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By Andrea Anderson

NEW YORK (GenomeWeb News) – In a paper appearing online last night in the Proceedings of the National Academy of Sciences, a team of researchers from Vanderbilt University described their method for decreasing the risk of individual re-identification when using data from electronic medical records in genome-wide association studies.

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Researchers from Northwestern University examined dust for antibiotic-resistance genes, New Scientist reports. 

In Science this week: researchers present a computational method for predicting cellular differentiation state from single-cell RNA sequencing data, and more. 

Feb
20
Sponsored by
Thermo Fisher Scientific

This webinar will discuss the use of 3’ mRNA sequencing to reduce the cost of gene expression studies on Illumina NGS systems.