replication rate make reads more enriched near the replication origin. CNV detection based on read depth could be seriously influenced by such replication bias. Results We show that the replication bias is widespread using ∼200 bacterial WGS data. We develop CNV-BAC (CNV-Bacteria) that can properly normalize the replication bias and other known biases in bacterial WGS data and can accurately detect CNVs. Simulation and real data analysis show that CNV-BAC achieves the best performance in CNV detection compared with available algorithms. Availability and implementation CNV-BAC is available at https://github.com/XiDsLab/CNV-BAC. Supplementary information Supplementary data are available at Bioinformatics online.


Gene ◽  
2012 ◽  
Vol 506 (2) ◽  
pp. 383-386 ◽  
Author(s):  
Nattachet Plengvidhya ◽  
Kanjana Chanprasert ◽  
Watip Tangjittipokin ◽  
Wanna Thongnoppakhun ◽  
Pa-thai Yenchitsomanus

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Joaquim Manoel da Silva ◽  
Poliana Fernanda Giachetto ◽  
Luiz Otávio da Silva ◽  
Leandro Carrijo Cintra ◽  
Samuel Rezende Paiva ◽  
...  

2018 ◽  
Vol 480 ◽  
pp. 173-179 ◽  
Author(s):  
Paola Concolino ◽  
Roberta Rizza ◽  
Flavio Mignone ◽  
Alessandra Costella ◽  
Donatella Guarino ◽  
...  

2019 ◽  
Author(s):  
Linjie Wu ◽  
Han Wang ◽  
Yuchao Xia ◽  
Ruibin Xi

AbstractMotivationWhole genome sequencing (WGS) is widely used for copy number variation (CNV) detection. However, for most bacteria, their circular genome structure and high replication rate make reads more enriched near the replication origin. CNV detection based on read depth could be seriously influenced by such replication bias.ResultsWe show that the replication bias is widespread using ~200 bacterial WGS data. We develop CNV-BAC that can properly normalize the replication bias as well as other known biases in bacterial WGS data and can accurately detect CNVs. Simulation and real data analysis show that CNV-BAC achieves the best performance in CNV detection compared with available algorithms.Availability and implementationCNV-BAC is available at https://github.com/LinjieWu/[email protected]


2008 ◽  
Vol 29 (1) ◽  
pp. 182-189 ◽  
Author(s):  
Naoya Hosono ◽  
Michiaki Kubo ◽  
Yumiko Tsuchiya ◽  
Hiroko Sato ◽  
Takuya Kitamoto ◽  
...  

2015 ◽  
Vol 76 (S 01) ◽  
Author(s):  
Georgios Zenonos ◽  
Peter Howard ◽  
Maureen Lyons-Weiler ◽  
Wang Eric ◽  
William LaFambroise ◽  
...  

BIOCELL ◽  
2018 ◽  
Vol 42 (3) ◽  
pp. 87-91 ◽  
Author(s):  
Sergio LAURITO ◽  
Juan A. CUETO ◽  
Jimena PEREZ ◽  
Mar韆 ROQU�

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