KNIME on Mac OS X?
19 June, 2009 - 20:25 — NicolasRunning KNIME on Mac OS X has always been a widely discussed topic (http://www.knime.org/node/156).
With the new upcoming release 3.5 of eclipse and the current java version 1.6, most of the issues regarding the SWT-AWT compatibility and drag & drop behaviour with KNIME on Mac OS X have been solved. The attached screenshot shows a working workflow with NodeDialogs, NodeViews and Hiliting in KNIME. We will likely need to wait until the official release of Eclipse 3.5 in order to turn this into a fully working KNIME-on-Mac but things are looking good so far!
KNIME 2.0.3 released
28 May, 2009 - 16:05 — knime_adminKNIME 2.0.3 has been released and is available for download. This release includes a number of important bug fixes including a critical bug within the decision tree node handling categorical values and the sorter node handling huge datasets with millions of instances. For further details see the detailed changelog.
In addition, an experimental Windows 64bit version has been created again. Both versions, KNIME Desktop (win64) and KNIME SDK (win64), are still pretty much untested and are intended to evaluate KNIME under Windows 64bit. We do not recommend using these versions in productive environments. Note also that those builds are already based on Eclipse 3.4 (all other versions of KNIME 2.0.3 are based on Eclipse 3.3) and do not support BIRT and the embedded R (Local) integration. You can point the R nodes to an existing R installation, however.
KNIME Desktop version 2.0.3 for 64bit Windows (x86, win64) (85 MB, MD5)
KNIME SDK version 2.0.3 for 64bit Windows (x86, win64) (208 MB, MD5)
Enjoy,
The KNIME Team!
Commercial Support launched for Open Source KNIME
21 April, 2009 - 12:13 — knime_adminZURICH, SWITZERLAND – KNIME.com GmbH now provides support contracts for the open source platform KNIME. The modular data exploration platform, originally solely developed at the University of Konstanz, Germany, enables the user to visually create data flows - or pipelines, execute selected analysis steps, and later investigate the results through interactive views on data and models. KNIME already has more than 2,000 active users in diverse application areas, ranging from early drug discovery and customer relationship analysis to financial information integration.
"With the 2.0.2 KNIME release, we have created a reliable and mature product, for which we can provide support for commercial, critical day-to-day use. Many users have asked us for professional support in order to allow them to make KNIME a valuable part within their enterprise IT infrastructure", stated Prof. Michael Berthold, one of the original creators of KNIME and a founder of KNIME.com. The support contracts for KNIME help companies utilize KNIME’s full value by connecting them with a reliable, qualified support partner. For more information, please visit http://www.knime.com/subscription.
"It is important to stress that there will be no functional difference between the freely available KNIME version and the supported one – there are no plans to restrict the open source version of KNIME in any way, in contrast, we believe KNIME should be freely available to anyone interested in analytical data exploration", explained Berthold. KNIME has already sparked a lot of interest in other academic groups, who are putting their own research prototypes into KNIME, thus providing enormous added value to users of the open platform.
KNIME 2.0.2 released
8 April, 2009 - 14:49 — knime_adminKNIME 2.0.2 has been released and is available for download. This release includes a number of important bug fixes, amongst others addressing some chemical related issues, as well as a few new features. For further details see the detailed changelog.
In addition, an experimental Windows 64bit version has been created. Both versions, KNIME Desktop (win64) and KNIME SDK (win64), are still pretty much untested and are intended to evaluate KNIME under Windows 64bit. We do not recommend using these versions in productive environments. Note also that those builds are already based on Eclipse 3.4 (all other versions of KNIME 2.0.2 are based on Eclipse 3.3) and do not support BIRT and the embedded R (Local) integration. You can point the R nodes to an existing R installation, however. Using Eclipse's update mechanism also leads to an UI error in both versions. At least for the KNIME SDK version a work-around exists: In the preferences go to "General -> Capabilities" and check the "Classic Update" option.
KNIME Desktop version 2.0.2 for 64bit Windows (x86, win64) (85 MB, MD5)
KNIME SDK version 2.0.2 for 64bit Windows (x86, win64) (208 MB, MD5)
Enjoy,
The KNIME Team!
ETH Zurich and KNIME Collaborate on High Content Screening Platform HC/DC
20 March, 2009 - 16:25 — fabian.dillZurich, Switzerland and Konstanz, Germany - We are happy to announce an academic partnership with the Data Handling Unit of High Content Screening Facility - RISC at the ETH Zurich, Switzerland. Content of this partnership is a close collaboration on the KNIME-based High Content Screening Platform HC/DC.
HC/DC has been developed by the Data Handling Unit of High Content Screening Facility – RISC, at the ETH Zurich.
High Content Screening (HCS) is increasingly used for the automated evaluation of spatio-temporally resolved multiple biochemical and morphological parameters in cellular systems. HCS data include comprehensive information about the bioactive molecules, the targeted genes, and images as well as their extracted data matrices after acquisition. The architecture of HC/DC is based on the KNIME platform and the Eclipse plug-in framework. HC/DC is a functional set of nodes for HCS, working together with KNIME and imageJ.
A plug-in for opening and processing proprietary HCS files (library management, numeric results and images) was developed within the KNIME environment. All those open source components (Eclipse environment, KNIME, R-Project, Weka and ImageJ) were chosen for its platform-independence, openness, simplicity, and portability. They are also the fastest pure Java image-, data-processing programs currently available.
