Книга XML for Bioinformatics Ethan Cerami

XML for Bioinformatics

Автор: Ethan Cerami
Език: Английски език
Корици: С меки корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 8-11 дни
51.78 101.28 лв
XML for Bioinformatics aims to provide biologists, software engineers, and bioinformatics profession...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2010
страници
304
EAN
9781441919984
ISBN
1441919988
Enbook ID
01420879
Издател
Теглоt
572
Размери
170 x 17 x 17

Пълно описание

XML for Bioinformatics aims to provide biologists, software engineers, and bioinformatics professionals with a comprehensive introduction to XML and current XML applications in bioinformatics. The book will assume no background in XML, and take readers from basic to intermediate XML concepts. Core topics will include: fundamentals of XML, creating XML grammars, web services via SOAP, and parsing XML documents in Perl and Java.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: provides complete access to all examples in the book.

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