Quilt Data

Quilt is a self-organizing data hub. Get models and discoveries to market faster by unlocking collaboration across developers and non-developers.

[Quilt Data @quiltdata]

#FAIR data was a hot topic @bioitworld in Boston. But FAIR is a destination, not a map. The Quilt platform is a means to make FAIR data practical, actionable, and real.

[PTP @PTPCloud]

Still time to join PTP, @quiltdata, @awscloud at the #AWS StartUp Loft San Francisco for a deep dive on Connected Labs.

Happy Hour following the event at Barcha Restaurant, 28 Fremont Street

https://t.co/BC2GRDSYL6

#lifesciences @AWS_Partners

[Quilt Data @quiltdata]

There's a bit of collaborative and technical magic brewing in booth 947 at #AWS #reInvent.

[Quilt Data @quiltdata]

@ypotier @schwessinger @OmicsOmicsBlog So we created Quilt to fill in those gaps. Bioinformatics teams rarely think about data version control apart from source control—but when you do it makes compliance and reporting much easier.

Your data are only as good as the number of people that can act upon them.

[Quilt Data @quiltdata]

@ypotier @schwessinger @OmicsOmicsBlog Key requirements for bio data:

* Compliance ready
* Scientist-friendly
* API-accessible
* Integrated with private cloud (as opposed to another storage silo)

S3 does some of this but lacks time travel, metadata, collection-level version control, and business-user-friendliness.

[Quilt Data @quiltdata]

@patrickmineault We've solved these hub-level problems in the open source. So S3 is to Quilt as git is to GitHub.

https://t.co/mnxJ599ZxF

[Quilt Data @quiltdata]

@patrickmineault S3 is already git for data (object versioning, hashes, data already there). It's missing a few things:
* Support for versioned collections and time travel
* Metadata and schemas for collections
* Visual browser (esp for business users)
* Data quality lifecycle ("branches")

[Quilt Data @quiltdata]

@me_beber @patrickmineault @luispedrocoelho You can run `quilt3 catalog` with the open source CLI to get a feel for the full stack https://t.co/6JNUw16Xtk

[Nextflow @nextflowio]

We're also very pleased to have Aneesh Karve (@akarve) from @quiltdata as a #NextflowSummit speaker! Aneesh will talk about "Nextflow + Quilt: Label, Query and Visualize Pipeline data" 👇 https://t.co/APKMIUCXEa

[Quilt Data @quiltdata]

Correction: we're meeting at 6PM. Finish work, party on, and see you there.

[Quilt Data @quiltdata]

Join us for fun, food, and best practices on scientific data management, from discovery to clinical and beyond. Lab automation creates the need to capture, organize, and reuse datasets across wet science and dry science. We'll show you how.

Sign up here https://t.co/mTpvIn5z2S

[Zareh “Z” Zurabyan @ZBiotechGuy]

Had a great time working on this article and giving input on what labs can do to prepare themselves for a successful digital transformation journey!

#Biotech #LabAutomation #ELN #MachineLearning #ELN #LIMS

@TetraScience @quiltdata @clustermarket

[Quilt Data @quiltdata]

Special shout out to our partners @PTPCloud for hosting the soiree. We'll see you all next year.

[Quilt Data @quiltdata]

#FAIR data was a hot topic @bioitworld in Boston. But FAIR is a destination, not a map. The Quilt platform is a means to make FAIR data practical, actionable, and real.

[Quilt Data @quiltdata]

Warm thanks to the customers, friends, and guests who visited our booth and filled our soiree with brilliant conversation. It's a pleasure to work and learn with all of you in #biopharma.

[Quilt Data @quiltdata]

@bhadrasandeep @nikillinit @akarve And now you can write stable pipelines against fast-moving buckets and datasets because your pipeline interacts with an immutable, logical view, and not fast-moving files.

You can do all of this with the open source quilt3: https://t.co/a5yNkXLO8E

[Quilt Data @quiltdata]

@bhadrasandeep @nikillinit @akarve 💯 we already have terabytes of open bio data on https://t.co/GMY7FroK6i.

What else would you like to see?

The idea of a "quilt" is to stitch as many data sources as you want into a logical view without copying = infinite integrated datasets.

[Quilt Data @quiltdata]

@bhadrasandeep @nikillinit @akarve And now you can write stable pipelines against fast-moving buckets and datasets because your pipeline interacts with an immutable, logical view, and not fast-moving files.

You can do all of this with the open source quilt3: https://t.co/a5yNkXLO8E

[Quilt Data @quiltdata]

@bhadrasandeep @nikillinit @akarve 💯 we already have terabytes of open bio data on https://t.co/GMY7FroK6i.

What else would you like to see?

The idea of a "quilt" is to stitch as many data sources as you want into a logical view without copying = infinite integrated datasets.

[Quilt Data @quiltdata]

quilt3 integrates data, metadata, charts, & docs into reusable datasets called packages. The open-source quilt3 catalog allows you to browse files and datasets in your S3 buckets. Learn more > https://t.co/x9h2XZMJIg

#datamanagement #datascience

[Quilt Data @quiltdata]

Get bench science & informatics on the same page, looking at the same data in Amazon #S3—all while maintaining usability & convenience.

New webinar for growing life science teams with Jim Davis from #AWS, @akarve from Quilt, @ajeskey from @PTPCloud.

https://t.co/fWkO3RFTc2