MicrobiomeDB

Check out the new R package for accessing MicrobiomeDB.org data and analytic tools!

Excited to announce the beta release of our new MicrobiomeDB R package! This package is intended to be companion to our @microbiomeDB website and provides convenient, programmatic access to all of our curated 16S and shotgun metagenomic datasets. #microbiome #rstats #dataviz

Haven't posted here in a while, but lots of exciting things happening with our @microbiomeDB project! Release 34 rolled out the door last week and debuts a new differential abundance app. Check it out with your own data, or any of our curated datasets! #dataviz

We are aware of and are working to address an issue that results in our system emails being rejected by users’ gmail accounts. Stay tuned.

Release 27 is live! 🎉, featuring new shotgun metagenomic data from over 1000 samples collected as part of ongoing studies in Niger and Malaysia. Check it out!

📢Join us for a free virtual workshop to learn how to use epidemiological data on ClinEpiDB (a new and improved version✨) and related @microbiomeDB data. Register today! forms.gle/f1Fppc85go8yAK…

MicrobiomeDB ✨v23✨ is now live and includes new metagenomic data from over 1200 stool samples, as well as our first mosquito #microbiome study. Check it out!

Exciting release for our @microbiomeDB resource! Includes shotgun metagenomic data from @hmpdacc Phase I (741 samples from 103 volunteers) and @BanfieldLab's huge #NICU necrotizing enterocolitis study (1118 samples from 115 infants). Check it out!

We are pleased to announce the release of ✨ClinEpiDB 17! ✨New features include a Data Access Dashboard that allows study teams to easily control who gets to access their data on our platform.

We are excited to announce the release of MicrobiomeDB 22, featuring new shotgun metagenomic data from nearly 2000 samples! In addition, this release includes numerous improvements to our #Shiny apps.

If you missed our @microbiomeDB webinar with @NIAIDBioIT today, don't sweat it! You can watch the recording. Learn how to process and analyze 16S #microbiome data in your web browser. vimeo.com/546055765

Reminder, it's not too late to register for Clair Null's presentation on #WASH benefits which starts in one hour! register.gotowebinar.com/register/53662…

@microbiomDB is teaming up with @NIAIDBioIT to host a free 1hr webinar on web-based tools for #microbiome data analysis. Learn to go from raw reads to data visualizations without any coding. Don't think it's possible? Register below and tune in to see! bit.ly/microbio-online

On April 20, one week from today, we kick off our webinar series with a presentation from Dr. Samuel Gonahasa on #malaria in Uganda. Register here! register.gotowebinar.com/register/53662…

From a new paper by @moorejh and team at UPenn: “Embedding AutoML tools within epidemiology platforms like ClinEpiDB would empower users to directly perform sophisticated analyses...” #malaria #epitwitter Read the paper here- ssph-journal.org/articles/10.33…

Finally, thrilled to announce a new collab with @NIAIDBioIT that allows you to analyze raw 16S #microbiome data on their site and push results to a private workspace on @microbiomeDB. Read more about this below, and stay tuned for a joint webinar. bit.ly/31oM74K

Also available is unpublished data from @pauljplanet's lab on the ecology of #cysticfibrosis ('Eco-CF'). Includes 16S #microbiome data from over 800 oral/respiratory samples from 169 pediatric CF patients. Thanks to @DorisDukeFdn's Data Sharing Award for making this possible!

Release 21 is live and includes new features and data! 🧵below on the details of this release.

Maintenance is done and we’re back online!