A Bayesian System for Modeling Promoter Structure: a Case Study of Histone Promoters

ACKNOWLEDGEMENTS I would like to express my sincere gratitude to my supervisor Professor Vladimir B Bajic for his invaluable guidance and providing me inspiration to work on the problems of this thesis. I am grateful to him for his patience, support and understanding in helping me balance my personal life with my research during my PhD. I have specially enjoyed the freedom given by him, which inculcated independent thinking in me in the field of Bioinformatics. It has been a pleasure working with him. My heartfelt gratitude to my supervisor Professor Limsoon Wong for his continued guidance, encouragement and support, particularly at the critical junctures. His quotes have been truly inspiring. With deep appreciation I would like to extend my warmest thanks to him. I would also like to extend my sincere thanks to Dr Rebecca A Ali for providing me invaluable guidance and support during the course of my Phd. I am also grateful to our German collaborators, Professor Detlef Doenecke and Professor Werner Albig, for providing useful information and guidance on histone genes. I am also thankful to my committee members Dr. Ken Sung and Dr. Roland Yap for providing me useful suggestions during my presentations. My sincere thanks to Brent Boerlage, Norsys Software Corp. for providing me Netica library free of charge. I am also grateful to my colleagues Sin Lam Tan, Vipin Narang, and Zhang Zhuo for being great supportive friends all along. I also thank School of Computing and Institute for Infocomm Research for supporting me for my studies. My sincere thanks to Professor Jun Liu and Department of Statistics at Harvard University for kindly supporting the end stages of my thesis work. Finally, I am thankful to my parents, wife Vidhu and son Advait "Google" for providing me moral support and for being patient with me.