scholarly journals Genome-wide copy number analysis of single cells

2012 ◽  
Vol 7 (6) ◽  
pp. 1024-1041 ◽  
Author(s):  
Timour Baslan ◽  
Jude Kendall ◽  
Linda Rodgers ◽  
Hilary Cox ◽  
Mike Riggs ◽  
...  
2016 ◽  
Vol 11 (3) ◽  
pp. 616-616 ◽  
Author(s):  
Timour Baslan ◽  
Jude Kendall ◽  
Linda Rodgers ◽  
Hilary Cox ◽  
Mike Riggs ◽  
...  

2019 ◽  
Author(s):  
Masoud Zamani Esteki ◽  
Amin Ardeshirdavani ◽  
Daniel Alcaide ◽  
Heleen Masset ◽  
Jia Ding ◽  
...  

Haplotyping is imperative for comprehensive analysis of genomes, imputation of genetic variants and interpretation of error-prone single-cell genomic data. Here we present a novel sequencing-based approach for whole-genome SNP typing of single cells, and determine genome-wide haplotypes, the copy number of those haplotypes as well as the parental and segregational origin of chromosomal aberrations from sequencing- and array-based SNP landscapes of single cells. The analytical workflow is made available as an interactive web application HiVA (https://hiva.esat.kuleuven.be).


2012 ◽  
Author(s):  
Rinnat M. Porat ◽  
Ivan Pasic ◽  
Adan Shlien ◽  
Nalan Gokgoz ◽  
Irene Andrulis ◽  
...  

2019 ◽  
Vol 47 (19) ◽  
pp. e122-e122
Author(s):  
Ramya Viswanathan ◽  
Elsie Cheruba ◽  
Lih Feng Cheow

Abstract Genome-wide profiling of copy number alterations and DNA methylation in single cells could enable detailed investigation into the genomic and epigenomic heterogeneity of complex cell populations. However, current methods to do this require complex sample processing and cleanup steps, lack consistency, or are biased in their genomic representation. Here, we describe a novel single-tube enzymatic method, DNA Analysis by Restriction Enzyme (DARE), to perform deterministic whole genome amplification while preserving DNA methylation information. This method was evaluated on low amounts of DNA and single cells, and provides accurate copy number aberration calling and representative DNA methylation measurement across the whole genome. Single-cell DARE is an attractive and scalable approach for concurrent genomic and epigenomic characterization of cells in a heterogeneous population.


2013 ◽  
Vol 41 (6) ◽  
pp. e66-e66 ◽  
Author(s):  
Niels Van der Aa ◽  
Jiqiu Cheng ◽  
Ligia Mateiu ◽  
Masoud Zamani Esteki ◽  
Parveen Kumar ◽  
...  

2005 ◽  
Vol 85 (9) ◽  
pp. 1118-1129 ◽  
Author(s):  
Hideaki Tanami ◽  
Hitoshi Tsuda ◽  
Satoshi Okabe ◽  
Takehisa Iwai ◽  
Kenichi Sugihara ◽  
...  

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