LAILAPS – Search Engine for Life Science data

LAILAPS

:: DESCRIPTION

LAILAPS combines a keyword driven search engine for an integrative access to life science databases, machine learning for a content driven relevance ranking, recommender systems for suggestion of related data records and query refinements with a user feedback tracking system for an self learning relevance training

::DEVELOPER

Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux/  MacOSX
  • Java

:: DOWNLOAD

 LAILAPS

:: MORE INFORMATION

Citation

M. Lange et al.
The LAILAPS Search Engine: Relevance Ranking in Life Science Databases
Journal of Integrative Bioinformatics. 7(2), 2010:

Molgenis 9.1.0 – Generate Databases for Life Science Experiments

Molgenis 9.1.0

:: DESCRIPTION

MOLGENIS ( MOLecular GENetics Information Systems) is an collaborative open source project on a mission to generate great software infrastructure for life science research. Each app in the MOLGENIS family comes with rich data management interface and plug-in integration of analysis tools in R, Java and web services. The MOLGENIS platform allows you to automatically generate rich database software to your specifications, including web user interfaces to manage and query your data, various database back ends to store your data, and programmatic interfaces to the R language and web services. You tell MOLGENIS what to generate using an data model and user interface model described in XML; at the push of a button MOLGENIS translates this model into SQL, Java and R program files. Also documentation is generated. While the standard generated MOLGENIS is sufficient for most data management needs, MOLGENIS also allows you to plug in handwritten software components that build on the auto-generated software platform.

::DEVELOPER

Molgenis team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 Molgenis 

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2010 Dec 21;11 Suppl 12:S12.
The MOLGENIS toolkit: rapid prototyping of biosoftware at the push of a button.
Swertz MA, Dijkstra M, Adamusiak T, van der Velde JK, Kanterakis A, Roos ET, Lops J, Thorisson GA, Arends D, Byelas G, Muilu J, Brookes AJ, de Brock EO, Jansen RC, Parkinson H.