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Knime

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Submitted By abelnabbel
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QUESTION 2
Discuss on data preparation features provide by the product To us features of KNIME, the very openness of great open platforms for data innovation makes perfect sense: They’re more powerful because they’re highly integrative, developed around transparency and trust, and they help organizations become more agile and collaborative in their data innovation, all with fewer risks, at lower cost and in less time. And it’s because of these advantages that we’re seeing a lot of large global organizations and institutions actively consider and adopt open platforms for their data science teams. The downloaded data have also been enriched with topology, elevation, local weather, holiday schedules, traffic situation, business locations, tourist attractions, and other types of information widely available on the Internet via web or REST services. In this kind of cutting edge problems, where a very large amount of data is generated, it is imperative to adopt a scalable approach that can grow together with the application in future. A scalable approach means not only handling bigger data faster, but also reaching out to new external data sources, integrating different complementary tools to refine the analytics with the newest emerging algorithms and techniques, and collaborating within the analyst team to exploit the group’s collective competence. The Internet of Things is a very good example of the data explosion that is happening in most fields, from social media to sensor-driven processes.

QUESTION 5
Discuss on facilities for understanding results provide by the product. Visual programming environments become more and more popular in life sciences and in cheminformatics. As a Partner of KNIME BioSolveIT supports this trend by providing interface nodes to all its major software tools.
We now have KNIME nodes for the following scenarios: -Searching through compound libraries and Fragment Spaces with our fuzzy similarity engine features.
-Docking with FlexX
-Aligning molecules in 3D with FlexS. This suite of tools is completed by a few auxiliary tools like a very comfortable interactive table that visualizes FTrees mappings and allows interactive sorting and filtering, a 3D viewer to browse through the sets of flex alignments, and a really fast engine converts standard molecular and graphic formats. The 2D drawing engine which can also be used as renderer within KNIME is based on the latest 2D drawing technology from the Center for Bioinformatics in Hamburg (ZBH). A final touch of usability rounds up the new generation of our KNIME nodes is there are new, separate installation packages for all binaries that install all required software out of the box. The easy update mechanism that was introduced into KNIME with Version 2.3.0 is now supported. And finally, all functionality is also available on the KNIME cluster and integrates seamlessly into KNIME reporting facilities. These were the last preparative steps before the BioSolveIT KNIME nodes will soon get the certification stamp from KNIME®.

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