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ASVNet: Inferring microbes from 16S rRNA amplicon sequencing data Amplicon sequencing of the variable regions of the 16S rRNA gene is one of the most common techniques in microbiome research. A crucial step in analysing this data is to cluster raw sequences into bio...

This looks like a tool that could be helping us with our #16SrRNA amplicons www.biorxiv.org/content/10.1...

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SILVA in 2026: a global core biodata resource for rRNA within the DSMZ digital diversity Abstract. Since 2007, the SILVA database (https://www.arb-silva.de/) has served as a comprehensive resource providing quality-checked, aligned, and classif

SILVA in 2026: a global core biodata resource for rRNA within the DSMZ digital diversity
#microbiology #16SrRNA #RNA
@leibniz-dsmz.bsky.social @narjournal.bsky.social @oxfordacademic.bsky.social
academic.oup.com/nar/advance-...

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Tired of PCR bias & chimeras in microbiome sequencing? Join our webinar with @zymoresearch.bsky.social to discover tips for full-length 16S rRNA prep, chimera reduction, and workflow scaling. Register now: hubs.ly/Q03st-vY0 #NGSWebinar #MicrobiomeScience #16SrRNA #iconPCR

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Attention Microbiome researchers! This one's for you!

Join us Thursday, July 24 at 11 AM PDT for a deep dive into the latest innovations in full-length 16S rRNA metagenomics with ‪@iconpcr.bsky.social‬

Register Now: www.zymoresearch.com/pages/advanc...

#Microbiome #16SrRNA #Metagenomics

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Spotted Fever Group rickettsiae are the Dominant Pathogens in Parasitic Rhipicephalus microplus in Yunpan and Menghun, Xishuangbanna, Yunnan Province, China - Zoonoses Journal Announcing a new article publication for Zoonoses journal.  Distribution of the bacterium flora in ticks has an essential role in mapping and preventing local tick-borne diseases. The purpose of this ...

#SpottedFever Group #rickettsiae are the Dominant Pathogens in #ParasiticRhipicephalusmicroplus in Yunpan and Menghun, Xishuangbanna, Yunnan Province, China.

Read More: tinyurl.com/mr2tnywc

#pathogenspectrum #16SrRNA #Zoonoses #Zoonotics #Zoonosis @scienceopen.bsky.social

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