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I would like to phase whole-genome datasets, some of which are single-end read datasets and some of which are paired-end datasets. Does anyone have experience with this? Should I simply generate a list of SNPs and feed it to existing phasing algorithms? Is there software that can take the raw read data into account (IE SNPs that appear on the same read)?
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The recent pandemic caused worldwide health, economic, and social disruptions with its reverberations still felt today. A key takeaway from this event is the need for accurate and accessible tools for detecting and tracking infectious diseases. Timely identification is essential for early intervention, managing outbreaks, and preventing their spread. This article reviews several valuable tools employed in the detection and surveillance of infectious diseases.
...11-27-2023, 01:15 PM -
Microbiome research has led to the discovery of important connections to human and environmental health. Sequencing has become a core investigational tool in microbiome research, a subject that we covered during a recent webinar. Our expert speakers shared a number of advancements including improved experimental workflows, research involving transmission dynamics, and invaluable analysis resources. This article recaps their informative presentations, offering insights...11-09-2023, 07:02 AM
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