GeneData Solutions in-silico - Cal State LA - Instructional Web Server

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5 Δεκ 2012 (πριν από 4 χρόνια και 8 μήνες)

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GeneData

Solutions in
-
silico

Swapna Annavarapu

SoCalBSI

CalState
,
LA




Genedata




Supporting Drug Discovery


with Computational Solutions




Mission Statement




Genedata develops and markets

sophisticated computational solutions

for drug discovery related R&D
processes

Overview



Currently 40+ customers with Continuous natural growth 100+
successful projects since 1997 based on consistent


performance in revenues



Current staff of > 90

Excellent reputation professionals with strong scientific,

for quality of computational and business

professional services background



Strong & innovative Headquarter in Basel, with

software portfolio for offices in Boston, San Francisco

key research processes





Customer List

Pharmaceutical Companies


Altana, Arrow Therapeutics, Astellas Pharmaceuticals, AstraZeneca,


Athelas, Bayer Pharma, Berlex, Merck, Medigene, Millennium, Novartis,


Pfizer, Renovis, Roche, Sanofi
-
Aventis, Serono,Schering, Transtech,


Vertex


Agrochemical, Biotechnology, and other Life Science Related Companies


Bayer CropScience, Bayer Diagnostics, Degussa, diaDexus,


Digigenomics, DSM, Masterfoods, MWG
-
Biotech, Syngenta


Research Institutes


DKFZ, ETH Zuerich, FMI, National Institutes of Health, NCC Japan, NCC


Singapore, NITD Singapore, NITE Japan, University of California,


University of Minnesota/Mayo Clinic, University of Muenster


Business Model


SERVICES


+ Scientific
Consultancy


+ Technical
Consultancy


+ Custom
Development


+ IT Support



LICENSES

+ Software Systems

+ Software Modules

+ Intellectual Property

Computational Platform for Drug Discovery

The Value Chain

The Value Chain

Genedata Expressionist®

Genedata Expressionist®

+
Corporate
-
Wide Sample Processing System

¬ Addresses the requirements for integrated support of high
-
volume data

generation (transcriptomics, proteomics, metabolomics) by addressing:

integrative data management

integrative data analysis & prediction

¬ Key advantages:

High
-
Throughput (experiments & genes/proteins/metabolites)

Automation

Standardization of data management and data analysis

¬ driving reduction of analysis costs, optimization of quality and thus

success rate

¬ Complete process coverage from sample acquisition to decision support

¬ Semantical integration for cross
-
domain analysis reduces

communication

overhead within internal organization

¬ Validation according to FDA 21 CFR Part11


Product Development Strategy


+
All products have been developed in close collaboration

with major pharmaceuticals since 1997

¬ Major partners includes:

Novartis

Altana

Schering

¬ Each product is in an advanced stage with > 50 man years of

development investment and is ready to install/use

¬ Current versions:

Genedata Phylosopher Version 6.0+

Genedata Screener Version 3.0+

Genedata Expressionist Version 6.0+


Genedata Success Story

+
Driving Business Principles for Pharma

¬ Identification of computational needs for important R&D processes

(e.g. Biomarker Discovery, In
-
silico prediction of toxicity and efficacy,

uHTS, HCS, Target Validation)

¬ No competitive advantage in internal software development

¬ Most efficient (in terms of TCO) process is implementation and usage

of commercial software systems

+
Case Study Altana

¬ License for Genedata Phylosopher®, Genedata Expressionist® &

Genedata Screener®

¬ Custom Development

¬ Development Partner for Genedata Phylosopher®

¬ Scientific Collaborations

¬ Professional Services & Technical Consulting


New initiatives

+
Biomarker Discovery & In
-
silico Prediction of Toxicity and Efficacy

¬ Increase Prediction Quality (from ~ 10% misclassification to < 1%)

Experimental Design

SOP

Technology Refinement

¬ Genedata as Computational Solution Provider for

Innomed Consortium (Focus on Application & FDA requirements)

Nugeneris Consortium (Focus on Data Standardization)

BioCop Consortium (Focus on SOP & Technology)

¬ Collaboration with customers for FDA 21 CFR Part11 Validation

+
Systems Biology & Disease Modeling

¬ Understand disease pathways and protein interaction networks

¬ Integration of Transcriptomics, Proteomics & Metabolomics