Informatics tools for analysis of quantitative proteomics data

蛋白质组学的目标是在潜在的全基因组规模上表征细胞和组织中存在的蛋白质，通过识别与生物功能和疾病相关的蛋白质组的变化，为推进生物医学科学提供机会。然而，直到最近，它在很大程度上还是一门定性科学——蛋白质要么存在，要么不存在。目前正在实验室开发技术，包括那些支持这一竞标的技术，这些技术允许使用质谱作为分析技术对蛋白质水平的差异进行量化。不幸的是，以一种简单的方式处理这些信息的合适的软件工具对于学术团体来说并不容易获得，而且这些工具存在问题（它们特定于一种技术，难以使用，并且不能以标准格式写出结果以提交给数据库）。我们计划通过开发一个单一的软件解决方案来解决这个问题，该解决方案可以统一许多格式，并支持或加速该领域的数据捕获和分析

The science of proteomics aims to characterise the proteins present in cells and tissues on a potentially genome-wide scale, offering opportunities to advance biomedical science by identifying changes in the proteome linked to biological function and disease. However, until recently, it has been a largely qualitative science - a protein is either there or not. Techniques are now being developed in labs including those supporting this bid which allow differences in protein levels to be quantified using mass spectrometry as the analytical technique. Unfortunately, the appropriate software tools for processing this information in a simple manner are not readily available to academic groups, and those tools that are suffer from problems (they are specific to one technique, difficult to use, and don't write out the results in standard formats for submission to databases). We plan to address this by developing a single software solution which unifies many of the formats and enable or speed up data capture and analysis in this area