ANN: JuliaBase -- LIMS for specimen-based research published as open source

[Torsten Bronger]

We are proud to announce that our in-house samples database solution
is now published as open source software (AGPL).  It is a
Python/Django-based framework for creating Web databases for
samples.  So far, it is used successfully by four in-house
departments.

For all the details and a demo, visit <http://www.juliabase.org>.

The highlights include:

- maximal flexibility for being adapted perfectly to your production and
  measurement setups, and to your workflows; (that's the reason why it is a
  programming framework rather than a turnkey application)
- keeps track of samples across sample splits
- support for pre-evaluating raw data and creating plots
- arbitrarily complex searches made easy, e.g. “find all samples with infrared
  measurements, deposited together with a sample on glass substrate with a
  conductivity greater than 10^-6 S/cm; oh yes, and only from this year and
  made by John”
- export to spreadsheets
- automatic lab notebooks
- server interaction with other programs through an HTTP/JSON interface

JuliaBase's sources include an "example institute" that programmers
can use as a starting point.

-- 
Torsten Bronger    Jabber ID: torsten.bronger at jabber.rwth-aachen.de
                                  or http://bronger-jmp.appspot.com