NEW YORK (GenomeWeb News) – By combining two pre-assembly filtering approaches, researchers led by Michigan State University's Titus Brown were able to turn complex metagenomic datasets, including data from two soil samples, into ones that are comparably friendlier to assemble and use.

As they reported in an early edition Proceedings of the National Academy of Sciences paper to be published this week, the researchers combined both digital normalization and partitioning to process metagenomic sequencing samples before assembling them.

To read the full story....

Register for Free.

Already have a GenomeWeb or 360Dx account?
Login Now.

An opinion piece in the Guardian argues that President Donald Trump is uninterested in science and that might not be a bad thing for the field.

The San Francisco Chronicle reports the Veterans Affairs Health System is studying whether genetic testing can help prescribe better depression therapies.

Stat News reports that Spark Therapeutics' Luxturna is now being used to treat a wider array of patients.

In Genome Biology this week: transcription factor use among brittle stars, single-cell RNA sequencing strategy, and more.

Sponsored by
Thermo Fisher Scientific

In this webinar, the first in the “New Frontiers in Liquid Biopsy Research” series, Bea Bellosillo, head of pathology at the Hospital del Mar, will discuss her experience evaluating an early-access lung cancer panel that detects copy number variants and fusions.