Cleaning out the Litterbox of Proteomic Scientists’ Favorite Pet: Optimized Data Analysis Avoiding Trypsin Artifacts - Schittmayer, Matthias; Fritz, Katarina; Liesinger, Laura; Griss, Johannes; Birner-Gruenberger, Ruth (Journal of proteome research, 2016)
Keywords: Amino Acid Sequence; Animals; autolysis; Brain Chemistry; Breast Neoplasms - chemistry; Cell Line; Chromatography, Liquid; data analysis; Data Interpretation, Statistical; Databases, Protein; Humans; Membrane Proteins - analysis; Membrane Proteins - chemistry; Mice; Neoplasm Proteins - analysis; Neoplasm Proteins - chemistry; Nerve Tissue Proteins - analysis; Nerve Tissue Proteins - chemistry; Peptide Fragments - analysis; peptides; Protein Structure, Secondary; Proteolysis; proteome; proteomics; Proteomics - methods; Saccharomyces cerevisiae - chemistry; Saccharomyces cerevisiae Proteins - analysis; Saccharomyces cerevisiae Proteins - chemistry; Tandem Mass Spectrometry; trypsin; Trypsin - chemistry; autolysis protected trypsin; database search; misassigned spectra; search space restriction; proteomics; false positives