institute of systems biology (inbiosis)/ school of biosciences & biotechnology (faculty of...
TRANSCRIPT
Institute of Systems Biology (INBIOSIS)/
School of Biosciences & Biotechnology (Faculty of Science
& Technology),
Bioinformatics Development in
Malaysia Zeti, A.M.H.
Introduction
5 main objectives:-
To develop national biotechnology information network
To undertake development of database in biotechnology of national importance
To develop human resource development program
To provide the necessary infrastructure, connectivity and resources for bioinformatics
To develop R & D program in biocomputing, genome informatics, molecular modeling and software development
National Biotechnology Policy (April 2005)
• TARGET BIOTECHNOLOGY SECTORS
Agricultural Biotechnology
Healthcare Biotechnology
Industrial Biotechnology
Bioinformatics
1. National Biotechnology
Information NetworkStarted in April 1998
NBBnet
a distributed network with users from local universities and RIs
based at MGI Interim Facility at UKM-MTDC Smart Technology Centre
2. Development of Biotechnology
Databases
3. Human Resource Development Program
Young Lecturer Scheme
PhD program abroad
various funding bodies
MSc/PhD
3. Human Resource Development Program
INTAKE 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008
BSc 18 15 11 18 21
MSc / / / 10 13
PhD / / / / 2
4. Infrastructure, connectivity and
resourceshosted at
SGI server and workstations
X86-based server and workstations
Power PC workstation
Cluster Systems
Grid Systems
D E L L P o w e r e d g e 6 0 0 S C
S G I O r i g i n 2 0 0
S G I F C J B O D
I B M I n t e l l i S t a t i o n
F i r e w a l l
C o m p a q D L 3 8 0 / D L 3 6 0
B e o w u l f C l u s t e r
S G I O r i g i n 2 1 0 0
U K M n e t w o r k
I n t e r n e t
2 M b p s
1 0 0 M b p s
C o m p a q F C
R A I D
T a p e D r i v e
M B C C - U K M / N I G M B N B B n e t N o d e
S e r v e r F u n c t i o n a n d N e t w o r k D i a g r a m
N I G M B i n t r a n e t1 0 0 M b p s
Ø W e b a p p l i c a t i o n
Ø B i o i n f o r m a t i c s a p p l i c a t i o n s
Ø B i o i n f o r m a t i c s c o m p u t a t i o n s
Ø D a t a b a s e s
Ø E - M a i l S e r v e r
Ø W e b d o m a i n n a m e ( c g a t . u k m . m y )
Ø M S I I n s i g h t I I l i c e n s e s e r v e r
Ø L a b I n f o r m a t i o n
M a n a g e m e n t S y s t e m
( L I M S ) s e r v e r
Ø A d m i n i s t r a t i v e S M T P s e r v e r
Ø W e b S e r v e r ( W i n d o w s b a s e d -
A p a c h e )
Ø D a t a b a s e s e r v e r ( M y S Q L )
Ø I n t r a n e t a p p l i c a t i o n
Ø G C G S e r v e r
Ø P r o t e i n m o d e l l i n g c o m p u t a t i o n s
Ø A c c e l r y s I n s i g h t I I s e r v e r
Ø B i o i n f o r m a t i c s A p p l i c a t i o n s ( I R I X )
W a t c h g u a r d F i r e B o x 1 0 0 0
S u n F i r e 2 8 0 R
S u n F i r e V 2 1 0
Ø S u n G r i d E n g i n e
Ø B i o G r i d A p p l i c a t i o n
Ø S u n G r i d E n g i n e
C l u s t e r n o d e s
Ø B i o G r i d A p p l i c a t i o n
I B M e - S e r v e r
Ø G l o b u s G r i d e n g i n e
Ø B i o G r i d A p p l i c a t i o n
D E L L P o w e r e d g e 6 0 0 S C
S G I O r i g i n 2 0 0
S G I F C J B O D
I B M I n t e l l i S t a t i o n
F i r e w a l l
C o m p a q D L 3 8 0 / D L 3 6 0
B e o w u l f C l u s t e r
S G I O r i g i n 2 1 0 0
U K M n e t w o r k
I n t e r n e t
2 M b p s
1 0 0 M b p s
C o m p a q F C
R A I D
T a p e D r i v e
M B C C - U K M / N I G M B N B B n e t N o d e
S e r v e r F u n c t i o n a n d N e t w o r k D i a g r a m
N I G M B i n t r a n e t1 0 0 M b p s
Ø W e b a p p l i c a t i o n
Ø B i o i n f o r m a t i c s a p p l i c a t i o n s
Ø B i o i n f o r m a t i c s c o m p u t a t i o n s
Ø D a t a b a s e s
Ø E - M a i l S e r v e r
Ø W e b d o m a i n n a m e ( c g a t . u k m . m y )
Ø M S I I n s i g h t I I l i c e n s e s e r v e r
Ø L a b I n f o r m a t i o n
M a n a g e m e n t S y s t e m
( L I M S ) s e r v e r
Ø A d m i n i s t r a t i v e S M T P s e r v e r
Ø W e b S e r v e r ( W i n d o w s b a s e d -
A p a c h e )
Ø D a t a b a s e s e r v e r ( M y S Q L )
Ø I n t r a n e t a p p l i c a t i o n
Ø G C G S e r v e r
Ø P r o t e i n m o d e l l i n g c o m p u t a t i o n s
Ø A c c e l r y s I n s i g h t I I s e r v e r
Ø B i o i n f o r m a t i c s A p p l i c a t i o n s ( I R I X )
W a t c h g u a r d F i r e B o x 1 0 0 0
S u n F i r e 2 8 0 R
S u n F i r e V 2 1 0
Ø S u n G r i d E n g i n e
Ø B i o G r i d A p p l i c a t i o n
Ø S u n G r i d E n g i n e
C l u s t e r n o d e s
Ø B i o G r i d A p p l i c a t i o n
I B M e - S e r v e r
Ø G l o b u s G r i d e n g i n e
Ø B i o G r i d A p p l i c a t i o n
Bioinformatics infrastructures provided by
4. Infrastructure, connectivity and
resources
U S M
U U M
U T P U M U K M U P M U T M M M UU i T M U i T E N
U M S
U n i M A S
1 5 5 M b p s I P
b a c k b o n e
T E I N 2 ( 4 5 M b p s )
C o n n e c t i v i t y t o
O t h e r N R E N s
G o v . R I s
I n d u s t r y l a b s
P r i v a t e U n i s
C o m m o d i t y I n t e r n e t
M Y R E N
N O C / P o P
C y b e r j a y a
M I M O S G r i d C l u s t e r
C l u s t e r s / G r i d / A p p l i c a t i o n S e r v e r s
Another hub for bioinformatics
IntegratingIntegrating Proteomics, Transcriptomics, Proteomics, Transcriptomics,
Metabolic Profiling and Bioinformatics Metabolic Profiling and Bioinformatics to reveal the Biology of Plants and to reveal the Biology of Plants and
MicrobesMicrobeswww.ukm.my/inbiosis
5. R & D Programs
Computational Biology
Genome Informatics
Structural Bioinformatics
Systems Biology
5. R & D Programs
Ministry of Science, Technology & Innovation
BIOTEK
Science-Fund
Ministry of Higher Education
Fundamental Research Grant Scheme
Projects by approved research area
9th Malaysia Plan RESEARCH PROJECTSGenomics and Molecular Biology Initiative - Approved
Projects
Bioinformatics Projects @ UKM
Development of Novel Technology for Accurate Function Prediction based on Protein 3D Structure and Molecular Interaction Information
Development of Accelerator Hardware and Software Solutions for Genome Informatics Applications
in silico proteomics analysis of tunicate proteins
Functional Annotation of Predicted Protein Interaction
Structural Bioinformatics on various proteins of interest (collaboration with wet lab people)
Bioinformatics Projects @ UKM
Dynamic Simulation of Terpenoid Pathway
Integrating genomic and proteomic data with structural bioinformatics: completing the picture in mitragyna metabolic pathway
Modeling of Fatty Acid Biosynthetic Pathway in Plant
Development and Application of Machine Learning Techniques to Biological Systems
Call for collaboration
THANK YOU VERY MUCH
FOR YOUR ATTENTION