Copy number variation detection using single cell sequencing data

Author(s):  
Fatima Zare ◽  
Jacob Stark ◽  
Sheida Nabavi
2017 ◽  
Vol 37 (4) ◽  
Author(s):  
Xinyi Zhang ◽  
Bo Liang ◽  
Xiaoyan Xu ◽  
Feifei Zhou ◽  
Lingyin Kong ◽  
...  

With the development and clinical application of genomics, more and more concern is focused on single-cell sequencing. In the process of single-cell sequencing, whole genome amplification is a key step to enrich sample DNA. Previous studies have compared the performance of different whole genome amplification (WGA) strategies on Illumina sequencing platforms, but there is no related research aimed at Ion Proton platform, which is also a popular next-generation sequencing platform. Here by amplifying cells from six cell lines with different karyotypes, we estimated the data features of four common commercial WGA kits (PicoPLEX WGA Kit, GenomePlex Single Cell Whole Genome Amplification Kit, MALBAC Single Cell Whole Genome Amplification Kit, and REPLI-g Single Cell Kit), including median absolute pairwise difference, uniformity, reproducibility, and fidelity, and examined their performance of copy number variation detection. The results showed that both MALBAC and PicoPLEX could yield high-quality data and had high reproducibility and fidelity; and as for uniformity, PicoPLEX was slightly superior to MALBAC.


2011 ◽  
Vol 12 (8) ◽  
pp. R80 ◽  
Author(s):  
Jiqiu Cheng ◽  
Evelyne Vanneste ◽  
Peter Konings ◽  
Thierry Voet ◽  
Joris R Vermeesch ◽  
...  

2014 ◽  
Vol 35 (7) ◽  
pp. 899-907 ◽  
Author(s):  
Renjie Tan ◽  
Yadong Wang ◽  
Sarah E. Kleinstein ◽  
Yongzhuang Liu ◽  
Xiaolin Zhu ◽  
...  

2016 ◽  
Vol 26 (3) ◽  
pp. 376-384 ◽  
Author(s):  
Kristin A. Knouse ◽  
Jie Wu ◽  
Angelika Amon

2012 ◽  
Vol 13 (1) ◽  
pp. 305 ◽  
Author(s):  
Jiantao Wu ◽  
Krzysztof R Grzeda ◽  
Chip Stewart ◽  
Fabian Grubert ◽  
Alexander E Urban ◽  
...  

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