Your tailored solution for RNA-seq analysis
RNA-seq has revolutionized transcriptomics a decade ago by allowing the sequencing of all the mRNA content of a sample. Ever since, many methods have been implemented to properly analyze bulk RNA-seq and we have become experts in understanding and applying them.
Meet TEnex: our licensed pipeline for RNA-seq analysis
The standard for RNA-seq analysis is to extract differentially expressed genes between conditions. As specialists of the repeated genome, we can go one step further by analyzing transposable elements which can alter gene expression and have been shown to play a role in diseases, notably cancers.
Our peer-reviewed pipeline to analyze transposable elements (TE), which we coined TEnex, has been developed at EPFL and is licensed to Nexco Analytics. We can optionally extract this information to complement the standard gene analyses.
Our analyses fit the standards and are adaptable to your needs. We apply statistical methods which minimize the number of false positives to provide you with a robust set of differentially expressed genes.
Take advantage of machine learning and years of experience
From raw data or from processed data, Nexco Analytics can help in both cases. We have been working in transcriptomics for over 15 years and can apply any downstream analysis to your data.
We can help you understand the biological relevance of the genes found in your data by using multiple tools such as gene set enrichment, gene ontology or cell type deconvolution.
We apply machine learning techniques to unravel hidden patterns in the data, from simple clustering or standard principal component analysis to more advanced statistical modeling, like random forest and regression to name a few.