Proteomics

Dataset Information

0

MaxDIA enables highly sensitive and accurate library-based and library-free data-independent acquisition proteomics (DDA data)


ABSTRACT: MaxDIA is a universal platform for analyzing data-independent acquisition proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves cutting-edge proteome coverage with significantly better coefficients of variation in protein quantification than other software. MaxDIA is equipped with accurate false discovery rate estimates on both library-to-DIA match and protein levels, also when using whole-proteome predicted spectral libraries. This is the foundation of discovery DIA – a framework for the hypothesis-free analysis of DIA samples without library and with reliable FDR control. MaxDIA performs three- or four-dimensional feature detection of fragment data and scoring of matches is augmented by machine learning on the features of an identification. MaxDIA’s novel bootstrap-DIA workflow performs multiple rounds of matching with increasing quality of recalibration and stringency of matching to the library. Combining MaxDIA with two new technologies, BoxCar acquisition and trapped ion mobility spectrometry, both lead to deep and accurate proteome quantification.

INSTRUMENT(S): 6410 Triple Quadrupole LC/MS, Q Exactive HF, QSTAR

ORGANISM(S): Homo Sapiens (human) Escherichia Coli Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Yasset Perez-Riverol  

LAB HEAD: Jurgen Cox

PROVIDER: PXD022582 | Pride | 2021-07-09

REPOSITORIES: Pride

altmetric image

Publications


MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves deep proteome coverage with substantially better coefficients of variation in protein quantification than other software. MaxDIA is equipped with accurate false discovery rate (FDR) estimates on both library-to-DIA match and protein levels, including when using whole-proteome predicted spectral libraries. This is the fo  ...[more]

Similar Datasets

2021-07-09 | PXD022589 | Pride
2023-05-10 | PXD036451 | Pride
2023-05-17 | PXD037870 |
2020-08-25 | PXD017639 | Pride
2023-08-21 | PXD039885 | Pride
2023-08-18 | PXD039343 | Pride
2022-08-12 | PXD034640 | Pride
2021-08-18 | PXD024584 | Pride
2024-09-17 | PXD051717 | Pride
2021-11-05 | MTBLS1311 | MetaboLights