Saint: a lightweight integration environment for model annotation
نویسندگان
چکیده
UNLABELLED Saint is a web application which provides a lightweight annotation integration environment for quantitative biological models. The system enables modellers to rapidly mark up models with biological information derived from a range of data sources. AVAILABILITY AND IMPLEMENTATION Saint is freely available for use on the web at http://www.cisban.ac.uk/saint. The web application is implemented in Google Web Toolkit and Tomcat, with all major browsers supported. The Java source code is freely available for download at http://saint-annotate.sourceforge.net. The Saint web server requires an installation of libSBML and has been tested on Linux (32-bit Ubuntu 8.10 and 9.04).
منابع مشابه
Augmented Reality System and Maintenance of Oil Pumps
Qualification of employees who operate technological processes directly influences the safety of production. However, the employees’’ qualification cannot completely exclude human factor. Today, there are many technologies that can minimize or eliminate human factor impact on production safety ensuring. The augmented reality technology is an example of this technology. Nowadays, the augmented r...
متن کاملایجاد نیمه خودکار مشاپ های سازمانی با استفاده از توصیفات معنایی
Mashups are next generation of web applications. A mashup is a lightweight web application that is created by combining information or capabilities from more than one existing resources to deliver a new and integrated experience to the user. Mashups introduce a new class of integration techniques in enterprises for implementing situational applications (i.e. applications that come together to s...
متن کاملMultimedia Annotation: Comparability of Gloss Modalities and their Implications for Reading Comprehension
This study compared the effects of two annotation modalities on the reading comprehension of Iranian intermediate level EFL learners. The two experimental groups under study received treatment on 10 academic L2 reading passages under one of two conditions: One group received treatment on key words in the reading passages through a multimedia environment providing textual annotations. The second...
متن کاملDealing with Uncertainty in Lexical Annotation
We present ALA, a tool for the automatic lexical annotation (i.e. annotation w.r.t. a thesaurus/lexical resource) of structured and semi-structured data sources and the discovery of probabilistic lexical relationships in a data integration environment. ALA performs automatic lexical annotation through the use of probabilistic annotations, i.e. an annotation is associated to a probability value....
متن کاملFuzzy Neighbor Voting for Automatic Image Annotation
With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...
متن کامل