NEW YORK (GenomeWeb) – A team of researchers at Boston University and the United States Army Medical Research Institute of Infectious Diseases have developed a model for the early detection of Ebola infection, demonstrating that Ebola virus disease (EVD) has a uniform and predictable response to infection, and that the expression of a subset of genes was more efficacious for helping them predict disease development than other host-based indications of infection such as fever.

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Researchers are refining a tool to predict a woman's risk of developing breast cancer, according to the Guardian.

According to Stat News, the partial government shutdown in the US could soon affect the ability of the Food and Drug Administration to review new drugs.

In PNAS this week: gypsy moth genome sequenced, phylogenomic analysis of Polyneopterans, and more.

CNN reports that people's genes tend to have a greater influence on their risk of developing disease than their environment, but it varies by phenotype.

Jan
30
Sponsored by
Loop Genomics

This webinar will provide a comparison of several next-generation sequencing (NGS) approaches — including short-read 16S, whole-genome sequencing (WGS), and synthetic long-read sequencing technology — for use in microbiome research studies.

Feb
26
Sponsored by
Advanced Cell Diagnostics

This webinar will demonstrate how a research team at the Firestone Institute for Respiratory Health at McMaster University developed a cellular and molecular phenotyping pipeline using archived samples of lung tissue derived from patients diagnosed with fibrotic interstitial lung disease.