During my time in academia, I have been part of a bunch of proteomics-related projects.
Here, I would like to write something brief and pedagogic about each.
Google scholar: https://scholar.google.com/citations?user=EbiYcocAAAAJ&hl=en&oi=ao
NormalyzerDE: https://pubs.acs.org/doi/abs/10.1021/acs.jproteome.8b00523
Patient-derived Xenograft models: https://aacrjournals.org/cancerres/article/78/20/5958/631856/Patient-Derived-Xenograft-Models-Reveal-Intratumor
Stable bull fertility markers in plasma: https://www.sciencedirect.com/science/article/pii/S1874391921000348
Identification of genes in field class: https://bmcgenomdata.biomedcentral.com/articles/10.1186/s12863-018-0624-9
Nematode RNA-seq: https://link.springer.com/article/10.1007/s10658-018-1474-z
Interactive proteogenomic exploration of response to Fusarium head blight: https://www.sciencedirect.com/science/article/abs/pii/S1874391920300567
Thesis: Interpretation of variation in omics data: https://lup.lub.lu.se/search/publication/a9c8da81-675d-4c24-9152-5e07fbdfb776
OmicLoupe: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04043-5