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Java for Bioinformatics and Biomedical Applications - Harshawardhan Bal, Johnny Hujol

Java for Bioinformatics and Biomedical Applications

Buch | Softcover
342 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2007
Springer-Verlag New York Inc.
978-1-4419-4245-6 (ISBN)
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April 2006 Introduction Bioinformatics is at a crossroads. We work in a field that is changing every day, increasingly moving from specific solutions created by single researchers working alone or in small groups to larger, often geographically dispersed programs enabled by collaborative computing and open software. This book represents an important development, giving the reader an opportunity to discover how the use of open and reusable Java code can solve large bioinformatics problems in a software engineered and robust way. I work with one of the authors of this book every day, on the National Cancer Institute's cancer Biomedical Informatics Grid (caBIG™) project, and I can attest that they are well suited to share with their readers both their experience in the development and use of bioinformatics software, as well as their interest in solid software engineering and interoperability. Background and history In its short history, bioinformatics has become an increasingly important part of how scientists involved in biological research go about their work. This has lead to an explosion of interest in the subject, and a similar explosion in tools and data resources for researchers to learn and use in their work. Historically, tools for bioinformatics have been idiosyncratic and are custom-developed by the end-users (or those close to them) in an iterative fashion until the specific immediate problem is solved. This has led to a balkanization of informatics systems, sometimes yielding multiple, incompatible systems at a single institution for a single application.

to Bioinformatics and Java.- to Basic Local Alignment Search Tool.- Running BLAST using SwingBlast.- Facilitating PubMed Searches: JavaServer Pages and Java Servlets.- Creating a Gene Prediction and BLAST Analysis Pipeline.- cancer Biomedical Informatics Grid (caBIG™).

Erscheint lt. Verlag 29.10.2010
Zusatzinfo 16 Illustrations, color; 92 Illustrations, black and white; XVIII, 342 p. 108 illus., 16 illus. in color.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Weitere Themen Bioinformatik
Medizin / Pharmazie Gesundheitswesen
Medizin / Pharmazie Medizinische Fachgebiete Onkologie
Studium 1. Studienabschnitt (Vorklinik) Physiologie
Naturwissenschaften Biologie Biochemie
Naturwissenschaften Biologie Genetik / Molekularbiologie
ISBN-10 1-4419-4245-9 / 1441942459
ISBN-13 978-1-4419-4245-6 / 9781441942456
Zustand Neuware
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