Genes2Networks

            Ma'ayan Lab

Specify Seed Genes and Settings

Seed Gene List:
*Empty*
Begin adding seed genes.

Settings:


Colors:
Background Datasets:
Select All / Select None
Upload Sig Database

Dataset Filtering:

Visualization:

Current Status:Waiting for Gene List

A command-line version of this program is available at: http://amp.pharm.mssm.edu/genes2networks.

This program draws from a large background network consisting of several protein interaction datasets. It will take a list of genes you provide as seed genes and identify all interacting genes that fall on paths through the background network between them.

Instructions
  1.  Specify your gene list. This is a list of primary human entrez gene symbols which will be used to find interacting nodes. Entering other accession numbers or full names will search NCBI's gene database and provide suggestions for the appropriate gene symbol.
  2.  Select Max Path Length. This is the number of steps to search to find intermediate nodes on paths connecting the seed nodes. A value of 1 will only return connections between seed nodes.
  3.  Choose a cutoff for significance for labeling graph nodes. A z-score is calculated for each intermediate node based on the number of links to the seed nodes and the number of total links it has in the background network. Nodes above this specified threshhold will be labeled in a different color.
  4.  Choose colors for graph nodes based on whether or not it is in the seed list or above the significance threshhold.
  5.  Select databases to use for generating the background network. Information about each database is available by clicking on their names. Additional user supplied datasets may be supplied as well.
  6.  Select filtering options for the background dataset. Remove low quality interactions from the background dataset by removing interactions from high throughput experiments or interactions without enough evidence.

If you use Genes2Networks, please cite: Berger SI, Posner JM, Ma'ayan A. Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases. BMC Bioinformatics. 2007 Oct 4;8:372.

All questions related to Genes2Network can be directed to avi.maayan@mssm.edu at the Icahn School of Medicine at Mount Sinai. Try other tools developed by the Ma'ayan Lab:
Enrichr- Analyze Gene Lists with over 30 Gene Set Libraries Drug Pair Seeker- Identify Pairs of Drugs that can Reverse or Mimic Gene Expression Patterns ChIP-X Enrichment Analysis- Database of Transcription Factors and their Target Genes extracted from ChIP-seq and ChIP-chip studies Kinase Enrichment Analysis- Database of Literature-Based Kinase Substrate Interactions LINCS Canvas Browser- Query and Visualize 1000's of L1000 Experiments GATE- Desktop Application for Gene Expression Time-Series Data Analysis Genes2FANs- Tools to Build Networks from List of Genes Sets2Networks- Tool to Build Networks from Gene-Set Libraries Expression2Kinases- Tool to Infer Cell Signaling Pathways from Sets of Differentially Expressed Genes Lists2Networks- Web-Based Platform for Performing Gene Set Enrichment Analyses ESCAPE- Database that Collects, Organizes and Visualizes High-Content Data from Embryonic Stem Cell Research

All questions related to Genes2Network can be directed to avi.maayan@mssm.edu at the Icahn School of Medicine at Mount Sinai. If you use Genes2Networks, please cite: Berger SI, Posner JM, Ma'ayan A. Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases. BMC Bioinformatics. 2007 Oct 4;8:372.