NEW YORK (GenomeWeb) – A team from the College of William & Mary has described a novel computational method for gene expression microarray data analysis they believe could help identify more differentially expressed genes in studies with small sample sizes, or with too small a ratio of samples to gene targets.

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Researchers hope to tease out the signature effects that different carcinogens leave on the genome to determine their contributions to disease, Mosaic reports.

The Wall Street Journal looks into the cost of new gene therapies.

An Imperial College London-led team reports that it was able to use a gene drive to control a population of lab mosquitos.

In PNAS this week: genomic effects of silver fox domestication, limited effect of mitochondrial mutations on aging in fruit flies, and more.

Oct
17
Sponsored by
Lexogen

This webinar will present a method for RNA-seq expression analysis of FFPE-derived RNA samples that are too degraded for successful application of standard RNA-seq techniques.

Oct
25
Sponsored by
Roche

This webinar will detail a comprehensive strategy that a lab has put in place to evaluate  NGS oncology assays for genomic tumor profiling of plasma and tissue samples.