Mega 2: Manipulation Environment for Genetic Analyses

Mega 2：遗传分析的操作环境

• 批准号: 7578260
• 负责人: Daniel E Weeks
• 金额: $ 17.59万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2010-12-12
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7578260
• 关键词: Automation; Bioinformatics; Case-Control Studies; Classification; Code; Communities; Complex; Computational Biology; Computer software; Country; Data; Data Set; Data Storage and Retrieval; Databases; Development; Diagnostic; Documentation; Environment; Family; Feedback; Genetic; Genetic Processes; Genetic Research; Genome Scan; Healthcare; Hereditary Disease; Imagery; Individual; Institution; Maintenance; Maps; Output; Performance; Plug-in; Predisposition; Process; Reading; Research Personnel; Research Project Grants; Resources; Role; Running; Science; Software Engineering; Source; Speed; Testing; Validation; base; computer program; data acquisition; data management; design; evaluation/testing; file format; flexibility; gene discovery; genetic analysis; human disease; improved; innovation; meetings; open source; portability; programs; software development; statistics; tool; usability

Mega2, the Manipulation Environment for Genetic Analysis, is a unique computer program for facilitating the creation of analysis-ready datasets from data gathered as part of a genetic study. Mega2 transparently allows users to process genetic data for family-based or case/control studies accurately and efficiently. In addition to data validation checks, Mega2 provides analysis setup capabilities for a broad choice of commonly-used genetic analysis programs. It has served an important role in the genetics research community worldwide. Under this proposal, we plan to make Mega2 a powerful open-source application with highly enhanced capabilities, while applying best practices in software engineering to meet these critical needs of an open-source project: portability across OS platforms, ability to evolve with the needs of genetics research, extensive documentation, maximizing code reuse, as well as systematic testing, debugging and maintenance. Specifically, we plan to significantly improve Mega2's usability, data input handling capabilities, its abilities to set up target analyses, and its graphical presentation and storage of data statistics, diagnostics, and results. We will also develop an Application Programming Interface and improved documentation and tutorials. Mega2 has been used to accelerate gene discovery studies for a large list of complex human diseases. Improving this crucial resource will have a significant impact on speeding up the gene-discovery process, which in turn will ease the healthcare burden due to complex genetic disease in the US and world-wide. Relevance: Mega2 is used in many different studies of the genetics of complex human diseases, enabling researchers to swiftly change file formats and prepare files for statistical analysis and transparently processing genetic data accurately and efficiently. As such, Mega2 has and will continue to markedly accelerate the mapping and identification of susceptibility loci for complex human diseases.

Mega2是用于遗传分析的操纵环境，是一个独特的计算机程序，用于促进 作为遗传研究的一部分收集的数据创建准备就绪的数据集。 Mega2透明 允许用户准确有效地处理基于家庭或病例/控制研究的遗传数据。在 除了数据验证检查外，MEGA2提供了分析设置功能 常用的遗传分析计划。它在遗传学研究中起着重要作用 全球社区。根据此提案，我们计划将MEGA2作为强大的开源应用程序 高度增强的功能，同时在软件工程中采用最佳实践来满足这些关键 开源项目的需求：跨操作系统平台的可移植性，满足遗传学需求的能力 研究，广泛的文档，最大化代码重用以及系统的测试，调试和 维护。具体来说，我们计划显着提高MEGA2的可用性，数据输入处理功能， 它可以设置目标分析的能力及其图形显示和数据统计的存储， 诊断和结果。我们还将开发一个应用程序编程界面并改进 文档和教程。 MEGA2已用于加速基因发现研究，以供大量清单 复杂的人类疾病。改善这种关键资源将对加速加速产生重大影响 基因发现过程，这反过 我们和全球。 相关性：MEGA2用于对复杂人类疾病的遗传学的许多不同研究，使得 研究人员迅速更改文件格式并准备文件进行统计分析并透明 准确有效地处理遗传数据。因此，Mega2拥有并将继续显着 加速对复杂人类疾病的易感基因座的映射和鉴定。