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By combining mouse proteomic data with human transcriptomic data, a group led by Massachusetts Institute of Technology researchers has developed a computational method for predicting inflammatory bowel disease (IBD) patient responses to anti-tumor necrosis factor (anti-TNF) therapy. The method — called translatable components regression, or TransComp R — uses principal components analysis to link IBD patient pretreatment transcriptomic data to a model of disease-relevant mouse proteins.

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A survey by Nature finds that most researchers want scientific meetings to continue virtually or with a virtual component, even after the pandemic ends.

Bloomberg reports that the B.1.351 SARS-CoV-2 viral variant could prompt the formulation of better vaccines.

Certain blood proteins may be able to distinguish COVID-19 patients who will become critically ill from those who will not, the Atlanta Journal-Constitution reports.

In Genome Biology this week: algorithm to assess regulatory features, approach to integrate multiple single-cell RNA-seq datasets, and more.