Literature DB >> 22368254

SED-ED, a workflow editor for computational biology experiments written in SED-ML.

Richard R Adams1.   

Abstract

UNLABELLED: The simulation experiment description markup language (SED-ML) is a new community data standard to encode computational biology experiments in a computer-readable XML format. Its widespread adoption will require the development of software support to work with SED-ML files. Here, we describe a software tool, SED-ED, to view, edit, validate and annotate SED-ML documents while shielding end-users from the underlying XML representation. SED-ED supports modellers who wish to create, understand and further develop a simulation description provided in SED-ML format.
AVAILABILITY AND IMPLEMENTATION: SED-ED is available as a standalone Java application, as an Eclipse plug-in and as an SBSI (www.sbsi.ed.ac.uk) plug-in, all under an MIT open-source license. Source code is at https://sed-ed-sedmleditor.googlecode.com/svn. The application itself is available from https://sourceforge.net/projects/jlibsedml/files/SED-ED/.

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Mesh:

Year:  2012        PMID: 22368254     DOI: 10.1093/bioinformatics/bts101

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


  5 in total

1.  phraSED-ML: A paraphrased, human-readable adaptation of SED-ML.

Authors:  Kiri Choi; Lucian P Smith; J Kyle Medley; Herbert M Sauro
Journal:  J Bioinform Comput Biol       Date:  2016-09-30       Impact factor: 1.122

2.  LibKiSAO: a Java library for Querying KiSAO.

Authors:  Anna Zhukova; Richard Adams; Camille Laibe; Nicolas Le Novère
Journal:  BMC Res Notes       Date:  2012-09-24

Review 3.  Improving collaboration by standardization efforts in systems biology.

Authors:  Andreas Dräger; Bernhard Ø Palsson
Journal:  Front Bioeng Biotechnol       Date:  2014-12-08

4.  A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows.

Authors:  Pei-Chi Yang; Shweta Purawat; Pek U Ieong; Mao-Tsuen Jeng; Kevin R DeMarco; Igor Vorobyov; Andrew D McCulloch; Ilkay Altintas; Rommie E Amaro; Colleen E Clancy
Journal:  PLoS Comput Biol       Date:  2019-03-08       Impact factor: 4.475

5.  SBSI: an extensible distributed software infrastructure for parameter estimation in systems biology.

Authors:  Richard Adams; Allan Clark; Azusa Yamaguchi; Neil Hanlon; Nikos Tsorman; Shakir Ali; Galina Lebedeva; Alexey Goltsov; Anatoly Sorokin; Ozgur E Akman; Carl Troein; Andrew J Millar; Igor Goryanin; Stephen Gilmore
Journal:  Bioinformatics       Date:  2013-01-17       Impact factor: 6.937

  5 in total

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