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MAPI:用于分布式生物医学应用的软件框架。

MAPI: a software framework for distributed biomedical applications.

作者信息

Karlsson Johan, Trelles Oswaldo

机构信息

Computer Architecture Department, University of Málaga, Complejo Tecnológico, Campus de Teatinos, Málaga, 29080, Spain.

出版信息

J Biomed Semantics. 2013 Jan 11;4(1):4. doi: 10.1186/2041-1480-4-4.

Abstract

BACKGROUND

The amount of web-based resources (databases, tools etc.) in biomedicine has increased, but the integrated usage of those resources is complex due to differences in access protocols and data formats. However, distributed data processing is becoming inevitable in several domains, in particular in biomedicine, where researchers face rapidly increasing data sizes. This big data is difficult to process locally because of the large processing, memory and storage capacity required.

RESULTS

This manuscript describes a framework, called MAPI, which provides a uniform representation of resources available over the Internet, in particular for Web Services. The framework enhances their interoperability and collaborative use by enabling a uniform and remote access. The framework functionality is organized in modules that can be combined and configured in different ways to fulfil concrete development requirements.

CONCLUSIONS

The framework has been tested in the biomedical application domain where it has been a base for developing several clients that are able to integrate different web resources. The MAPI binaries and documentation are freely available at http://www.bitlab-es.com/mapi under the Creative Commons Attribution-No Derivative Works 2.5 Spain License. The MAPI source code is available by request (GPL v3 license).

摘要

背景

生物医学领域基于网络的资源(数据库、工具等)数量不断增加,但由于访问协议和数据格式的差异,这些资源的综合使用较为复杂。然而,分布式数据处理在多个领域正变得不可避免,尤其是在生物医学领域,研究人员面临着数据量迅速增长的问题。由于需要大量的处理、内存和存储容量,这些大数据难以在本地进行处理。

结果

本文描述了一个名为MAPI的框架,它为互联网上可用的资源,特别是网络服务,提供了统一的表示形式。该框架通过实现统一的远程访问,增强了它们的互操作性和协作使用。框架功能按模块组织,可以以不同方式进行组合和配置,以满足具体的开发需求。

结论

该框架已在生物医学应用领域进行了测试,它是开发多个能够集成不同网络资源的客户端的基础。MAPI二进制文件和文档可在http://www.bitlab-es.com/mapi上免费获取,遵循知识共享署名-非衍生作品2.5西班牙许可协议。MAPI源代码可根据请求提供(GPL v3许可协议)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e720/3558448/80815dce1302/2041-1480-4-4-1.jpg

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