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 …
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 …
computational proteomics research, even though the notions it conveys are essential to …
Significance estimation for large scale metabolomics annotations by spectral matching
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 …
of fragment spectra to reference library spectra. While various spectrum-spectrum match …
Pyteomics 4.0: five years of development of a python proteomics framework
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 …
experimental or data-processing workflows. The latter are implemented and published in a …
False discovery rate: the Achilles' heel of proteogenomics
Proteogenomics refers to the integrated analysis of the genome and proteome that
leverages mass-spectrometry (MS)-based proteomics data to improve genome annotations …
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 …
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
In bottom-up discovery proteomics, target–decoy competition (TDC) is the most popular
method for false discovery rate (FDR) control. Despite unquestionable statistical …
method for false discovery rate (FDR) control. Despite unquestionable statistical …
Improving peptide-level mass spectrometry analysis via double competition
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 …
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
Shotgun proteomics workflows for database protein identification typically include a
combination of search engines and postsearch validation software based mostly on …
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
Proteome-wide analyses rely on tandem mass spectrometry and the extensive separation of
proteolytic mixtures. This imposes considerable instrumental time consumption, which is one …
proteolytic mixtures. This imposes considerable instrumental time consumption, which is one …