Discover and read the best of Twitter Threads about #modularity

Most recents (3)

On #InternationalWomensDay we'd like to pause and celebrate just a small slice of the enormous contributions to science women have made here at SFI.

Read the thread below for links to some of their own favorite research papers, and a few nominated by other SFI faculty members:
First off, these papers on #FoodWebs led by our VP for #Science, Jennifer Dunne:

[@royalsociety Proceedings B]
royalsocietypublishing.org/doi/10.1098/rs…

[@PLOSBiology]
doi.org/10.1371/journa…

...and this interview she did for @QuantaMagazine:
quantamagazine.org/with-food-webs…

#Ecology #Ecologist
Next, two papers on how humans navigate and process #information co-authored by SFI External Prof @DaniSBassett (@Penn):

[@NatureHumBehav]
nature.com/articles/s4156…
+ summary:
blog.seas.upenn.edu/studying-hunte…

[@nature]
nature.com/articles/s4156…
+ summary:
penntoday.upenn.edu/news/what-do-b…
Read 21 tweets
After 6 months of #lockdown and #lab shutdown I spent a full day 9 am-8 pm in lab doing experiments! New #grad students in #lifesciences: There is always light 💡 and #fluorescent images at the end of the tunnel! Filing a #patent on my #invention from #phd work soon @OrganOnAChip
This is an Organ on a Chip platform that enables mimicking #tissues and #organs in a high throughput manner! The main focus will be towards developing #mucosal organs with tissue resident #immune cells and lining #epithelial cells for #testing #COVID19 treatments #covidvaccines
I recently gave a talk at #oooc2020 organized by @GVNlab at @Columbia. In the talk I demonstrated the #ease of fabrication, #functionality, and #modularity of this platform.
We’re open to #collaborate with interested #researchers! Interested to learn more:
Read 11 tweets
So happy to see our paper “Coexistence of #Nestedness and #Modularity in Host-Pathogen Infection #Networks” published in @natecoevo. We uncovered hidden dimensions of infection networks, which challenges established views in #ecology.
nature.com/articles/s4155…
Our goal was to understand how the environment mediates in the pattern of host-pathogen interactions, i.e., nestedness and modularity. To do so, we gathered empirical data on plant-virus infection networks surveyed at different habitats in central Spain, from 2000 to 2002.
But standard analyses of bipartite networks reported ambiguous results, and could not explain structural dependence on seasonality and habitat differences. Looking at networks is helpful, but nearly not enough to fully grasp the complexity of natural infections.
Read 13 tweets

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