This book, along with Beginning Perl for Bioinformatics, forms a basic course in Perl programming. Mastering Perl for Bioinformatics covers the core Perl language and many of its module extensions, presenting them in the context of biological data and problems of pressing interest to the biological community. Perl, with its highly developed capacities in string handling, text processing, networking, and rapid prototyping, has emerged as the programming language of choice for biological data analysis. But now, with access to vast amounts of biological data contained in public databases, programming skills are increasingly in strong demand in biology research and development.

Historically, programming hasn't been considered a critical skill for biologists. This paper summarises the importance of network access and database integration to biomedical research and gives a glimpse of current research conducted at BIC. The recently formed BioInformatics Centre (BIC) at the National University of Singapore (NUS) provides access to various commonly used computational tools available over the World Wide Web (BioKleisli, which allows you to interact with various geographically scattered, heterogeneous, structurally complex and constantly evolving data sources. For this the life sciences today needs tools in information technology and computation to prevent degeneration of this data into an inchoate accretion of unconnected facts and figures. The number of journals, reports and research papers and tools required for the analysis of these sequences has also increased. Other genome sequencing projects are also contributing substantially to this exponential growth in the number of DNA nucleotides and proteins sequenced. This has been particularly affected by the Human Genome Project which is trying to completely sequence three billion nucleotides of the human genome (1),(1a). There is burgeoning volume of information and data arising from the rapid research and unprecedented progress in molecular biology.

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