Creating an in-house ’omics data portal using EBI Atlas software - Open Source Software in Life Science Research - page 229

having to implement patch releases and maintain in-house code and
hardware infrastructure. If the system scales and has good security it is
hard to argue that this would not be a boon for both companies and
academic institutions. One common gripe of hosted solutions is the lack
of direct control; for example what if you wanted to run your own
algorithms on the data sets? A solution to this complaint is to build an
easy to use yet comprehensive enough API to allow bioinformaticians
and biostatisticians access to the data sets and annotations so that they
can run these algorithms on the data sets in the cloud. We think that such
a hosted solution is not only possible but is coming in the not-too-distant
future.

9.6 Acknowledgments

The authors would like to thank the members of the Atlas Development
team, namely: Tomasz Adamusiak, Tony Burdett, Aedin Culhane, Anna
Farne, Alexey Filippov, Ele Holloway, Andrey Klebanov, Nataliya
Kryvych, Natalja Kurbatova, Pavel Kurnosov, James Malone, Olga
Melnichuk, Robert Petryszak, Nikolay Pultsin, Gabriella Rustici, Andrew
Tikhonov, Ravensara S. Travillian, Eleanor Williams, Andrey Zorin,
Helen Parkinson and Alvis Brazma. The authors would also like to thank
Ami Engineer Khandeshi, Rajesh Molakaseema and Hugo Berube for
their invaluable support of the Pfi zer implementation. Thanks also to Lee
Harland for critical review of the manuscript and helpful suggestions.

9.7 References

￿ ￿ ￿ ￿ ￿

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