Starting from a list of gene IDs with optional expression values
Starting from a single count table (RNAseq) or intensity table (microarray)
Starting with several gene expression tables for meta-analysis
Uploading RNAseq fastq files to our Galaxy server for mapping & quantification
Starting with a network file (sif, graphml, json)


News & Updates

  • Updated FAQs and Tutorials based on new features (02/01/2019);
  • Added support for heatmap visual analytics for gene lists (01/23/2019);
  • Added GSEA support for gene expression meta-analysis (01/15/2018);
  • Added support for enrichment network visual analytics (01/07/2019);
  • Added support for multiple gene lists upload (12/21/2018);
  • Updated FAQs and added 6 new tutorials for NetworkAnalyst (12/18/2018);
  • Added support for different gene ranking options for GSEA (12/12/2018);
  • Added GSEA support for gene expression analysis (12/08/2018);
  • Code refactoring to improve speed and memory efficiency (12/05/2018);
  • Added support for PANTHER GO slim libraries for all enrichment analysis moduels (11/22/2018);
  • Added project management support to allow registered users to resume their data analysis later! (11/15/2018);
  • Added support for uploading common graph files from R or Cytoscape (10/22/2018);
  • Added support for network visualization in 3D space (10/18/2018);
  • Added support for raw RNAseq analysis using our Galaxy server (10/15/2018);
  • Fixed the annotation file for Illumina HumanRef-8 V3 BeadArray (07/06/2018);
  • See Resources on local installation option (06/11/2018);
  • See Resources on API for programmatic access (05/06/2018);
Read more ......

Please Cite

  • Xia J, Gill E, and Hancock REW (2015) "NetworkAnalyst for Statistical, Visual and Network-based Approaches for Meta-analysis of Expression Data" Nature Protocols 10, 823–844
  • Xia J, Benner MJ, and Hancock REW (2014) "NetworkAnalyst - integrative approaches for protein–protein interaction network analysis and visual exploration" Nucl. Acids Res. 42 (W1): W167-W174. (PPI data analysis and visualization)
  • Xia, J., Lyle, N.H., Mayer, M., Pena, O.M. and Hancock, R.E.W. (2013) “INVEX - a web-based tool for integrative visualization of expression data”. Bioinformatics 29 (24), 3232-3234 (gene expression data analysis)
  • Xia, J., Fjell, C.D., Mayer, M., Pena, O.M., Wishart, D.S. and Hancock, R.E.W. (2013) “INMEX - a web-based tool for integrative meta-analysis of expression data”. Nucleic Acids Research 41, W63-W70. (meta-analysis)
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