BIOINFORMATICS FOR GLYCOMICS CHALLENGE PROJECT FOR FIRST YEAR GRADUATE STUDENTS

一年级研究生的糖组学挑战项目生物信息学

• 批准号: 8365571
• 负责人: JOSEPH ZAIA
• 金额: $ 0.92万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2012-08-09
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8365571
• 关键词: Bioinformatics; Biology; Boston; Computer software; Data; Data Set; Funding; Grant; Mass Spectrum Analysis; Medicine; National Center for Research Resources; Polysaccharides; Principal Investigator; Research; Research Infrastructure; Resources; Signal Transduction; Source; Students; Trichechus; United States National Institutes of Health; Universities; Visual; Work; cost; graduate student; liquid chromatography mass spectrometry; programs; software development; user-friendly

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The Boston University Bioinformatics Program requires first year graduate students to participate in year-long "Challenge Projects" in which they work with academic collaborators on significant bioinformatics problems. During the 2009-10 academic year, Prof. Zaia participated in such a project concerning developing software for targeted analysis of glycomics liquid chromatography mass spectrometry data sets. This effort resulted in a program called Manatee for targeted analysis of LC/MS data sets (1). During the 2010-11 year, the work was continued with a second team of first year graduate students. These students are developing a means of scoring deconvoluted LC/MS data acquired on glycans. Such scoring will rank deconvoluted MS signals to facilitate assignment of glycan compositions. In addition, the software will provide a means of generating targeted glycan composition lists to facilitate interpretation and will include a user friendly visual interface.

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 波士顿大学生物信息学项目要求一年级的研究生参加为期一年的“挑战项目”，在这些项目中，他们与学术合作者就重大的生物信息学问题展开合作。在2009-10学年，Zaia教授参与了这样一个项目，该项目涉及开发用于糖组分液相色谱质谱数据集目标分析的软件。这一努力导致了一个名为Manatee的程序，用于对LC/MS数据集进行有针对性的分析(1)。 在2010-11年度，第二批一年级研究生继续开展这项工作。这些学生正在开发一种方法来对从多糖上获得的去卷曲LC/MS数据进行评分。这样的评分将对去卷曲的MS信号进行排序，以便于分配多糖成分。此外，该软件将提供一种生成目标多糖组成列表的方法，以便于解释，并将包括一个用户友好的可视界面。