Reposted by @benjjneb.bsky.socialCasey Theriot @theriotmicrobe.bsky.social · 18/07/2025Join us in Banff, CAN January 19-22 for the Keystone meeting on Microbiome Metabolism and Metabolites! Early scholarship deadline is September 23! 132
Reposted by @benjjneb.bsky.socialNoah Fierer @noahfierer.bsky.social · 21/06/2025Hope this is useful - consensus statement "Guidelines for preventing and reporting contamination in low-biomass microbiome studies" rdcu.be/er3Iordcu.beGuidelines for preventing and reporting contamination in low-biomass microbiome studiesNature Microbiology - In this Consensus Statement, the authors outline strategies for processing, analysing and interpreting low-biomass microbiome samples, and provide recommendations to minimize... 210648
Reposted by @benjjneb.bsky.socialMichael Baym @baym.lol · 14/05/2025Yesterday, the NIH R35 “Outstanding Investigator” grant to fund scientists in my lab studying antibiotic resistance was terminated for reasons not related to the content of the science, or any actions taken by me or members of my lab 145875575
Reposted by @benjjneb.bsky.socialErin Baker @erinbakerims.bsky.social · 07/03/2025I had the opportunity to give my perspective to The Analytical Scientist about recent events. With this article, I hope to give a voice to others who may not have the ability to speak out. #StandUpForScience theanalyticalscientist.com/business-edu...theanalyticalscientist.comA Bleak Future?Recent layoffs and funding cuts have not only crippled morale among scientists, they’ve also set an alarming precedent for the future of science 17430
Reposted by @benjjneb.bsky.socialNature Microbiology @natmicrobiol.nature.com · 21/02/2025A must-read for any microbiome researcher 🦠📐and a new addition to our #bestpractices series Planning and describing a microbiome data analysis by @amydwillis.bsky.social and @davidandacat.bsky.social www.nature.com/articles/s41...nature.comPlanning and describing a microbiome data analysis - Nature MicrobiologyWe provide guidance on the planning, execution and description of statistical analyses in microbiome studies. 15826
Reposted by @benjjneb.bsky.socialAmy D Willis @amydwillis.bsky.social · 19/02/2025I am restarting the StatDivLab blog! Goal is rigorous but accessible statistics for microbiome science. Here's the new scope & welcome: 😽✉️📝 statdivlab.github.io/blog/index.h... PS. I see you, friends. What a disaster. Please keep resisting, and encourage those around you to do the same.statdivlab.github.ioStatDivLab BlogThis is a way to host a blog for the Statistical Diversity Lab. 0245
Reposted by @benjjneb.bsky.socialQIIME 2 @qiime2.org · 12/12/2024This announcement is a little late (we're just starting to use bluesky), but #QIIME 2 2024.10 was release this October! Lots of exciting new features with many more still on the way! forum.qiime2.org/t/qiime-2-20... #microbiome #bioinformatics #microbiomeskyforum.qiime2.orgQIIME 2 2024.10 is now available!The QIIME 2 2024.10 release is now available! Thanks to everyone involved for their hard work! 🙌🏼 🎉 As a reminder, our next planned QIIME 2 release is scheduled for April 2025 (QIIME 2 2025.4), but p... 094
Reposted by @benjjneb.bsky.socialManuel Kleiner @manuelkleiner.bsky.social · 13/12/2024Assessing dietary intake of humans and animals is important to understand interactions in the gut, be it host-microbiota interactions or drug-microbiota-host interactions. We showed that #metaproteomics can serve as a tool for dietary assessment in stool samples. pubs.rsc.org/en/content/a...pubs.rsc.orgA pilot study of metaproteomics and DNA metabarcoding as tools to assess dietary intake in humansObjective biomarkers of food intake are a sought-after goal in nutrition research. Most biomarker development to date has focused on metabolites detected in blood, urine, skin, or hair, but detection ... 271
benjjneb.bsky.social @benjjneb.bsky.social · 15/11/2024Updated references for taxonomic assignment in the DADA2 R package are now available: Silva v138.2, RDP v19 and Greengenes2 2024.09. benjjneb.github.io/dada2/traini...benjjneb.github.ioTaxonomic reference data 010
