DIA-NN: Neural networks and interference correction enable deep proteome coverage in high throughput
Sign Up to like & getrecommendations! Published in 2019 at "Nature methods"
DOI: 10.1038/s41592-019-0638-x
Abstract: We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and new quantification and signal correction strategies for the processing of data-independent acquisition (DIA) proteomics experiments. DIA-NN improves the identification and quantification… read more here.
Keywords: deep proteome; neural networks; proteome coverage; correction ... See more keywords
Deep Proteome Profiling with Reduced Carryover Using Superficially Porous Microfabricated nanoLC Columns
Sign Up to like & getrecommendations! Published in 2022 at "Analytical Chemistry"
DOI: 10.1101/2021.11.28.470272
Abstract: In the field of LC-MS based proteomics, increases in sampling depth and proteome coverage have mainly been accomplished by rapid advances in mass spectrometer technology. The comprehensiveness and quality of data that can be generated… read more here.
Keywords: nanolc columns; profiling reduced; reduced carryover; superficially porous ... See more keywords