The 4th KNIME Workshop and Users Meeting at Technopark in Zurich, Switzerland took place between February 28th and March 4th, 2011 and was a huge success.
The meeting was very well attended by more than 130 participants. The presentations ranged from customer intelligence and applications of KNIME in soil and fuel research through to high performance data analytics and KNIME applications in the Life Science industry. The second meeting of the special interest group attracted more than 50 attendees and was filled with talks about how KNIME can be put to use in this fast growing research area. Below you can find the presentations.
The KNIME team.
Wednesday Mar. 2 - KNIME Users Meeting Day 1
Session 1: KNIME Updates from the KNIME team
Welcome and Introduction
Michael Berthold, KNIME
KNIME Today: New Features of Version 2.3
Bernd Wiswedel, KNIME
KNIME Labs – See What’s Cooking
Thomas Gabriel, KNIME
Session 2: KNIME Applications
Keynote Real-World Advanced Customer Intelligence
Phil Winters, Peppers & Rogers Group
The use of KNIME in the development of IR-based indices of soil condition across landscapes
Tor Vagen, World Agroforestry Centre
Explorative Analysis and Visualization of Multi-Dimensional and Geo Related Fuel Survey Data with KNIME
Alexander Warta, Robert Bosch GmbH
Survey Data Collection
Rosaria Silipo, bizzeps AG
Pervasive DataRush: Parallel data analysis with KNIME
Jim Falgout, Pervasive Software
Next Generation Data Mining - Data Mining Automation & Realtime-Scoring “on-the-cloud”
Stefan Weingärtner, Dymatrix Consulting Group, Mike Zeller, Zementis
Thursday Mar 3 - KNIME Users Meeting Day 2
Session 3: Life Science
KNIME as a platform for distributed molecular property predictions
Nils Weskamp, Boehringer Ingelheim
A stitch in KNIME saves nine: Strategies for design in medicinal chemistry
Michael Bodkin, Eli Lilly
Primetime for KNIME: Towards an integrated analysis and visualization environment for RNAi screening data
Oliver Gathmann, Cenix BioSciences
KNIME and Next Generation Sequencing: From data cleansing to systems biology
Bernd Jagla, Institute Pasteur
KNIME: Applications in Structure-Based Drug Design at Evotec
Michael Mazanetz, Evotec
KNIME workflow for chemoinformatics tasks at Angelini
Candida Manelfi, Angelini Research Center
Session 4: Partner Session
KNIME Life Science Partners
Schrödinger, CambridgeSoft, Tripos, Infocom, Symyx, ChemAxon, BioSolveIT, Chemical Computing Group, Cresset, Cloud Broker
Session 5: KNIME Community Session
The RDKit: open-source cheminformatics (now for KNIME too!)
Greg Landrum, Novartis NIBR
KNIME Nodes - Precompetitive Computational Medicinal Chemistry
Michael Bodkin, Eli Lilly
Scripting without Scripts: A User-Friendly Integration of R, Python, Matlab and Groovy into KNIME
Felix Meyenhofer, MPI Dresden
Announcement of the free Marvin Structure Renderer and Editor
Nora Lapusnyik ChemAxon, Shunichi Ozawa Infocom
Friday Mar. 4 - SIG High Content Analytics
Session 1: HCA applications and challenges for workflow systems
Image Analysis and Data Mining for HCS of Cytoskeletal Rearrangements
Maria Montoya Sanchez, CNIC
Automatic localization, tracking and classification of dividing cells in live cell movies
Christian Dietz, University of Konstanz
siRNA Infection Screen: Pitfalls & Promises
Roger Meier, ETH Zurich
Challenges for High Content Analysis of Infectious Diseases
Nathalie Aulner, Pasteur Institute
Host cell signaling in Helicobacter pylori infection. siRNA Screen for host proteins involved in NFκB and ERK activation
Andre Maeuer, MPIIB Berlin
Session 2: KNIME HCA Extensions
Overview New Image Processing Plugin
Martin Horn, KoRS-CB University of Konstanz
Screen Mining with KNIME
Martin Stöter, MPI Dresden
KNIME Bioinformatics Extensions
Karol Kozak, ETH Zurich
Session 3: Informatics models for HCA
High Content Imaging and Flow Cytometry with Phaedra: can we integrate with KNIME?
Frans Cornelissen, TIBBE, Johnson & Johnson
High-content screening and data pipelines
Jürgen Reymann, Bioquant
Columbus: Introducing universal integrated image data management and analysis for High Content Screening
Martin Daffertshofer, PerkinElmer
iBRAIN: single-cell analysis of high-throughput screens
Berend Snijder, Uni Zurich
