Research

Research interest

Bioinformatics: detection of conserved sequence patterns, numerical representation of sequences

History: Geopolitics among Arab, China, Tibet and Turk during 6-8th century, Trade relation between Tibet and (British) India in early 20th century, religion evolution in Himalayan countries

Artificial intelligence: machine learning algorithms, clustering algorithms

Publication

The quality of a multiple sequence alignment can be evaluated by a position-specific and consistency-based objective function
Yi Wang, Tariq Riaz, Espen Enerly, Sheng Zeng and Kuo-bin Li
WSEAS Transaction on Biology and Biomedicine, Vol2/2 pp 147-157, 2005

Multiple Sequence Alignment using an Exhaustive and Greedy Algorithm
Yi Wang and Kuo-Bin Li
Journal of Bioinformatics and Computational Biology, Vol3/2 pp 243-255, 2005

A Tabu Search Algorithm for Post-processing Multiple Sequence Alignment
Tariq Riaz, Yi Wang and Kuo-Bin Li,
Journal of Bioinformatics and Computational Biology, Vol3/1 pp 145, 2005

An Adaptive and Iterative Algorithm for Refining Multiple Sequence Alignment
Yi Wang and Kuo-bin Li
Computational Biology and Chemistry, Vol 28/2 pp 141-148, 2004

An Adaptive Approach to Assemble Local Multiple Sequence Alignments
Yi Wang and Kuo-Bin Li
Submitted in March 2005

Conference

A Position-specific and Consistency-based Objective Function for Multiple Sequence Alignment
Yi Wang, Tariq Riaz, Espen Enerly, Sheng Zeng and Kuo-bin Li
6th WSEAS International Conference on Mathematics and Computers in Biology and Chemistry (MCBC'05), Buenos Aires, Argentina

Multiple Sequence Alignment using Tabu Search
Tariq Riaz, Yi Wang and Kuo-Bin Li,
The Second Asia-Pacific Bioinformatics Conference (APBC2004), Dunedin, New Zealand. CRPIT, 29. Chen, Y.-P. P., Ed. ACS. 223-232.

Poster of Adaptive and Iterative Algorithm for Multiple Sequence Alignment
Yi Wang and Kuo-Bin Li
Sixth Annual Conference on Computational Genomics 2003, Boston, MA, USA.

Presentation

COFFEE: an Objective Function for Multiple Sequence Alignment

An Adaptive and Iterative Approach for Multiple Sequence Alignment