scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/nar/BroheeFLSJVDH08 |
P356 | DOI | 10.1093/NAR/GKN336 |
P932 | PMC publication ID | 2447721 |
P698 | PubMed publication ID | 18524799 |
P5875 | ResearchGate publication ID | 51401100 |
P50 | author | Jacques van Helden | Q38154212 |
Gipsi Lima-Mendez | Q57036316 | ||
Karoline Faust | Q57274131 | ||
P2093 | author name string | Olivier Sand | |
Yves Deville | |||
Sylvain Brohée | |||
Rekin's Janky | |||
Gilles Vanderstocken | |||
P2860 | cites work | Cytoscape: a software environment for integrated models of biomolecular interaction networks | Q24515682 |
The Gene Ontology project in 2008 | Q24649653 | ||
Network-based prediction of protein function | Q24670295 | ||
STRING 7--recent developments in the integration and prediction of protein interactions | Q24675384 | ||
Protein complexes and functional modules in molecular networks | Q24683305 | ||
Metabolic PathFinding: inferring relevant pathways in biochemical networks | Q24812861 | ||
A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae | Q27860755 | ||
A comprehensive two-hybrid analysis to explore the yeast protein interactome | Q27861093 | ||
Proteome survey reveals modularity of the yeast cell machinery | Q27929510 | ||
Global landscape of protein complexes in the yeast Saccharomyces cerevisiae | Q27938796 | ||
An efficient algorithm for large-scale detection of protein families | Q28131838 | ||
The BioGRID Interaction Database: 2008 update | Q28257199 | ||
Lethality and centrality in protein networks | Q29547267 | ||
Comparative assessment of large-scale data sets of protein-protein interactions | Q29547451 | ||
The large-scale organization of metabolic networks | Q29547498 | ||
Predicting protein function from protein/protein interaction data: a probabilistic approach | Q30811144 | ||
An overview of data models for the analysis of biochemical pathways | Q30882945 | ||
How reliable are experimental protein-protein interaction data? | Q33186555 | ||
Evaluation of clustering algorithms for protein-protein interaction networks | Q33262820 | ||
Graphs in molecular biology | Q33300808 | ||
Evaluation of phylogenetic footprint discovery for predicting bacterial cis-regulatory elements and revealing their evolution | Q33316220 | ||
GraphCrunch: a tool for large network analyses | Q33317101 | ||
Structure and evolution of transcriptional regulatory networks | Q34326530 | ||
Genomic analysis of regulatory network dynamics reveals large topological changes | Q34348943 | ||
Graph-based analysis of metabolic networks. | Q34681728 | ||
MIPS: analysis and annotation of proteins from whole genomes | Q34933194 | ||
VisANT 3.0: new modules for pathway visualization, editing, prediction and construction | Q38440753 | ||
Knowledge representation of signal transduction pathways | Q40776430 | ||
PathFinder: mining signal transduction pathway segments from protein-protein interaction networks | Q40829924 | ||
Hierarchical analysis of dependency in metabolic networks | Q42599806 | ||
Reticulate representation of evolutionary and functional relationships between phage genomes | Q43581270 | ||
Metabolic pathway analysis web service (Pathway Hunter Tool at CUBIC). | Q45168780 | ||
Efficient algorithms for detecting signaling pathways in protein interaction networks | Q46097690 | ||
Detection of functional modules from protein interaction networks. | Q47285412 | ||
Protein complex prediction via cost-based clustering | Q47387430 | ||
Inferring meaningful pathways in weighted metabolic networks | Q47604665 | ||
Functional and topological characterization of protein interaction networks | Q47866212 | ||
Effect of sampling on topology predictions of protein-protein interaction networks | Q58067825 | ||
GeneMCL in microarray analysis | Q81235524 | ||
P433 | issue | Web Server issue | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | W444-51 | |
P577 | publication date | 2008-06-04 | |
P1433 | published in | Nucleic Acids Research | Q135122 |
P1476 | title | NeAT: a toolbox for the analysis of biological networks, clusters, classes and pathways | |
P478 | volume | 36 |
Q89823710 | A Guide to Conquer the Biological Network Era Using Graph Theory |
Q37047891 | A binary matrix factorization algorithm for protein complex prediction. |
Q33539998 | A non-tree-based comprehensive study of metazoan Hox and ParaHox genes prompts new insights into their origin and evolution |
Q31090650 | A simple knowledge-based mining method for exploring hidden key molecules in a human biomolecular network |
Q60930395 | ACES: a machine learning toolbox for clustering analysis and visualization |
Q37341560 | An overview of bioinformatics methods for modeling biological pathways in yeast |
Q45381439 | Analysis Strategy of Protein–Protein Interaction Networks |
Q33370529 | Analyzing multiple data sets by interconnecting RSAT programs via SOAP Web services: an example with ChIP-chip data |
Q38666600 | Antiviral innate immunity through the lens of systems biology |
Q53175427 | Assessing Relative Bioactivity of Chemical Substances Using Quantitative Molecular Network Topology Analysis |
Q37033434 | Bioinformatics resources for the study of gene regulation in bacteria |
Q36094538 | Cell-free Determination of Binary Complexes That Comprise Extended Protein-Protein Interaction Networks of Yersinia pestis. |
Q34501260 | Complete Genomic and Lysis-Cassette Characterization of the Novel Phage, KBNP1315, which Infects Avian Pathogenic Escherichia coli (APEC). |
Q28550240 | Comprehensive Map of Molecules Implicated in Obesity |
Q38715258 | Computational methods to identify metabolic sub-networks based on metabolomic profiles. |
Q41518046 | Discovering the hidden sub-network component in a ranked list of genes or proteins derived from genomic experiments |
Q36499633 | Endothelial cell dysfunction and cardiac hypertrophy in the STOX1 model of preeclampsia |
Q37742784 | Graph methods for the investigation of metabolic networks in parasitology |
Q35102153 | Integrating domain similarity to improve protein complexes identification in TAP-MS data. |
Q37486953 | Investigating transcriptional regulation: from analysis of complex networks to discovery of cis-regulatory elements |
Q34242807 | Is newer better?—evaluating the effects of data curation on integrated analyses in Saccharomyces cerevisiae |
Q28482688 | Linking proteins to signaling pathways for experiment design and evaluation |
Q41859031 | MapMaker and PathTracer for tracking carbon in genome-scale metabolic models. |
Q52803604 | MetExplore: collaborative edition and exploration of metabolic networks |
Q57265612 | MetaboRank: network-based recommendation system to interpret and enrich metabolomics results |
Q34337828 | Microbial interactions: from networks to models |
Q33910803 | NAP: The Network Analysis Profiler, a web tool for easier topological analysis and comparison of medium-scale biological networks |
Q51868865 | Network Analysis Tools: from biological networks to clusters and pathways |
Q36926180 | Network-based modeling of the human gut microbiome |
Q42724540 | NetworkAnalyst--integrative approaches for protein-protein interaction network analysis and visual exploration |
Q35500802 | No3CoGP: non-conserved and conserved coexpressed gene pairs |
Q40174135 | Pathway discovery in metabolic networks by subgraph extraction |
Q43577885 | Predicting Metabolic Pathways by Sub-network Extraction |
Q40642533 | Reconstruction of the temporal signaling network in Salmonella-infected human cells |
Q56892467 | Reticulate Classification of Mosaic Microbial Genomes Using NeAT Website |
Q37245782 | SNOW, a web-based tool for the statistical analysis of protein-protein interaction networks |
Q24656073 | STRING 8--a global view on proteins and their functional interactions in 630 organisms |
Q30010167 | The identification of short linear motif-mediated interfaces within the human interactome |
Q37977413 | Tools for protein-protein interaction network analysis in cancer research. |
Q36150447 | Towards a more accurate annotation of tyrosine-based site-specific recombinases in bacterial genomes |
Q35174713 | Unraveling networks of co-regulated genes on the sole basis of genome sequences |
Q38360727 | Using RSAT oligo-analysis and dyad-analysis tools to discover regulatory signals in nucleic sequences |
Q35005792 | Using graph theory to analyze biological networks |
Q51481293 | Using the NeAT Toolbox to Compare Networks to Networks, Clusters to Clusters, and Network to Clusters |
Q37245690 | VisANT 3.5: multi-scale network visualization, analysis and inference based on the gene ontology. |
Q26796849 | Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
Q42540306 | jClust: a clustering and visualization toolbox |
Search more.