General Information on Our Services 

 

Network Analysis Infographic 

 

Our Mission


To provide the highest quality customized computational biology services, accelerating research in the life sciences worldwide.

 

Our Network Analysis Services


  • Network analysis is a family of systems biology methods that uses the relationships among traits to make complex biological data more comprehensible.
  • WGCNA is a network analysis method with many applications, ranging from gene co-expression to patterns of functional co-activation in the brain.
  • WGCNA provides richer insights into transcriptomic and epigenomic data than possible with more traditional methods such as differential expression.
  • The Bioinformatics CRO works with experienced bioinformaticians, including those who developed key tools, to provide rapid, quality WGCNA analyses to those who wish to get more from their genomic data. Our team has collectively conducted dozens of these analyses.
  • If your data includes measurements from at least 20 samples (the more the better!), WGCNA might be a great fit for you.
  • To download our network analysis infographic (great for sharing!), click here.

 

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WGCNA in Practice

 

Characterizing Gene Expression in Autism

This article, co-first authored by our founder, describes using WGCNA to characterize brain gene expression in autism. Despite its clinical heterogeneity, this analysis demonstrated a gene expression similarity in two thirds of cases, and further broke out co-expressed gene sets associated with synaptic function, glia, and inflammatory pathways. Network analysis demonstrated differing behavior over time for different sets of genes, disorder-associated regional differences in gene expression, and helped identify an actionable functional hypothesis regarding the transcription factor responsible.

Working with the developers of WGCNA, we have plenty of expertise in this analysis.  Why wait to have it done right? Schedule your free initial consultation today.

Predicting drug toxicity

This article describes predicting drug toxicity by applying WGCNA to gene expression from the livers of rats treated with various drugs. This approach allowed the authors to identify mechanisms of toxicity and to predict specific toxic phenotypes. Applying this method to drugs in the early stages of development could save pharmaceutical companies substantial development costs on drugs likely to be toxic.

How It Works


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