XML for Bioinformatics [electronic resource] /by Ethan Cerami.
by Cerami, Ethan [author.]; SpringerLink (Online service).
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BookPublisher: New York, NY : Springer New York, 2005.Description: XV, 304 p. online resource.ISBN: 9780387274782.Subject(s): Computer science | Computer network architectures | Software engineering | Coding theory | Bioinformatics | Computer Science | Programming Languages, Compilers, Interpreters | Special Purpose and Application-Based Systems | Computer Systems Organization and Communication Networks | Coding and Information Theory | BioinformaticsDDC classification: 005.13 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| QA76.76.C65 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | QA76.7-76.73 (Browse shelf) | Available |
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to XML for Bioinformatics -- Fundamentals of XML and BSML -- DTDs for Bioinformatics -- XML Schemas for Bioinformatics -- Parsing NCBI XML in Perl -- The Distributed Annotation System (DAS) -- Parsing DAS Data with SAX -- Parsing DAS Data with JDOM -- Web Services for Bioinformatics.
XML, or Extensible Markup Language, is rapidly becoming a critical tool in bioinformatics and biological data exchange. XML is currently used to represent a diverse set of biological data, from nucleotide and protein sequences to protein-protein interactions and signal transduction pathways. XML is also used in a wide array of bioinformatics applications, including stand-alone applications, federated database systems, distributed applications, and web services. The goal of XML for Bioinformatics is to provide a solid introduction to the emerging use of XML in the field of bioinformatics. It assumes no prior knowledge of XML, and illustrates all core concepts with specific bioinformatics examples and case studies. Core XML concepts include: fundamentals of XML, Document Type Definitions (DTDs), XML Namespaces, XML Schema, XML parsing in Perl and Java, web services and SOAP. Examples and case studies are drawn from a wide range of bioinformatics applications, including the Bioinformatic Sequence Markup Language (BSML), NCBI E-Fetch, the Distributed Annotation System (DAS), and the National Cancer Institute Cancer Bioinformatics Infrastructure Objects (caBIO) project. A companion web site, available at: http://www.xmlbio.org/, provides complete access to all examples in the book.
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