I'm using a small data set to test Velvet-Oases of about a million (av. length 200bp) reads. Pretty soon we're going to get a much larger data set, but the memory requirements for the much smaller assembly is crazy.
When I turn on read-tracking to run Oases with 15G of memory it will max out and kill at about 60-70% nodes visited. How would this ever work with 10-100 million reads if the largest-memory instance I can create has about 70G of memory?
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The COVID-19 pandemic highlighted the need for proactive pathogen surveillance systems. As ongoing threats like avian influenza and newly emerging infections continue to pose risks, researchers are working to improve how quickly and accurately pathogens can be identified and tracked. In a recent SEQanswers webinar, two experts discussed how next-generation sequencing (NGS) and machine learning are shaping efforts to monitor viral variation and trace the origins of infectious...03-24-2025, 11:48 AM -
This year’s Advances in Genome Biology and Technology (AGBT) General Meeting commemorated the 25th anniversary of the event at its original venue on Marco Island, Florida. While this year’s event didn’t include high-profile musical performances, the industry announcements and cutting-edge research still drew the attention of leading scientists.
The Headliner
The biggest announcement was Roche stepping back into the sequencing platform market. In the years since...03-03-2025, 01:39 PM