title: Abacus: a computational tool for extracting and pre-processing spectral count data for label-free quantitative proteomic analysis.
abstract: We describe Abacus, a computational tool for extracting spectral counts from MS/MS data sets. The program aggregates data from multiple experiments, adjusts spectral counts to accurately account for peptides shared across multiple proteins, and performs common normalization steps. It can also output the spectral count data at the gene level, thus simplifying the integration and comparison between gene and protein expression data. Abacus is compatible with the widely used Trans-Proteomic Pipeline suite of tools and comes with a graphical user interface making it easy to interact with the program. The main aim of Abacus is to streamline the analysis of spectral count data by providing an automated, easy to use solution for extracting this information from proteomic data sets for subsequent, more sophisticated statistical analysis.
authors.affiliation: Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
authors.forename: Damian
authors.initials: D
authors.lastname: Fermin
authors.forename: Venkatesha
authors.initials: V
authors.lastname: Basrur
authors.forename: Anastasia K
authors.initials: AK
authors.lastname: Yocum
authors.forename: Alexey I
authors.initials: AI
authors.lastname: Nesvizhskii
mesh_terms: D057205:Automation, Laboratory; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D006801:Humans; D011506:Proteins / Q000032:analysis*; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein; D012984:Software; D053719:Tandem Mass Spectrometry
chemical_list: D011506:Proteins