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资源简介：
High-quality labeled datasets for applying machine and deep learning to several tasks in MS based proteomics.
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创建时间：
2023-06-14
相关数据集
Top-Down Sequencing of O-Glycoproteins by In-Source Decay Matrix-Assisted Laser Desorption Ionization Mass Spectrometry for Glycosylation Site Analysis
The sites of mucin-type O-glycosylation are largely unpredictable, making structural analysis by mass spectrometry (MS) indispensible. On the peptide level, a site localization and characterization of
NIAID Data Ecosystem70
Full list of MTMR7-interacting proteins identified by LC-MS/MS.
Full list of MTMR7-interacting proteins identified by LC-MS/MS.
Figshare2025-07-10 更新50
Quantitative Phosphoproteomics and Acetylomics of Safranal Anticancer Effects in Triple-Negative Breast Cancer Cells
Safranal, as an aroma in saffron, is one of the cytotoxic compounds in saffron that causes cell death in triple-negative breast cancer cells. Our recent research reported the anti-cancer effects of sa
NIAID Data Ecosystem30
Data-independent Acquisition for the orbitrap. A tutorial.
Data-independent acquisition (DIA) is a powerful mass spectrometric technique to perform both protein identification and quantification of complex protein samples. Setting up DIA methods on Orbitrap a
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Human Arginine Methylome - Proteome-wide analysis of arginine monomethylation reveals widespread occurrence in human cells
Identification of arginine methylation sites in human HEK293 cells, yielding a total of >8.000 high-confident modification sites on >3.300 proteins
NIAID Data Ecosystem40
