Corra (Label Free Quantitative Proteomics Tool for Generating Prioritized Inclusion List)

Quantitative proteomics holds great promise for biomarker discovery, thus a range of computational tools have been recently developed that allow for comparative protein abundance profiling. However, independently developed tools are typically difficult to mix and match and, in certain cases, are not appropriate for biomarker discovery approaches when analyzing large sample sets that cover a broad cross-section of patients or populations. We present a Corra Framework which enables the user to process a large pool of samples and to easily plug-in existing tools by using APML (Annotated Putative peptide Markup Language). APML is a proposed presentation of comparative protein expression profiling data format which can facilitate interoperability of existing and new LC-MS and statistical tools and processed data management.