DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics.
Mukul K MidhaDavid S CampbellMichal MaesUlrike KusebauchMichael R HoopmannSamuel L BaderRobert L MoritzPublished in: Nature communications (2020)
Data-independent acquisition (DIA) mass spectrometry, also known as Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH), is a popular label-free proteomics strategy to comprehensively quantify peptides/proteins utilizing mass spectral libraries to decipher inherently multiplexed spectra collected linearly across a mass range. Although there are many spectral libraries produced worldwide, the quality control of these libraries is lacking. We present the DIALib-QC (DIA library quality control) software tool for the systematic evaluation of a library's characteristics, completeness and correctness across 62 parameters of compliance, and further provide the option to improve its quality. We demonstrate its utility in assessing and repairing spectral libraries for correctness, accuracy and sensitivity.
Keyphrases
- quality control
- label free
- mass spectrometry
- optical coherence tomography
- dual energy
- liquid chromatography
- electronic health record
- big data
- computed tomography
- density functional theory
- capillary electrophoresis
- machine learning
- high resolution
- high performance liquid chromatography
- quality improvement
- contrast enhanced