Insights

RNA-seq – from raw reads to full integrated, advanced gene analysis of your experimental data

Transcription factors – deep view on binding sites and corresponding factors/enhancers

Networks – upstream analysis to discover novel master regulators and underlying mechanisms

NGS – gene expression profiling, detection of genetics changes and molecular analysis

Drug targets – best pipeline to find therapeutic targets

Pathways – identify major players and inferred activity in canonical pathways or reconstructed networks

ChIP-seq – peak calling, classify and analyze target genes

SNPs – focus on gain or loss of protein functions

Gene Ontology – map, reduce and visualize GO terms

Single Sequences – work with mouse, human and rat genome builds

miRNA – target identification, enrichment and more

Cluster – create your own gene or protein cluster