Author Archives: Jeff
Nathaniel B. Palmer time lapse
This time lapse video was recently forwarded to me, taken from the deck of the NSF research vessel Nathaniel B. Palmer during a cruise through the Ross Sea. It’s entertaining, and illustrates the wide diversity of sea ice that can … Continue reading
Land of Lakes
We just finished a crazy few days of sampling and I’m only now, back in Seattle, getting a moment to assimilate all of it. The Icy World team from JPL arrived late in the day on May 1, and we … Continue reading
Barrow or Bust!
I’ll be taking off for Barrow in just a few hours, the last field effort of my dissertation – and my last chance at collecting frost flowers! This will be my 6th trip up in the last four years, although … Continue reading
Greenland might not be green…
But you can grow flowers there. As readers of this blog know, one of the Deming Lab’s major research directions is the microbiology of the sea ice surface – frost flowers, saline snow, and related features. Since the sea ice … Continue reading
Comments now open
A while back I deactivated comments and registration due to excessive spam. After getting a great comment via email from a researcher at UCSF regarding the NCBI taxonomy parsing article (suggesting the use of Python primary keys to speed up … Continue reading
A little Europa here in Washington
I got an email the other day from a colleague who teaches science at Soap Lake High School, a rural high school in eastern Washington that, in my opinion, punches above its weight in the sciences. One of his students … Continue reading
Some things should be easy…
****************** Updated method posted here: https://www.polarmicrobes.org/?p=859 ****************** But they’re not. Getting meaningful taxonomy from blast results is one of those things. Here’s the situation: I ran a blastn search locally against the NCBI nt (nucleotide) database, saving the output in … Continue reading
Parsing blast xml output
In the previous post I described a method for efficiently blasting a medium-large dataset (33 million sequences). One down side to using blast on a dataset this size is the very large size of the output xml file, in this … Continue reading