New SciDB AMI for Bioinformatics—Big Bioinformatics Made Easier

The turnkey solution for life science researchers.

Run complex queries on preloaded TCGA and 1000 Genomes data from R and Python

…get up and running in the cloud in minutes.

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This is like a productivity revolution

What used to take two days, now happens in two minutes.

  • Search ~20 Billion signals
  • Find ~100 specific events
  • Within ~100 million observed events
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SciDB helps data scientists, bioinformatics and clinical informatics researchers, quants, and analysts in a variety of industries. Got data management and analytics challenges?

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Hard Questions. Fast Answers. Open Source.

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Upcoming Webinar

Big bioinformatics without big hassles:
See the power of SciDB, R-Studio, and Shiny
Nov 20, 2014 1:00 PM EST

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Interactive Multi-Dimensional Data Exploration

Multi-dimensional arrays are a natural fit for Big—and Diverse—Data. Auto-indexed and auto-clustered storage enables fast range selections, joins and aggregates.

 

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Do it Once; Do it right

Load and curate your data once for all your users. Gone are errors from forked files, replicated work, and “eventual consistency.” SciDB is a true ACID DBMS. Get repeatable, accurate results across multiple users with SciDB.

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Massive Scalability

SciDB’s massively parallel processing architecture supports petabyte-scale data management, fast parallel queries and parallel linear algebra.

 

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Programmable from R & Python

Use analyst-friendly languages and break the “in-memory” barrier.  Program in R or Python while leveraging SciDB’s all-in-one data management and scalable analytics.

 

The minute you want to do complex analytics, and you want to do it at scale, and you want to mix and match data exploration and analysis, that’s what we are good at.

 

MIT Professor Mike Stonebraker

Co-Founder, CTO, and Parallel Entrepreneur, Paradigm4


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