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Discussing these articles

I'm late to the party. Just found another #amplicon #clustering approach - interesting, but already from 2014: "Swarm: robust and fast clustering method for amplicon-based studies" by Mahé et al.

@pjacock @torstenseemann Not blast exactly but we found it mattered for usearch when reference contained duplicate/similar sequence s

@larcilah @HideInamine @TigrerosNatasha @slaubrie @kdhecology @bolkerb Sounds good! Looks like implementation is easy (just add another random effect and use poisson family), and here's a recent paper talking about the usefulness and limitations of this approach:

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning - probably the way to go for #bioacoustic #monitoring

Observation Level Random Effects in Overdipsersed Binomial Mixed Models via @thePeerJ

@ejame16 Not completely environmental, but this one had a high wow factor: tpersonal microbial cloud. PeerJ3:e1258

African Elephant (Loxodonta africana) Populations Crash! Article: Journal:

CNN: 'Our living dinosaurs' There are far fewer African elephants than we thought, study shows

The Smithsonian: "You Produce a Microbial Cloud That Can Act Like an Invisible Fingerprint"

Software can decode bird songs

Interview with the first-named author

An ecosystem of our own making could pose a threat,0,811701.story#axzz2pIyvBcjH