Method to Detect CNV via Mated Short Reads
Medvedev, Fiume et al., Genome Research
Researchers at the University of Toronto describe a method to detect copy-number variation via mated short reads, wherein "matepairs mapping discordantly to the reference serve to indicate the presence of variation." CNVer — the team's algorithm — combines this information and allows researchers to "mitigate the sequencing biases that cause uneven local coverage and accurately predict CNVs." The team used CNVer on a recently described genome of a Yoruban individual and detected 4,879 CNVs. "CNVer can reconstruct the absolute copy counts of segments of the donor genome and evaluate the feasibility of using CNVer with low coverage datasets," the authors add.
Timeline of Events Leading to Tuschl IP Litigation
January 28, 2010
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Although the suit was first filed last summer, the courtroom showdown had been brewing for years.
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