Choosing an Optimal Database for Protein Identification from Tandem Mass Spectrometry Data.

作者: Dhirendra Kumar , Amit Kumar Yadav , Debasis Dash

DOI: 10.1007/978-1-4939-6740-7_3

关键词:

摘要: Database searching is the preferred method for protein identification from digital spectra of mass to charge ratios (m/z) detected samples through spectrometers. The search database one major influencing factors in discovering proteins present sample and thus deriving biological conclusions. In most cases choice arbitrary. Here we describe common databases used proteomic studies their impact on final list identified proteins. We also elaborate upon like composition size that can influence process. conclusion, suggest depends type inferences be derived proteomics data. However, making additional efforts build a compact concise targeted question should generally rewarding achieving confident identifications.

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