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This R package supports the handling and analysis of imaging

proteins in a spatially-resolved fashion. These measurements can be visualised

protein identification, profile alignment and biomarker identification. Using Continuous Wavelet

mass spectrometry data to reliably infer protein sub-cellular localisation.

recoup calculates and plots signal profiles created from short sequence

A fast, convenient tool to identify the TSSs of miRNAs

icetea (Integrating Cap Enrichment with Transcript Expression Analysis) provides functions

isobar provides methods for preprocessing, normalization, and report generation for

protein levels that are independent of total mRNA levels (i.e. changes

bipartite graph of protein complex membership using AP-MS data.

protein pools in the samples and thus improve protein identification

protein abundance estimates varies by the number of peptides/PSMs quantified

proteins, metabolites) is much larger than the number of samples

proteins between two biological conditions. Three tests are available: Poisson

relative protein significance analysis in DDA, SRM and DIA experiments.

protein significance analysis. Provides functions for summarization, estimation of LiP peptide

proteins, as well as the integration of the quantification results

proteins in shotgun mass spectrometry-based proteomic experiments with tandem

detection of differentially expressed genes or proteins in these datasets.

A package for processing protein mass spectrometry data.

protein across multiple datasets. ProteoMM provides functionality for normalization, missing

protein binding sites (clusters) are then resolved at high resolution