RESUMO
The analysis of protein mixtures by liquid chromatography-mass spectrometry (LCMS) requires tools for viewing and navigating LC-MS data, locating peptides in LC-MS data, and eliminating low-quality peptides. msInspect, an open source platform, can carry out these steps for single experiments and can align and normalize peptide features in comparative studies with multiple LC-MS runs. In addition, msInspect can analyze quantitative studies with and without isotopic labels to generate peptide arrays.
Assuntos
Cromatografia Líquida/estatística & dados numéricos , Espectrometria de Massas/estatística & dados numéricos , Proteômica/estatística & dados numéricos , Software , Algoritmos , Interpretação Estatística de Dados , Humanos , Peptídeos/análise , Análise Serial de Proteínas/estatística & dados numéricos , Proteoma/análiseRESUMO
The open-source Computational Proteomics Analysis System (CPAS) contains an entire data analysis and management pipeline for Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) proteomics, including experiment annotation, protein database searching and sequence management, and mining LC-MS/MS peptide and protein identifications. CPAS architecture and features, such as a general experiment annotation component, installation software, and data security management, make it useful for collaborative projects across geographical locations and for proteomics laboratories without substantial computational support.