© 2018

Bioinformatics and the Cell

Modern Computational Approaches in Genomics, Proteomics and Transcriptomics


  • First book with comprehensive numerical illustration of mathematical techniques and computational algorithms used in bioinformatics to convert the rapidly increasing molecular data into organized biological knowledge

  • Focus on interactions among DNA, RNA and proteins in the cell

  • This book should appeal not only to biologists, but also to mathematicians, biostatisticians, and computational scientists, especially those younger ones with an ambition to conquer the rough terrain of bioinformatics


Table of contents

About this book


This second edition integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to current research problems in molecular and cellular biology. This broad, unified approach is made possible, in large part, by the very wide scope of Dr. Xia’s own research experience. The integration of genomics, proteomics and transcriptomics into a single volume makes this book required reading for anyone entering the new and emerging field of Systems Biology.


Proteomics DNA replication translation Sequence alignment interdisciplinary training Protein Separation

Authors and affiliations

  1. 1.University of Ottawa CAREG and Biology DepartmentOttawaCanada

About the authors

Dr. Xuhua Xia obtained his PhD in population biology at University of Western Ontario in 1990 and made his entry into molecular evolution and phylogenetics at University of Washington in 1993. He was recruited by University of Hong Kong in 1996 as an assistant professor, and served as a senior scientist and the founding head of the Bioinformatics Laboratory of HKU-Pasteur Research Centre. Dr. Xia joined University of Ottawa in 2002 where he is cross-appointed to both Biology Department and the School of Information Technology Engineering. He is an active member in the Center for Advanced Research in Environmental Genomics and the Ottawa Institute of Systems Biology. 

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