The investigation of macromolecular biomolecules with ion mobility mass spectrometry (IM-
MS) techniques has provided substantial insights into the field of structural biology over the …

The scale of genetic, epigenomic, transcriptomic, cheminformatic and proteomic data
available today, coupled with easy-to-use machine learning (ML) toolkits, has propelled the …

Mass spectrometry (MS)-based proteomics aims to characterize comprehensive proteomes
in a fast and reproducible manner. Here we present the narrow-window data-independent …

Proteomics is the field of study that includes the analysis of proteins, from either a basic
science prospective or a clinical one. Proteins can be investigated for their abundance …

The use of multiple omics techniques (ie, genomics, transcriptomics, proteomics, and
metabolomics) is becoming increasingly popular in all facets of life science. Omics …

When it comes to precision oncology, proteogenomics may provide better prospects to the
clinical characterization of tumors, help make a more accurate diagnosis of cancer, and …

Data-independent acquisition mass spectrometry (DIA-MS) is a next generation proteomic
methodology that generates permanent digital proteome maps offering highly reproducible …

Comprehensive, reproducible and precise analysis of large sample cohorts is one of the key
objectives of quantitative proteomics. Here, we present an implementation of data …

Quantitative proteomics employing mass spectrometry is an indispensable tool in life
science research. Targeted proteomics has emerged as a powerful approach for …

The data-independent acquisition (DIA) approach has recently been introduced as a novel
mass spectrometric method that promises to combine the high content aspect of shotgun …