|
|
Chair, IAPR-TC20
Professor Jagath Rajapakse
Nanyang Technological University, Singapore
www.ntu.edu.sg/home/asjagath
Vice Chair, IAPR-TC20
Professor Raj Acharya
The Pennsylvania State University,
USA
www.cse.psu.edu/~acharya
Goal
The goal of TC20 is to bring together pattern recognition scientists and
life scientists to find solutions to problems in bioinformatics, and foster
multidisciplinary research in the pattern recognition community.
In order to achieve its goal, TC-20 will expand its
activities in the following areas:
Education: through the website,
educational materials such as lecture notes, tutorials, etc., will be made
available.
Research: a database of
bioinformatics applications, literature, tools, and benchmark datasets will
be maintained.
Events: organize PRIB conferences,
special sessions at conferences, special issues of journals, and
competitions, etc.
Background
The past decade has witnessed an explosion and implosion of the amount and
complexity of bioinformatics data such as DNA and protein sequences, gene
and protein expressions, structures, pathways, genetic information,
biomedical text data, and molecular images. Although the analyses of these
data involve pattern recognition and data mining, novel and efficient data
analysis techniques are yet to be discovered to realize their true
potential.
Bioinformatics
is aimed at discovering knowledge from life sciences data with the aid of
Information Technology, to find answers to unresolved problems in biology. One of the important discoveries of
pattern recognition in bioinformatics is that specific patterns of our
genomes and proteomes are able to tell our characters and how prone we are
for certain diseases. In the coming years, medical practitioners will be
able to personalize our medication by just looking at these patterns.
Research Interests
Pattern
recognition in the following areas:
- Computational and comparative
genomics
- Functional genomics
- Structural bioinformatics and
proteomics
- Cheminformatics, chemigenomics
- Systems biology, pathway
analysis
- Phylogenic analysis of species,
sequences, structures, etc.
- Immunoinformatics
- Neuroinformatics
- Drug discovery,
pharmacogenomics
- Medical informatics
- Molecular and cellular imaging
Pattern
Recognition for Bioinformatics
DNA molecules store the blueprint of cell function. Information stored in
DNA, a chain of four nucleotides (A, T, G, and C), is first transcribed to
mRNA and then translated to the functional form of life, proteins. The
initiation of translation or transcription process depends on the presence
of specific signals and patterns, referred to as motifs, present in DNA and
RNA. Research on in silico
detection of specific patterns of DNA sequences such as genes, binding
sites, and promoters, leads to better understanding of molecular level
function of a cell. Comparative genomics focus on comparison of different
genomes to find conserved patterns or significant mutations over the
evolution, which could possess some functional significance. Construction
of evolutionary trees is useful to infer how genome and proteome are
evolved and branch across species by ways of a complete library of motifs
and genes.
A protein’s functionality or interaction with other proteins
is mainly determined by its 3-D structure. Prediction of protein’s 3-D
structure from its 1-D amino-acid sequence remains an important problem in
structural genomics; protein-protein interactions are responsible for most
molecular functions in living cells. Computational modeling and
visualization tools of 3-D structures of proteins and interaction help
biologists to infer cellular activities.
The challenge in functional genomics is to analyze gene expressions
accumulated by microarray techniques to discover co-regulated genes and
thereby gene regulatory networks. Discovering and understanding how genes
and proteins interact in specific pathways are gateways to systems biology.
Molecular and cellular imaging provides techniques for in vivo sensing or imaging of cellular events such as movement
of cells and subcellular localization of proteins. Potential techniques to
fuse and integrate different types of life sciences data are yet to be
realized.
The ever
expanding knowledge of biomedical and phenotype data, combined with
genotypes, is becoming difficult to be analyzed by traditional methods.
Advanced data mining techniques, where the use of metadata for constructing
precise descriptors of medical concepts and procedures, are required in the
field of medical informatics. The vast amount of biological literature is
posing new challenges in the field of text mining. These text mining
techniques along with the aid of information fusion methods could help find
pathways and interaction networks.
Today, high
throughput and high content screening techniques allow biologists to gather
data at an unprecedented rate. However, pattern recognition techniques to
make inferences from these data are not evolving at a rate sufficient to
meet the demand.
PRIB Conference
International Conference on Pattern Recognition in Bioinformatics (PRIB) is
the major event of TC-20.
–
Fourth IAPR International Conference on
Pattern Recognition in Bioinformatics (PRIB 2009), upcoming…
–
Third
IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB
2008), Melbourne, Australia, Oct 15 – 17, 2008
–
Second
IAPR International Workshop on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore,
Oct 1 – 2, 2007
–
First
International Workshop on Pattern Recognition in Bioinformatics (PRIB 2006), Hong Kong, China,
August 20, 2006
Special Sessions
WCCI
– IJCNN 2008
–
Analysis of gene and protein expression data
–
Prediction of protein structures and features
Publications
- Special Issue on “Pattern
Discovery from Bioinformatics Data”, IEEE Engineering in Medicine and Biology Magazine (to
appear in late 2008 )
- J. C. Rajapakse, B. Schmidt,
and G. Volkert (eds.) Pattern
Recognition in Bioinformatics: Second IAPR International Workshop,
PRIB 2007, Singapore, Lecture Notes in Computer Science (Sub-series:
Lecture Notes in Bioinformatics), Vol. 4774, Oct 2007, ISBN
978-3-540-75285-1
- J. C.
Rajapakse, L.
Wong, and R. Acharya (eds.) Pattern
Recognition in Bioinformatics: International Workshop, PRIB 2006, Hong
Kong, Lecture Notes in Computer Science (Sub-series: Lecture
Notes in Bioinformatics), Vol. 4146, August 2006, ISBN 3-540-37446-9,
183 pages
- IAPR Newsletter article, Volume 27, Number 2, April
2005
Annual Reports
2007-08,
2006-07; 2005-06; 2004-05
Membership
TC-20 includes PRIB Committee, membership of which is open to the
participants of PRIB conferences.
The members of the TC-20 Committee
Members are by invitation by TC-20 Chairs. The TC-20 Committee Membership
has a world-wide representation and makes decisions on TC-20 activities.
TC-20 Committee
Members
PRIB
Committee Members
PRIB Secretariat is handled by Norhana Ahmad, BioInformatics Research
Center, Nanyang Technological University, Singapore. Email: prib@ntu.edu.sg
Enquiries on IAPR TC-20 or PRIB Membership
should be directed to the PRIB Secretariat.
IAPR Homepage
|
