2. For those who don't know, is:
● A data integration system
● An optimising data warehouse
● A set of web-services
● A collection of graphical data exploration and
analysis tools
● Dedicated to putting bio-informatics tools in
the hands of biologists.
5. In overview:
Web Application
Embedded
Web
Widgets
Services
Scripts
6. Easy as one, two, three...
● Write some XML
● Load data
● Release to the world with
– a graphical data-mining system
– a fully capable set of web-services
12. If we can do it, so can you!
● Client libraries in perl, python, ruby, java, and
javascript
● We eat our own dog food
– web application built on javascript library
– In house tools in perl and python
● Code generation to get you started
16. Gos Micklem (PI)
Daniela Butano
Adrian Carr
Sergio Contrino
Hu Fengyuan
Mike Lyne
Rachel Lyne
Alex Kalderimis
Radek Štěpán
Julie Sullivan
dev@intermine.org http://www.intermine.org
alex@intermine.org
17. Gos Micklem (PI)
Daniela Butano
Adrian Carr
Sergio Contrino
Hu Fengyuan
Mike Lyne
Rachel Lyne
Alex Kalderimis
Radek Štěpán
Julie Sullivan
dev@intermine.org http://www.intermine.org
alex@intermine.org https://github.com/intermine
Notas del editor
Good to follow Dave - similar themes: - benefits of exploration (constructive feedback) - Client side work - Centralised resources and open-source software - read-the-docs - api
In the past week we have have had help requests from: * France * India * Austria * Canada * USA
In browser demo
In browser demo
Go through browser demos In browser console demo here...
Dave time, effort, and money Access to a treasure trove of data: High quality curated data-sets freely available Messy data → Clean data Common currency: One API for multiple organisms/communities Introspectable data-model and queries → build once for multiple domains True query freedom - join multiple data sets, select any columns, any constraints, any sort-order LGPL, open standards, postgres, json, xml, ...
LGPL, open standards, postgres, json, xml, ...
Keeping the best parts of our interface Building a system out of composable parts Designing a powerful data exploration system Future users will still have a powerful system out of the box, but also have access to a common space where different parts can be put together.