We have just released KNIME 2.1.2.

This bug fix release addresses a number of minor issues in KNIME. It also contains a new Perl scripting node, which is now available on KNIME Labs. For a detailed list of changes see the changelog.

February 22-27, 2010

The 3rd KNIME Workshop and Users Meeting will be taking place at Technopark in Zurich, Switzerland between 22 - 27 of February 2010. This is an excellent opportunity to meet other KNIME users, learn how KNIME is used in different industries and how it is applied to solve various data analysis, data integration and reporting problems.

Call for Contribution and Participation

KNIME Special Interest Group High Content Analytics (SIG-HCA)

Kick-Off Meeting
Friday/Saturday, February 26/27, 2010
Zurich, Switzerland

High Content Screening is becoming increasing important - in parallel, processing and analyzing the resulting wealth of information is also receiving growing attention. Several groups have already added components to the open source data analytics environment KNIME for this task, however, the integration of these modules and other available toolkits still remains an unsolved problem. In order to coordinate ongoing developments and stimulate new activities as well as the integration with existing toolkits, a special interest group High Content Analytics (SIG-HCA) was recently created. The aim of this group is to coordinate and support the activities to expand the open source platform KNIME to cover the complete High Content Screening workflow.

The kick off meeting of the Special Interest Group SIG-HCA is scheduled to be held in conjunction with the 3rd KNIME Users Meeting in Zurich, Switzerland.
The meeting's aim will be two fold. Firstly, we want to bring together researchers and practitioners from academia and industry working in the area of high content screening data analysis to present their contributions and application scenarios. Secondly we aim to start working on a unifying framework for the development and use of KNIME for high content screening data analysis and the interaction with other projects.

Please let us know if you are interested in presenting either open source contributions or use cases of such software in the context of high content screening data analysis. Send title and a short abstract to mb@knime.org.

We also want to take this opportunity to form a steering committee that oversees future activities in this area. Please contact us if you are interested in joining the SC of SIG-HCA.

The outline of the program looks as follows:

Friday Afternoon:
- Welcome, Introduction
- Tools & Nodes: Presentations about ongoing projects
- Use Cases: Presentations related to HCS data analysis projects
- Election of Steering Committee
Saturday Morning:
- Round Table Discussion on future direction (API, framework)
- Discussion regarding medium to long term (1-3yr) requirements
- Q&A session, draft specifications of modules

The Founding Steering Committee of SIG-HCA,
Michael R. Berthold (University of Konstanz, Germany and KNIME.com)
Nicolas Cebron (ICSI Berkeley, USA)
Gabor Csucs (ETH Zurich, Switzerland)
Karol Kozak (ETH Zurich, Switzerland)

Please let us know if you are interested in attending. We are asking you to register before January, 31, 2010 to allow for better planning.
Registration is done via the regular KNIME Users Meeting registration site at
http://www.knime.org/events/3rd-users-meeting

We look forward to seeing you in Zurich in February!

The KNIME team

KNIME.com is proud to announce the release of the first set of Enterprise products for KNIME.

KNIME Cluster Execution, KNIME Report Server, KNIME Server Lite are now available from KNIME.com.

More details on the new KNIME products can be found here.

Call for presentations

On February 22. to February 27., 2010 KNIME.com is hosting the 3rd KNIME Workshop and Users Meeting in Zurich, Switzerland. The KNIME Users Meeting which is held on 24. and 25. of February provides an excellent opportunity to share your knowledge, experience and ideas about KNIME.

The meeting is set up in two sessions: A general session about KNIME and its use for data mining, machine learning, reporting or other general data analysis applications and a life science session about the use of KNIME in a chemo- and bioinformatics environment.

Detail can be found here

If you have some interesting topic that would fit one of the two sessions and if you would like to present your work please send a short abstract to: info@knime.com.

We have just released the free KNIME Report Designer for KNIME, the proven user-friendly and comprehensive open-source analytics platform.

You can now use KNIME's powerful workflow editor to load, preprocess, transform and analyze your data, and the Report Designer plug-in to create sophisticated reports including individually formatted charts, tables and other data overviews. KNIME Report Designer is based on BIRT, the Business and Reporting Tools Eclipse project, therefore enabling access to the wealth of reporting tools from this environment.

Details on KNIME Report Designer can be found on the new reporting website. You can download KNIME 2.1.1 combined with the Report Designer or if you want to add the Report Designer functionality to an existing KNIME installation, please upgrade to KNIME 2.1.1. and then follow the update instructions. To get you started on KNIME Report Designer you can find a Quickstart Guide as well as a number of movies providing you with an introduction to the use of KNIME Report Designer.

We have just released KNIME 2.1.1.

This a a small bug fix release which addresses some features needed for KNIME Report Designer and fixes a number of smaller bugs in KNIME itself. For a detailed list of changes see the changelog.

We have just released version 2.1 of KNIME, the most user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform. KNIME 2.1 is available for download and is, starting with this release, covered by GPLv3 (see license for details).

(If you are new to KNIME, you can find a few short movies showing KNIME in action.)

This new version includes - among many improvements under the hood - several exciting additions:

Time series support:

KNIME 2.1 introduces a set of nodes for handling date and time values within KNIME workflows.

Web services:

a new node is now available on KNIME labs that allows users to feed data sets to arbitrary web services. This expands the use of KNIME far beyond the built-in functionality and makes a vast amount of additional online functionality accessible from your KNIME workflows.

Image and text processing modules:

in addition to the already published text processing nodes, now a large collection of nodes to process images can also be downloaded from KNIME Labs

PMML support:

after offering beta functionality in version 2.0, KNIME now offers full PMML support (both as producer and consumer) for PMML.

Asynchronous and scalable data handling:

the KNIME data caching mechanism, which allows data sets limited only by available external storage space to be processed, is now handling data I/O asynchronously, hence further accelerating KNIME data handling.

R integration:

R nodes in KNIME can now also be used to produce and consume predictive models, making it even easier to include existing IP in the form of R-scripts when upgrading your business process to KNIME.

Database connectivity:

the universal database connectors and "in DB operation" KNIME nodes also support the new date and time types.

Expanding OS Support:

the vintage Linux (32/64 bit) and Windows (32 bit) versions are now complemented by a Windows 64 bit version and an experimental build for Mac OSX.

Some additional enhancements are:

• Undo/redo functionality for the workflow editor
• Various new processing and analysis nodes, e.g. a new set of PCA nodes
• Weka Model Reader and Writer nodes
• LibSVM integration
• Workflow Directories
• ...

For a detailed list of changes see the changelog.

KNIME is the only open source analytics tool that has been developed from day one using rigorous professional software engineering processes in conjunction with cutting-edge data analytics expertise from a university group. KNIME.com GmbH, located in Zurich, Switzerland, with distributors and partners in Europe, USA, and Japan offers consulting and training for the KNIME platform in addition to an increasing range of enterprise products (KNIME Server and Cluster Execution) and the free KNIME Report Designer, which will be released in late November. Visit www.knime.com for more information.

New JChem extensions for KNIME delivered by Infocom provide integration of ChemAxon chemical structure handling functionality to the KNIME user community to enable chemical structure manipulations within the KNIME workflow environment.
TOKYO, JAPAN and ZURICH, SWITZERLAND – Infocom, Corporation, a ChemAxon integration partner and provider of Bioinformatics solutions announced the release of the new version of the JChem Extensions version 2 for KNIME. The modules allow researchers to handle chemical structure data using ChemAxon’s software tools such as Marvin, JChem, and Standardizer within the open source KNIME workflow environment.

The KNIME platform provides a modular environment to visually create data flows, analyze and build predictive models. The JChem Extensions contain some nodes that are free of charge for general use. These nodes are called “Marvin Family Nodes” which include a set of nodes for structure conversion, “Marvin Sketch”, “Marvin View”, and “Marvin Space” which offer sophisticated rendering capabilities for chemical structures that users of KNIME in the Cheminformatics sector have been waiting for.
"The JChem Extensions for KNIME and the Marvin Family Nodes allow researchers to achieve high quality drawing and visualization of chemical structures on top of the KNIME workflow platform” said Shojiro Morishita, General Manager and responsible for KNIME extensions at Infocom. "Our work allows the scientists in chemical and pharmaceutical research to use the ChemAxon tools together with the KNIME high quality data analysis and data mining functionality.”

“The JChem Extensions for KNIME are another example of the flexibility of ChemAxon's tools being integrated into all major workflow programs“ said Alex Drijver, CEO of ChemAxon. “We are happy to see the results of Infocom making more functionality available to KNIME users in this release.”

Attention

This event has been postponed. Check with the ETH Website for updates!!!

Dates:

16th and 17th of October, 2009

Location:

ETH Zurich, Switzerland

Objectives

The workshop is targeted to researchers and practitioners working on high content screening applications and interested in using, and/or integrating tools into KNIME. In particular, the following goals are of prime interest:

• identify the data management challenges in High Content Screening
  (HCS) when using workflow technology
• discuss concerns and achievable goals in the mid-to-long term, beyond the next 3 years
• standardization of a unifying KNIME API and node architecture.

For more information please refer to the corresponding announcement of the ETH Zurich.