Tikira Temu

TL;DR: The Perseus software platform was developed to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data and it is anticipated that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.

TL;DR: An updated protocol covering the most important basic computational workflows for mass-spectrometry-based proteomics data analysis, including those designed for quantitative label-free proteomics, MS1-level labeling and isobaric labeling techniques is presented.

TL;DR: An expert annotation system aids the interpretation of the MS/MS spectra used for the identification of these peptide features and can be used to monitor a peptide feature used in label‐free quantification over many LC‐MS runs and visualize it with advanced 3D graphic models.

TL;DR: It is shown that replication of ICL-containing chromatin templates triggers recruitment of more than 90 DNA repair and genome maintenance factors, and CHROMASS enables rapid and unbiased time-resolved insights into the chromatin interaction dynamics of entire DNA repair pathways.

TL;DR: To enable mass spectrometry (MS)-based proteomic studies with poorly characterized organisms, a computational workflow for the homology-driven assembly of a non-redundant reference sequence dataset is developed and applied to assemble a reference database for the widely used model organism Xenopus laevis.