Proteins are the key biological actors within cells, driving many biological processes integral
to both healthy and diseased states. Understanding the depth of complexity represented …

Computational proteomics is the data science concerned with the identification and
quantification of proteins from high-throughput data and the biological interpretation of their …

Background The detection of physiologically relevant protein isoforms encoded by the
human genome is critical to biomedicine. Mass spectrometry (MS)-based proteomics is the …

X! TandemPipeline is a software designed to perform protein inference and to manage
redundancy in the results of phosphosite identification by database search. It provides the …

Metaproteomics has matured into a powerful tool to assess functional interactions in
microbial communities. While many metaproteomic workflows are available, the impact of …

Statistically, accurate protein identification is a fundamental cornerstone of proteomics and
underpins the understanding and application of this technology across all elements of …

Endodontic microbiology deals with the study of the microbial aetiology and pathogenesis of
pulpal and periradicular inflammatory diseases. Research in endodontic microbiology …

Introduction: The study of microbial communities based on the combined analysis of
genomic and proteomic data–called metaproteogenomics–has gained increased research …

The advent of soft ionization mass spectrometry‐based proteomics in the 1990s led to the
development of a new dimension in biology that conceptually allows for the integral analysis …

In quantitative mass spectrometry, the method by which peptides are grouped into proteins
can have dramatic effects on downstream analyses. Here we describe gpGrouper, an …