#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.
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.
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#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.
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.
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: docs.quiltdata.com/
💯 we already have terabytes of open bio data on open.quiltdata.com/.
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.
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 > buff.ly/3IdnLxx#datamanagement#datascience
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.
blog.quiltdata.com/from-zero…
Learn how to use Quilt, #Git, and #Docker to build a deep neural network for object detection with Detectron2, powered by #PyTorch for object detection.
Learn how here > buff.ly/3e2qXyq
Life Science organizations running genomics workloads require more performance.
Learn how to reduce costs by up to 70% so that you can worry less and focus on scientific insights. Check out the article below by Ethan Simmons from PTP.
buff.ly/334ZwDx
Triumph over growing cloud data in 2022. The Data Platform Survival Guide teaches you how to improve data quality, prepare for IPO, and speed discoveries to market with confidence.
buff.ly/3rBVo5U#ebook#S3#lifecycle
The open source quilt3 Python client enables you to create versioned data sets with one line of code. Quilt packages automatically make data findable, accessible, interoperable, and reusable—all with open file formats in buckets that you own.
Learn more buff.ly/3yJmcEN.
Connect large instrument files (FASTQ, BAM, VCF) to notebooks like Benchling with a simple URL. Quilt creates versioned URLs for large datasets in your S3 buckets. #ELN#LIMS#NGS#CRISPR
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Learn more buff.ly/3or0mST