Java for Bioinformatics and Biomedical Applications

  • Harshawardhan Bal
  • Johnny Hujol

About this book

Introduction

Java for Bioinformatics and Biomedical Applications describes the work of the U.S. National Cancer Institute (NCI, National Institutes of Health, U.S. Department of Health and Human Services) and a large number of cancer centers across the U.S. under the caBIG™ (cancer Biomedical Informatics Grid) program, as well as standard bioinformatics applications. The goal of NCI caBIG™ is to create a standards based, interoperable network of individuals, applications and data to enhance the pace of cancer research. CaBIG™ uses J2EE and open source standards for all software development work.  This book examines the tools and technologies being developed under caBIG™ to meet the goal of eliminating suffering and death from cancer by 2015 as formulated by the former NCI Director, Dr. Andrew von Eschenbach.In doing so, it provides a vignette into the efforts of thousands of people – molecular biologists, medical practitioners, software developers, to name a few - across the country to bring the promise of translational research to individuals with cancer.

From a software perspective, a functional approach is used to teach the Java platform and its features for enterprise-level application development. Under this approach, the various syntactical and operative elements of the language and any software libraries that have been used (for example, BioJava, Apache, etc.) are taught not in isolation but in the context of discrete definable research problems that enable the user to relate how the different parts of the language fit together in the big picture. All examples are derived from practical problems faced in biomedical/clinical data retrieval and analysis during routine bioinformatics and cancer research. Further, the book illustrates how individual bioinformatics applications (such as BLAST and Genscan) can be stitched together into a pipeline so that users can direct the output of one tool (for example, gene predictions using Genscan) to perform further analysis (say, homology searching using BLAST).

Keywords

Bioinformatics Cancer research Health informatics Java SDK JavaServer Pages Molecular medicine National Center for Biotechnology Information PubMed Servlets biology biomedical application biomedical applications biomedical informatics biotechnology genome

Authors and affiliations

  • Harshawardhan Bal
    • 1
  • Johnny Hujol
    • 2
  1. 1.Booz Allen Hamilton, Inc.Rockville
  2. 2.Vertex Pharmaceuticals, Inc.Cambridge

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-37237-2
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-0-387-37235-8
  • Online ISBN 978-0-387-37237-2
  • About this book