Perseus — computational platform for comprehensive statistical analysis of quantitative proteomics data. Companion to MaxQuant, Perseus provides an interactive workflow environment for processing prot
Use with AI
Install the MCP server or CLI to instantly fetch Perseus documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/perseus
Use when working with nf-core/differentialabundance — a reproducible Nextflow pipeline for differential abundance analysis of count data from RNA-seq, ATAC- seq, proteomics, or any feature-by-sample c
2 shared topics • 2 shared operations
Bambi (BAyesian Model-Building Interface) is a high-level Python package for fitting Bayesian generalized linear and generalized linear mixed models using a concise, R-style Wilkinson formula syntax.
2 shared topics • 1 shared operation
Boltz-1 — open-source deep learning model for predicting biomolecular 3D structures and interactions, approaching AlphaFold3-level accuracy. Supports protein, DNA, RNA, and small-molecule ligand struc
2 shared topics • 1 shared operation
Gnina — deep learning molecular docking program built on AutoDock Vina. Uses convolutional neural networks (CNNs) to rescore protein-ligand poses for improved binding pose prediction and virtual scree
2 shared topics • 1 shared operation
MaxQuant — quantitative proteomics platform for analyzing large-scale mass spectrometry data. Integrates the Andromeda search engine for peptide identification, supports label-free quantification (LFQ
2 shared topics • 1 shared operation