sma2-lifescience.ppt

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Introduction to the

Knowledge Discovery Department

Institute for Infocomm Research

Limsoon Wong

Deputy Executive Director (Research)

I 2 R: Imagination to reality

I 2 R Knowledge Discovery Dept:

INTRODUCTION

I 2 R

BMRC SERC

IMRE

IHPC

ICES

SIMTECH

IME

DSI

• mission:

Advance Infocomm

Technology to benefit humanity and create prosperity for S’pore

• core values:

Dedication to excellence, passion for innovation, integrity & respect

• size:

350 RSEs

Organization

I 2 R

Services & Applications Communications & Devices Media

Infocomm

Security

• Cryptography

• Network security

• Information security

Knowledge

Discovery

• Knowledge

Extraction

• Decision Systems

• Discovery

Systems

E-Service

Infrastructure

• Service

Composition

• Service creation

• Data-in-Network

• Connected Home

• Secure Filesystem/

DBMS

Media

Processing

• Mutimedia Signal

Processing

• Noise Reduction

Media

Semantics

• Media Adaptation

• Mixed Media Mining

• Natural Language

Synergy

• Pervasive Media

Human Computer

Interaction

• Perceptual Human

Media

• Speech & Dialogue

• Biometrics

Embedded

Systems

• Terminal

• Software Defined

Radio

Radio Systems

• Transceiver system

• Antenna

• Radio Over Fiber

• UWB

Networking Digital Wireless

• Next Gen IP

• End-to-end QoS

• Mobile Middleware

• Mobile Adhoc Networks

• Mobile Sensor Networks

• Modem Technology

• Multiple Access

• Smart Antenna Array

Systems

Lightwave

• Network Design

• WDM Systems

• Fibre Technology

History

8 years of bioinformatics

R&D in

Singapore

Integration

Technology

(Kleisli)

MHC-Peptide

Binding

(PREDICT)

Cleansing &

Warehousing

(FIMM)

Protein Interactions

Extraction (PIES)

Molecular

Connections

Gene Expression

& Medical Record

Datamining (PCL)

Gene Feature

Recognition (Dragon)

GeneticXchange

1994

ISS

1996 1998

KRDL

Venom

Informatics

2000

Biobase

2002

LIT/I 2 R

Direction & Plan

• Objectives

– Translate inspiration from biological systems into advancement of life and computing sciences

– Advance data mining technologies in decision systems for complex problems

• To work on practical systems for

– data mining

– data cleansing

– knowledge extraction

• Applied to

– gene regulation

– protein interaction

– clinical data analysis

– ligand-receptor interaction in addition to non-bio areas

I 2 R Knowledge Discovery Dept:

RECENT ACCOMPLISHMENTS

Predict Epitopes,

Find Vaccine Targets

• Vaccines are often the only solution for viral diseases

• Finding & developing effective vaccine targets

(epitopes) is slow and expensive process

• Develop systems to recognize protein peptides that bind

MHC molecules

• Develop systems to recognize hot spots in viral antigens

Recognize Functional Sites,

Help Scientists

• Effective recognition of initiation, control, and termination of biological processes is crucial to speeding up and focusing scientific experiments

• Data mining of bio seqs to find rules for recognizing & understanding functional sites

Dragon’s 10x reduction of

TSS recognition false positives

Diagnose Leukaemia,

Benefit Children

• Childhood leukaemia is a heterogeneous disease

• Treatment is based on subtype

• 3 different tests and 4 different experts are needed for diagnosis

Curable in USA,

 fatal in Indonesia

Cancer Cell , 1:133-143, 2002

• A single platform diagnosis based on gene expression

• Data mining to discover rules that are easy for doctors to understand

Understand Proteins,

Fight Diseases

• Understanding function and role of protein needs organised info on interaction pathways

• Such info are often reported in scientific paper but are seldom found in structured databases

• Knowledge extraction system to process free text

• extract protein names

• extract interactions

Recent Collaborations/Partners

• Molecular Connections, India

• RIKEN, Japan

• St Jude, USA

FANTOM2 Consortium

Nature 420, 563-573, 2002

• BioBase, Germany

• Canberra Hosp., Australia

• GIS, Singapore

I 2 R Knowledge Discovery Dept:

PEOPLE

Who will you be working with...

Heads of labs

Jinyan Li

Other PIs

Vladimir Bajic

Limsoon Wong

• 18 full-time staff comprising

9 PhD, 6MSc, and 3BSc

• Our faculty holds adjunct professorial positions in

SANBI, Univ. of Canberra,

NUS, and NTU

See-Kiong Ng

Vladimir Brusic

Track Record

Journals:

3 chief editorial roles, and 9 editorial board memberships

International Conferences (last 5 years):

4 conference chairs, and more than 40 program committee roles, 10 keynote lectures, and dozens of plenary talks

Publications (last 5 years):

More than

100 in last 5 years, mostly in reputable journals (e.g. Nature,

PNAS, Cancer Cell,

JACM) and top conferences.

Patents (last 5 years):

1 granted and

6 pending

Commercialization (last 5 years):

2 international start-ups and one software licensed

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