First Arabidopsis Information Portal developer workshop a success

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Published on: December 4, 2014

The Arabidopsis Information Portal (AIP) was funded in 2013 by NSF, and co-funded this year by BBSRC. The UK team is led by Gos Micklem at the University of Cambridge. AIP provides the Arabidopsis thaliana Col-0 reference genome sequence with associated annotation, including gene structure, gene expression, protein function, and interaction networks. It is much more than this however: an open-access online community resource for Arabidopsis research. AIP is intended to be full of resources and tools to navigating the genome, all built by community developers as part of their own research and shared with the rest of the community via AIP. 

Here Makeda Easter blogs about the first AIP developer workshop, which was hosted by TACC, JCVI, and the University of Cambridge. This post was originally published on the news pages at the Texas Advanced Computing Centre

 

AIP dev workshop 1000

Last month, a group of 20 plant scientists from the U.S. and Europe convened at the Texas Advanced Computing Center (TACC) in Austin to participate in the Arabidopsis Information Portal (AIP) Developer Workshop.

“Our key goal with this workshop was to onboard a group of developers with varying degrees of experience with web technologies to contribute web apps and APIs to our platform,” said TACC Life Sciences Computing Director Matthew Vaughn, co-PI of the project. “With the growing number and diversity of data types available for Arabidopsis, effective developer engagement is crucial to making it all available in a single place. No one group can do it all.

The Arabidopsis Information Portal is an open-access, community extensible, online resource for Arabidopsis research. AIP is an international effort from collaborators TACC, J. Craig Venter Institute (JCVI), and Cambridge University and is powered by cutting edge technologies such as InterMine, Jbrowse, Drupal, and the iPlant Agave API.

The portal not only provides users access to genomic information, but it also allows researchers to contribute their own data through developing scientific applications.

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