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The Bandle package enables the analysis and visualisation of differential

A tool that enables in silico identification, integration, and modeling

protein-protein interactions. The output would facilitate non-specific background

NormalyzerDE provides screening of normalization methods for LC-MS based

The package pRolocGUI comprises functions to interactively visualise spatial proteomics

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

Bayesian priors to increase power to detect differentially abundant proteins.

CPSM provides a comprehensive computational pipeline for predicting survival probability

recoup calculates and plots signal profiles created from short sequence

protein-protein interactions), by including network-based regularizers. glmSparseNet uses

Create, handle, validate, visualize and convert networks in the Cytoscape

protein-coding genes, followed by enrichment analysis. Results can be visualized

High-throughput omics data are often affected by systematic biases

protein domain-based approach and; iii. synteny detection using synteny

Infrastructure to store and manage all aspects related to a

protein schematics from Uniprot API output. From the JSON returned

Computes Multiple Co-Inertia Analysis (MCIA), a dimensionality reduction (jDR

MAPFX is an end-to-end toolbox that pre-processes

This package provides functions for the analysis of data generated

Defines a S4 class that is based on SingleCellExperiment. In

protein motif analysis and visualization in R. PMScanR facilitates the identification

protein binding signals from ChIP-seq and sequence motif information

protein expression, pathway activity, etc.), based on the union occurence

proteins with potential clinical associations. From CNA and RNA-seq data

We present a statistical simulator, scDesign3, to generate realistic single

Protein coding genes from a list of candidates. Systematically download

protein sequences and classify them based on their modes of duplication

The TMSig package contains tools to prepare, analyze, and visualize

protein abundance compared to conventional aggregation methods. This algorithm employs

proteins in flow and mass cytometry data while reducing biases

protein sequences and analyze them. Anchor pairs are detected with

protein partners play a key role in fertility and maintaining

Coralysis is an R package featuring a multi-level integration

protein properties and visualizes position of peptide immunogens within protein

protein markers at the single-cell level, producing high dimensional

A molecular informatics toolkit with an integration of bioinformatics and

protein). HERON also calculates significance on the probe, epitope, and protein

proteins in LC-MS/MS proteomics data. This test detects

The 'funOmics' package ggregates or summarizes omics data into higher

protein-protein interactions as priors for gene co-expression, netsmooth

proteins at either bulk level or cell type level can be integrated

tidyFlowCore bridges the gap between flow cytometry analysis using the

protein products). The network is scanned using SConES, which looks

This package consolidates a comprehensive set of information measurements, encompassing

protein coding genes. FGGA embodies elements of predicate logic, communication

An upgraded causal reasoning tool from Melas et al in

protein-protein interactions (HP-PPIs) using structural and physicochemical descriptors

proteins, arranged such that the probability that gene products participate

protein sequence data and classify them into families and subfamilies

magrene allows the identification and analysis of graph motifs in