MicrobiomeDB

MicrobiomeDB is a free #datamining and #dataviz web resource and R package for interrogating #microbiome and #metagenomic studies. A project from @hostmicrobe.

[MicrobiomeDB @microbiomeDB]

Check out the new R package for accessing https://t.co/2mFLvMBNuM data and analytic tools!

[Daniel Beiting @hostmicrobe]

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

[Daniel Beiting @hostmicrobe]

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

[Daniel Beiting @hostmicrobe]

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

[MicrobiomeDB @microbiomeDB]

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.

[MicrobiomeDB @microbiomeDB]

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!

[ClinEpiDB @ClinEpiDB]

📢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!
https://t.co/uNpuWoL058

[MicrobiomeDB @microbiomeDB]

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!

[Daniel Beiting @hostmicrobe]

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!

[ClinEpiDB @ClinEpiDB]

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.

[MicrobiomeDB @microbiomeDB]

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.

[Daniel Beiting @hostmicrobe]

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.

https://t.co/Awze5jbZ6F

[ClinEpiDB @ClinEpiDB]

Reminder, it's not too late to register for Clair Null's presentation on #WASH benefits which starts in one hour! https://t.co/A1nt52k4oi

[Daniel Beiting @hostmicrobe]

@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!

https://t.co/KsPJBHXGoz

[ClinEpiDB @ClinEpiDB]

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! https://t.co/TEYMMPsZFq

[ClinEpiDB @ClinEpiDB]

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- https://t.co/zI9B7dyS2v

[MicrobiomeDB @microbiomeDB]

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.
https://t.co/6YubkUKXI3

[MicrobiomeDB @microbiomeDB]

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

[MicrobiomeDB @microbiomeDB]

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!

[MicrobiomeDB @microbiomeDB]

Maintenance is done and we’re back online!