Paleoproteomics

C Warinner, K Korzow Richter, MJ Collins - Chemical reviews, 2022 - ACS Publications
Paleoproteomics, the study of ancient proteins, is a rapidly growing field at the intersection of
molecular biology, paleontology, archaeology, paleoecology, and history. Paleoproteomics …

Gentle introduction to the statistical foundations of false discovery rate in quantitative proteomics

T Burger - Journal of proteome research, 2018 - ACS Publications
The vocabulary of theoretical statistics can be difficult to embrace from the viewpoint of
computational proteomics research, even though the notions it conveys are essential to …

Significance estimation for large scale metabolomics annotations by spectral matching

K Scheubert, F Hufsky, D Petras, M Wang… - Nature …, 2017 - nature.com
The annotation of small molecules in untargeted mass spectrometry relies on the matching
of fragment spectra to reference library spectra. While various spectrum-spectrum match …

Pyteomics 4.0: five years of development of a python proteomics framework

LI Levitsky, JA Klein, MV Ivanov… - Journal of proteome …, 2018 - ACS Publications
Many of the novel ideas that drive today's proteomic technologies are focused essentially on
experimental or data-processing workflows. The latter are implemented and published in a …

False discovery rate: the Achilles' heel of proteogenomics

S Aggarwal, A Raj, D Kumar, D Dash… - Briefings in …, 2022 - academic.oup.com
Proteogenomics refers to the integrated analysis of the genome and proteome that
leverages mass-spectrometry (MS)-based proteomics data to improve genome annotations …

An analysis of proteogenomics and how and when transcriptome-informed reduction of protein databases can enhance eukaryotic proteomics

L Fancello, T Burger - Genome Biology, 2022 - Springer
Background Proteogenomics aims to identify variant or unknown proteins in bottom-up
proteomics, by searching transcriptome-or genome-derived custom protein databases …

Beyond target–decoy competition: stable validation of peptide and protein identifications in mass spectrometry-based discovery proteomics

Y Couté, C Bruley, T Burger - Analytical Chemistry, 2020 - ACS Publications
In bottom-up discovery proteomics, target–decoy competition (TDC) is the most popular
method for false discovery rate (FDR) control. Despite unquestionable statistical …

Improving peptide-level mass spectrometry analysis via double competition

A Lin, T Short, WS Noble, U Keich - Journal of Proteome …, 2022 - ACS Publications
The analysis of shotgun proteomics data often involves generating lists of inferred peptide-
spectrum matches (PSMs) and/or of peptides. The canonical approach for generating these …

Scavager: a versatile postsearch validation algorithm for shotgun proteomics based on gradient boosting

MV Ivanov, LI Levitsky, JA Bubis, MV Gorshkov - Proteomics, 2019 - Wiley Online Library
Shotgun proteomics workflows for database protein identification typically include a
combination of search engines and postsearch validation software based mostly on …

Boosting MS1-only proteomics with machine learning allows 2000 protein identifications in single-shot human proteome analysis using 5 min HPLC gradient

MV Ivanov, JA Bubis, V Gorshkov… - Journal of proteome …, 2021 - ACS Publications
Proteome-wide analyses rely on tandem mass spectrometry and the extensive separation of
proteolytic mixtures. This imposes considerable instrumental time consumption, which is one …