Resources and Tools
Here is a partial list of bioinformatics tools created
by our faculty members and students. If you wish to have a tool
included in the list, please contact wongls@comp.nus.edu.sg.
Online services will be available from our
online server
soon.
Tools from David Hsu's Projects
Protein Structure and Protein Motion
- pFlexAna analyzes two protein structures in differing
conformations and accurately determines residues involved in
conformational change.
RECOMB07 Paper /
Server /
Project Homepage
Tools from Kian Lee Tan's Projects
Protein Structure Comparison and Database Search
- MatAlign is a protein structure alignment method.
It is more accurate that DALI and CE in a majority of test cases. It is
about 2-3 times faster than DALI, and is about same speed as CE.
JBCB Paper (2006) /
Software /
Project Homepage
- ProtDex2 is a rapid 3D protein structure retrieval
system. It is much faster than TopScan and yet comparable accuracy.
Bioinformatics Paper (2004) /
Software /
Project Homepage
- ProtClass is a method for automatic classification of
3D protein structures. It is more accurate than CPMine. It is slightly
less accurate than DALI, but a lot faster.
JCB Paper (2005) /
Software /
Project Homepage
Tools from Anthony Tung's Projects
Gene Expression Mining
- CARPENTER is a closed pattern mining algorithm
that is specially catered to mine tables with large number of columns
(10,000-100,000) and small number of rows (200-1000) using a concept
call row enumeration or samle enumeration under the gene expression context. /
KDD03 Paper /
Project Homepage
- TopkIRG is an efficient rule extraction
and classifier construction algorithm that find top-k covering
rules for each row/sample in the gene expression in order to
construct a highly accurate rule-based classifier. /
SIGMOD05 Paper /
Project Homepage
- RegMiner is a gene clustering algorithm
that group coherent genes together even if they are shifted and
scaled version of a common pattern. /
ICDE06 Paper /
Project Homepage
Tools from Limsoon Wong's Projects
Protein Function Prediction
- FSWeight (V2.1) is a software for inferring
the function of proteins based on its indirect interaction partners.
Its sensitivity and precision are superior to Neighbour Counting,
Chi2, PRODISTIN, Functional Flow, and Markov Random Field approaches.
It can also be used for ranking the reliability of individual protein
interactions.
Source Codes /
Bioinformatics Paper (2006) /
BMC Paper (2007) /
GIW06 Paper /
Project Homepage
- FSWeight (V2.2) is a software for
extensive integration of diverse
biological data for protein function prediction.
It is more efficient and is also more sensitive and
precise than a number of earlier data fusion methods
for protein function prediction.
It also subsumes all the features of V2.1.
Source Codes /
Bioinformatics Paper (2007) /
Project Homepage
Protein Complex Prediction
- Protein Complex Prediction, PCP (V1.0),
is a software to predict protein complexes from protein interaction
data. Its sensitivity and precision are slightly superior to
RNSC and MCL; and its efficiency is considerably better.
Source Codes /
CSB07 Paper /
Project Homepage
- Clustering based on Maximal Cliques, CMC (V2.0),
is a software to predict protein complexes from protein interaction
data. Its sensitivity and precision are superior to CFinder, MCL,
MCode, PCP, etc.
Source Codes /
Bioinformatics Paper (2009) /
Project Homepage
DNA Feature Recognition
- TIS Miner is a server for recognizing protein
translation initiation sites from genomic DNA sequences. Its sensitivity is
about 92% and specificity is about 96%.
Server /
JBCB Paper (2003) /
Project Homepage
- Poly(A) Signal Miner is a server for predicting
poly(A) signal in human DNA sequences. Its sensitivity is about 84%
and specificity is about 72%.
Server /
GIW03 Paper /
Project Homepage
- Sirius PSB is a software package for creating
accurate classifiers of functional sites in DNA/protein sequences.
As a demo of the package, we have generated the Sirius PSB server for
predicting protein subcellular location (~90% accuracy) and for
predicting Arabidopsis polyadenylation sites (~97% sensitivity and
~97% specificity).
Server /
Project Homepage
Lab Coordinator: Limsoon Wong /
Last updated: 27 May 2009