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NEW YORK (GenomeWeb) – Genetic and molecular patterns of breast tumors can predict whether a patient's disease is likely to recur following treatment, according to a new study.

Researchers from the UK and US have developed a statistical tool to predict if and when certain breast cancer subtypes are likely to recur. The researchers previously reported that based on copy number and gene expression profiles, there are 11 different subtypes of breast cancer, dubbed IntClust.

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The former commissioner of the FDA has returned to the venture capital firm New Enterprise Associates as a special partner on the healthcare investment team.

Astronauts have edited yeast genes on the International Space Station in an experiment designed to show how cells repair themselves in space.

Emory University has found that two of its researchers failed to divulge they had received funds from China, according to the Atlanta Journal-Constitution.

In Science this week: influence of the nuclear genome on human mitochondrial DNA, and more.

Jun
13
Sponsored by
Roche

Ribosomal ribonucleic acid (rRNA) accounts for up to 99 percent of the total RNA depending on the cell type. 

Jun
17
Sponsored by
Illumina

This webinar will provide an overview of polygenic risk scores, which aggregate dozens of genetic variants that have been linked to disease risk in genome-wide association studies (GWAS) into a single score.

Jun
26
Sponsored by
Lexogen

This webinar will outline a study that combined genome-wide and classical molecular approaches to demonstrate that translation strongly affects mRNA stability in a codon-dependent manner, ultimately influencing mRNA and protein levels in higher organisms.