NetworkAnalyst – statistical, visual and network-based meta-analysis of gene expression data

May 12, 2015 Leave a comment 6,834 Views

Meta-analysis of gene expression data sets is increasingly performed to help identify robust molecular signatures and to gain insights into underlying biological processes. The complicated nature of such analyses requires both advanced statistics and innovative visualization strategies to support efficient ...

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NetworkAnalyst – statistical, visual and network-based meta-analysis of gene expression data

AAV-Perturb-seq – adeno-associated virus (AAV)-mediated direct in vivo single-cell CRISPR screening

capTEs – Cas9-assisted profiling transposable elements expression sequencing

eSPET-seq – genome-wide probing of eukaryotic nascent RNA structure

DISCERN – deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection

Advancements in genome sequencing propel global RNA sequencing market growth to 2030

VAX-seq – mRNA vaccine quality analysis using RNA sequencing

Single-cell RNA-sequencing integration analysis revealed immune cell heterogeneity in five human autoimmune diseases