KNIME^® the Konstanz Information Miner is a modular, extendable data exploration platform to visually create data pipelines. KNIME^® is based on the Java and the Eclipse platform and, through its modular API, easily extensible. When desired, custom nodes and types can be implemented in KNIME^® within hours thus extending KNIME^® to comprehend and provide first-tier support for highly domain-specific data. This modularity and extensibility permits KNIME^® to be employed in commercial production environments as well as teaching and research prototyping settings.

BioSolveIT is a supporter of KNIME^® and in the process of making its software-tools accessible to all users via KNIME^®. Note that these interfaces are distributed separately of KNIME^® and available free of charge. KNIME^® itself is distributed under open source license and can be used freely as long as the software or extensions built into it are not distributed for commercial gain (see details on the KNIME^® web-page).

	Requirements: —   KNIME® versions 2.0 and later have been tested and confirmed to with the packages on this page. —   only the most recent version of the respective software package is guaranteed to work with the KNIME® modules
	Supported operating systems: Windows and Linux

FTrees applications can easily be scripted and automated. With the release of the KNIME^® components for FTrees, integration with analysiy tools and workflows is now even simpler.

The FTrees-Interface consists of 3 components. The first main component FTrees Calculator appends a Feature Tree descriptor to molecules in the data-stream entering the node — the Feature Tree is added to the molecule as a new property.

The second main component FTrees Similarity compares the molecules in the pipeline to queries in a defined query file, and appends the similarity values to the molecules as new properties. The FTrees Similarity component can also be used to filter the molecules according to similarity.

The third component FTrees Reader allows you to load previously generated Feature Trees from file and use them as input in the data-stream

The KNIME^®-node for FTrees-FS has one input channel accepting either molecules of Feature Trees as queries for a Fragment Space search. The output channel contains the molecules produced as hits from these searches in the currently loaded space. The space as well as several parameters for the search can be conveniently influenced by the user.

Briefly the strategy is the following. You configure KNIME^® to Find and Install software from now on also at this URL:

Then you check for updates for both the BioSolveIT- and the KNIME^®-package. Restart KNIME^® and you are ready to go.

Alternatively you may use the following links and install the respective package in KNIME^® from your local drive:

operating system version download date size FlexIDGen licenses support independent 1.2.3 zip 21.05.2010 851.4 KB — — — — independent 1.2.3 jar 21.05.2010 851.5 KB — — — —