XML 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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cerami, Ethan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Temas:
Compilers (Computer programs).
Computers, Special purpose.
Computer engineering.
Computer networks .
Coding theory.
Information theory.
Bioinformatics.
Compilers and Interpreters.
Special Purpose and Application-Based Systems.
Computer Engineering and Networks.
Coding and Information Theory.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XVI, 304 p. 59 illus. online resource.
ISBN:9780387274782

Ejemplares similares