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Home > Research > Laboratories > Ma'ayan Laboratory - Computational Systems Biology
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Ma'ayan Laboratory - Computational Systems Biology

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About Us

We develop computational tools to mine protein and gene regulatory networks in mammalian cells, and use such knowledge to analyze emerging high throughput proteomics and genomics experimental data. Read More

Reconstruction of Protein Interaction Networks

We reanalyzed over 3,000 IP-MS proteomics experiments to reconstruct a protein-protein and domain-domain networks. Read More

Data Visualization Methods

We published methods that cluster tumor samples with genome-wide gene expression experiments combined with clinical parameters. Read More

Genes2WordCloud

We developed and published a tool to help biologists, web-developers and biomedical researchers to visualize biomedical research text as word-clouds. Read More

Expression2Kinases

We developed an integrative platform which allows users to identify transcriptional regulators, protein kinases and cell signaling pathways from sets of differentially expressed genes. Read More

Ma'ayan Laboratory News

Mount Sinai Researchers Develop New Computational Method to Find Novel Connections from Gene to Gene, Drug to Drug and Between Scientists 
July 23, 2012 - New algorithm will change how scientists build networks from data to help predict gene and drug interactions.

 

Researchers Discover Drug Target for Kidney Failure 
March 11, 2012 - Mount Sinai researchers used computer software to help identify a protein that plays a crucial role in kidney fibrosis, which leads to kidney failure, a disease that affects millions of Americans.

 

Recovering Protein-Protein and Domain-Domain Interactions from Aggregation of IP-MS Proteomics of Coregulator Complexes 
December 29, 2011 - The Ma'ayan Laboratory described their method and its application in the journal PLoS Computational Biology.

 
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Related Resources
Enrichr ChIP-X Enrichment Analysis Kinase Enrichment Analysis Drug-Pair Seeker Expression2Kinases Grid Analysis of Time-Series Expression Lists2Networks Sets2Networks
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Avi Ma'ayan, PhD
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