scholarly article | Q13442814 |
P50 | author | Jan Rudolph | Q58189903 |
Jürgen Cox | Q88945373 | ||
P2860 | cites work | The human connectome: A structural description of the human brain | Q21145696 |
WGCNA: an R package for weighted correlation network analysis | Q21284194 | ||
Scale-free networks in cell biology | Q22306161 | ||
Cytoscape: a software environment for integrated models of biomolecular interaction networks | Q24515682 | ||
Significance analysis of microarrays applied to the ionizing radiation response | Q24606608 | ||
Network biology: understanding the cell's functional organization | Q27861027 | ||
A human interactome in three quantitative dimensions organized by stoichiometries and abundances | Q27936244 | ||
PhosphoSitePlus, 2014: mutations, PTMs and recalibrations | Q28254001 | ||
How does multiple testing correction work? | Q28267689 | ||
The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases | Q28660703 | ||
The BioGRID interaction database: 2017 update | Q28818109 | ||
MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification | Q29547200 | ||
Gene Ontology Consortium: going forward | Q29616846 | ||
A general framework for weighted gene co-expression network analysis | Q29617580 | ||
NetworKIN: a resource for exploring cellular phosphorylation networks | Q30002344 | ||
Phosphoproteomics in the Age of Rapid and Deep Proteome Profiling. | Q30354536 | ||
The Perseus computational platform for comprehensive analysis of (prote)omics data | Q31110953 | ||
Benchmarking substrate-based kinase activity inference using phosphoproteomic data | Q31162178 | ||
Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification | Q33754312 | ||
Quantitative proteomics combined with BAC TransgeneOmics reveals in vivo protein interactions | Q33861783 | ||
Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements | Q33910269 | ||
The BioPlex Network: A Systematic Exploration of the Human Interactome | Q34485581 | ||
Analysis of protein complexes using mass spectrometry | Q34642068 | ||
Cytoscape.js: a graph theory library for visualisation and analysis | Q35790798 | ||
Empirical inference of circuitry and plasticity in a kinase signaling network | Q35796180 | ||
mTOR regulates MAPKAPK2 translation to control the senescence-associated secretory phenotype | Q36110081 | ||
Elucidation of Signaling Pathways from Large-Scale Phosphoproteomic Data Using Protein Interaction Networks | Q36232229 | ||
The dynamic interactome and genomic targets of Polycomb complexes during stem-cell differentiation | Q37080505 | ||
Affinity-purification coupled to mass spectrometry: basic principles and strategies | Q38011666 | ||
CORUM: the comprehensive resource of mammalian protein complexes--2009 | Q38377952 | ||
The KSEA App: a web-based tool for kinase activity inference from quantitative phosphoproteomics | Q38706547 | ||
The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible | Q39125771 | ||
HIPPIE v2.0: enhancing meaningfulness and reliability of protein-protein interaction networks | Q39235654 | ||
Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse | Q47202657 | ||
Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research | Q49979420 | ||
Kinase-substrate enrichment analysis provides insights into the heterogeneity of signaling pathway activation in leukemia cells. | Q53114408 | ||
Clinical Proteomics of Breast Cancer Reveals a Novel Layer of Breast Cancer Classification | Q57461991 | ||
Protein correlation profiling-SILAC to study protein-protein interactions | Q87439236 | ||
MaxQuant goes Linux | Q88945375 | ||
P433 | issue | 5 | |
P304 | page(s) | 2052-2064 | |
P577 | publication date | 2019-04-10 | |
P1433 | published in | Journal of Proteome Research | Q3186939 |
P1476 | title | A Network Module for the Perseus Software for Computational Proteomics Facilitates Proteome Interaction Graph Analysis | |
P478 | volume | 18 |
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