Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis Workflows

Post time 2024-4-30 20:37:36

journal：Journal of Proteome Research

Authors：An Staes; Teresa Mendes Maia; Sara Dufour; Robbin Bouwmeester; Ralf Gabriels; Lennart Martens; Kris Gevaert; Francis Impens; Simon Devos

Published date：--

DOI：10.1021/acs.jproteome.4c00048

PDF link：https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.4c00048

Article link：http://dx.doi.org/10.1021/acs.jproteome.4c00048

Article Source：American Chemical Society (ACS)。

Remark：

Post time 2024-4-30 20:37:37

: This post has been completed
Completed attachments will be deleted within 24 hours.

[ACS] Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis Workflows

Best Answer

Same Category

Latest Reply

Announcement

Enthusiastic users today

[ACS] Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis Workflows Copy

Best Answer

Same Category

Latest Reply

Announcement

Enthusiastic users today

[ACS] Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis Workflows