Deep learning methods for de novo peptide sequencing
W Bittremieux, V Ananth, WE Fondrie… - Mass Spectrometry …, 2024 - Wiley Online Library
Protein tandem mass spectrometry data are most often interpreted by matching observed
mass spectra to a protein database derived from the reference genome of the sample being …
mass spectra to a protein database derived from the reference genome of the sample being …
A learned score function improves the power of mass spectrometry database search
Motivation One of the core problems in the analysis of protein tandem mass spectrometry
data is the peptide assignment problem: determining, for each observed spectrum, the …
data is the peptide assignment problem: determining, for each observed spectrum, the …
Communicating mass spectrometry quality information in mzQC with Python, R, and Java
C Bielow, N Hoffmann… - Journal of the …, 2024 - ACS Publications
Mass spectrometry is a powerful technique for analyzing molecules in complex biological
samples. However, inter-and intralaboratory variability and bias can affect the data due to …
samples. However, inter-and intralaboratory variability and bias can affect the data due to …
Detecting Human Contaminant Genetically Variant Peptides in Nonhuman Samples
F Chu, A Lin - Journal of Proteome Research, 2025 - ACS Publications
During proteomics data analysis, experimental spectra are searched against a user-defined
protein database consisting of proteins that are reasonably expected to be present in the …
protein database consisting of proteins that are reasonably expected to be present in the …
[PDF][PDF] From data to discovery: The essential role of computational tools in proteomics
W Bittremieux - Proteomics.-Weinheim, 2024 - repository.uantwerpen.be
In the ever-evolving landscape of scientific inquiry, the saying “software is eating the world,”
popularized in Silicon Valley over a decade ago, rings truer than ever before. This aphorism …
popularized in Silicon Valley over a decade ago, rings truer than ever before. This aphorism …