Insights

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

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

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Networks upstream analysis to discover novel master regulators and underlying mechanisms

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

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Drug targets – best pipeline to find therapeutic targets

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

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

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SNPs focus on gain or loss of protein functions

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Gene Ontology – map, reduce and visualize GO terms

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

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miRNA – target identification, enrichment and more

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Cluster – create your own gene or protein cluster

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