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NEW YORK (GenomeWeb) – Biomarkers predicting cancer drug response can be uncovered from omics data of patient samples as well as cell lines, according to a new study.

Investigators have previously had mixed results when trying to use cancer cell line profiling to test the function and therapeutic relevance of molecular alterations uncovered in tumor samples. According to a trio of University of California, San Francisco, researchers this, is in part due to differences between cell lines and the tumors they represent.

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Newsweek discusses the privacy issues raised by digital medicine.

A group of statisticians wants to eliminate researchers' reliance on 'statistical significance,' according to NPR.

In Nature this week: genetic analysis of Anatolian farmers, cotton genome analysis, and more.

Matt Hancock, the UK health secretary, is calling for the swift rollout of predictive genetic tests, the Guardian reports.

Mar
27
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Swift Biosciences

Sequencing workflows require library quantification and normalization to ensure data quality and reduce cost. 

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Sophia Genetics

This webinar will present the utility of a personalized in silico analytical approach for the routine clinical diagnosis of channelopathies and cardiomyopathies. 

Apr
11
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Bionano Genomics

This webinar will review a recent study that applied whole-genome sequencing and optical genome mapping to identify a large number of previously undetected somatic structural variants in leukemia samples.

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Sponsored by
Isoplexis

This webinar will provide an overview of current biomarker strategies for guiding the use of combination checkpoint immunotherapies in blood cancers.