Semantic Scholar Open Access 2020 37 sitasi

DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics

M. Midha D. Campbell C. Kapil U. Kusebauch M. Hoopmann +2 lainnya

Lihat Sumber DOI

Abstrak

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. Most data-independent acquisition (DIA) methods depend on mass spectral libraries for peptide identification but tools to assess library quality are lacking. Here, the authors develop DIALib- QC for the systematic evaluation and correction of spectral libraries.

Topik & Kata Kunci

Computer Science Medicine

Penulis (7)

M. Midha

D. Campbell

C. Kapil

U. Kusebauch

M. Hoopmann

Samuel L. Bader

R. Moritz

Format Sitasi

APA MLA BibTeX

Midha, M., Campbell, D., Kapil, C., Kusebauch, U., Hoopmann, M., Bader, S.L. et al. (2020). DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics. https://doi.org/10.1038/s41467-020-18901-y

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41467-020-18901-y

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 37×
Sumber Database: Semantic Scholar
DOI: 10.1038/s41467-020-18901-y
Akses: Open Access ✓