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Introducing InforSense Kanishka Karunanayake

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Presentation on theme: "Introducing InforSense Kanishka Karunanayake"— Presentation transcript:

1 Introducing InforSense Kanishka Karunanayake kanishka@inforsense.com

2 Proprietary and Confidential © InforSense Ltd Why Scientific Workflow? Today researchers and decision-makers need effective and timely access to the right information, expertise and derived knowledge to fuel innovation and drive productivity The Workflow Paradigm Describes the process of transforming and analysing data to deliver the desired insights And provides the glue to integrate distributed applications

3 Proprietary and Confidential © InforSense Ltd What does InforSense do? We provide a workflow engine that: Provides an open Integrative Analytics environment that ties together your information resources and software applications across domains and functions Supports innovation and capture of the best work practices of your scientific/business decision making Leverages the scalability of Oracle We provide workflow warehousing to: Manage decision making processes across your organisation Construct an enterprise process/workflow knowledge bank where it is easy to modify and reuse workflows We provide flexible workflow deployment engines to: Turn your workflows into reusable decision services in a manner best suited to your users (web services, client/server, portals, or.net clients) Provide the appropriate capabilities to your researchers, informaticians, and managers

4 Proprietary and Confidential © InforSense Ltd Integrative Analytics Workflow Environment Expert User /Analyst Enumeration & descriptors Lab & analytical data VisualizationCompound & activity data ID Business Solutions Databases & documents Experiment & design Analytics Heterogeneous Data, Applications, Analytic Components Deployed Applications Workflow Warehouse Ubiquitous Workflows, Warehouses and Deployment Engines

5 Proprietary and Confidential © InforSense Ltd InforSense Architecture Overview App Server TierThird Tier Services Inforsense Web Service Engine InforSense EJBs Userspace Execution Data management Node SDK Server API J2EE JBoss RDBMS Webservices Client Tier Browser InforSense Client 3rd Party Clients Java Component Strategy Command Line Strategy InforSense.net Client Web Services Strategy Deployment Strategies Native Executables Authentication services JAAS e.g. LDAP, ActiveDirectory Batch Systems Sun Grid Engine, LSF SOAP RMI RMI/SOAP RMI HTTP/HTTPS JDBC SOAP JAAS Workflow Warehousing Oracle

6 Proprietary and Confidential © InforSense Ltd Openness: Working with any vendors Searching Oracle DB using JChem Cartridge Output SD file Input list to pipeline pilot Analyse in PP Combine PP data columns with ongoing analysis Output list of IDs for screening Retrieve data from ABase Add derived columns from xls file Analyse in Spotfire and return results set to KDE for further analysis

7 Proprietary and Confidential © InforSense Ltd Deployment: Building Personal Applications Deployment : Vertical applications created from workflows Create workflow using InforSense client Deploy by point and click GUI Define actions Deploy Molecular Input View Result Define properties Deployed Workflow

8 Proprietary and Confidential © InforSense Ltd Deployment: Building Personal Applications

9 Proprietary and Confidential © InforSense Ltd ChemAxon Integration Path

10 Proprietary and Confidential © InforSense Ltd Workflows incorporating ChemAxon Technology

11 Proprietary and Confidential © InforSense Ltd Demo implements an expanded version of an original method reported in: Shipp et al Nature Medicine January 2002 Volume 8 Number 1 pp 68 – 74. Analysis of Lymphoma Genomic Data -- Searching for Relevant Genes and New Drugs Relevant Genes Literature Search/Text Mining Candidate Drug Search Sequence Analysis Genes Papers Pathways Candidate Drugs E.g. Eli Lilys Protein Kinase C Inhibitor LY317615 Prediction Model Cellular Pathway Analysis Patient Data Gene Expression Data Data Acquisition Multiple Types of Analysis Relevant Results Visualization Methodology

12 Proprietary and Confidential © InforSense Ltd

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14 Drug Search

15 Proprietary and Confidential © InforSense Ltd With InforSense 1 Person 10 Days 60 Nodes Share reusable workflows and data Collaborate on all aspects of work Flexibility, automation and reproducibility Rapid application deployment Without InforSense 3 People 90 Days 1000s of lines of customised code Novel Indication for existing Protein Kinase C Inhibitor LY317615 ROI - Integrative Analysis Example Novel Discovery & Knowledge Workflows

16 Proprietary and Confidential © InforSense Ltd InforSense Introduction & Mission Cambridge, MA London (HQ) European Field Office Shanghai Japanese Distributors Company founded Nov 1999 to commercialize Imperial College large scale integrative analytics IP 50 staff plus 20 developers in Shanghai Mission: Provide market leading integrative analytics software to enable enterprises to create, integrate, and leverage decision making knowledge more effectively 6 out of top 15 pharma are customers Windber Research Institute

17 Proprietary and Confidential © InforSense Ltd Customer Comments… I believe this is the best software for analysis, visualization and integration … – Dr. Keisuke Imai, Chief Technical Scientist, Fujisawa Pharmaceutical Co. – Stephen Calvert, Vice President, Cheminformatics, GSK. … [InforSenses] proven multi-platform integration will enable us to exploit our existing informatics investment and provide a highly extensible discovery environment for the future." – Dr. Herbert Köppen, Head of Chemoinformatics, Boehringer Ingelheim... The challenge is both to facilitate this dynamic and iterative [decision making] process, and at the same time, capture the key decisions that are made so they can be improved over time. … InforSense workflow technology provides a scalable integration solution, enabling our scientists to develop, enhance and share discovery services. With InforSense, we will ensure that the technology we build our infrastructure upon is an industry standard.

18 Proprietary and Confidential © InforSense Ltd Contact InforSense InforSense Limited 459a Fulham Road London SW10 9UZ (UK) t: +44 (0) 20 7808 9500 f: +44 (0) 20 7808 9501 InforSense LLC 25 Moulton Street Cambridge, MA 02138 (USA) t: +1 617 547 2500 f: +1 617 547 2772 Additional information can be found at www.inforsense.com For enquiries, product information and collaboration, please email me at: kanishka@inforsense.com


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