Literature DB >> 12176844

XEMBL: distributing EMBL data in XML format.

Lichun Wang1, Jean-Jack Riethoven, Alan Robinson.   

Abstract

UNLABELLED: Data in the EMBL Nucleotide Sequence Database is traditionally available in a flat file format that has a number of known shortcomings. With XML rapidly emerging as a standard data exchange format that can address some problems of flat file formats by defining data structure and syntax, there is now a demand to distribute EMBL data in an XML format. XEMBL is a service tool that employs CORBA servers to access EMBL data, and distributes the data in XML format via a number of mechanisms. AVAILABILITY: Use of the XEMBL service is free of charge at http://www.ebi.ac.uk/xembl/, and can be accessed via web forms, CGI, and a SOAP-enabled service. SUPPLEMENTARY INFORMATION: Information on the EMBL Nucleotide Sequence Database is available at http://www.ebi.ac.uk/embl/. The EMBL Object Model is available at http://corba.ebi.ac.uk/models/. Information on the EMBL CORBA servers is at http://corba.ebi.ac.uk/

Mesh:

Year:  2002        PMID: 12176844     DOI: 10.1093/bioinformatics/18.8.1147

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data.

Authors:  Daniel S Marcus; Timothy R Olsen; Mohana Ramaratnam; Randy L Buckner
Journal:  Neuroinformatics       Date:  2007

2.  OnionTree XML: a format to exchange gene-related probabilities.

Authors:  Alexander Favorov; Dmitrijs Lvovs; William Speier; Giovanni Parmigiani; Michael F Ochs
Journal:  J Biomol Struct Dyn       Date:  2011-10

Review 3.  No wisdom in the crowd: genome annotation in the era of big data - current status and future prospects.

Authors:  Antoine Danchin; Christos Ouzounis; Taku Tokuyasu; Jean-Daniel Zucker
Journal:  Microb Biotechnol       Date:  2018-05-28       Impact factor: 5.813

4.  On the way to building an integrated computational environment for the study of developmental patterns and genetic diseases.

Authors:  Andrei L Turinsky; Christoph W Sensen
Journal:  Int J Nanomedicine       Date:  2006
  4 in total

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