Epigenomics Profiling Services
Chromatin analysis ChIP-seq analysis: histone modifications or transcription factors Chromatin accessibility analysis (ATAC-seq) Single cell chromatin accessibility analysis (scATAC-seq)
DNA methylation analysis Methylation arrays (human and mouse) Reduced representation bisulfite sequencing (RRBS) Whole genome bisulfite sequencing (WGBS) Targeted methylation analysis MeDIP-seq/hMeDIP-seq analysis
RNA-seq analysis Whole transcriptome analysis (total RNA-seq) Messenger RNA analysis (mRNA-seq) Small non-coding RNA analysis (sncRNA-seq)
Bioinformatics analysis Standard analysis: read filtering, trimming, mapping and peak/methylation calling Advanced analysis: differential analysis, gene ontology and pathway enrichment Integrative analysis and linear regression Data mining and machine learning
Consulting with our experts Complete end-to-end customized service Dedicated team provides high touch communication Expertise and proven record with challenging samples Techniques Standard analysis Advanced analysis
Differenrantial binding analysis (affinity and occupancy analysis) ChIP-seq Read filtering and trimming Genomic annotation Histone modifications Read mapping to the genome Gene ontology Transcription factors Peak calling Pathway enrichment
Specific genomic region visualization
Differential accessibility analysis Read filtering and trimming Genomic annotation Read mapping to the genome ATAC-seq Motif recognition Identification of open Gene ontology chromatin regions Pathway enrichment
Chromatin analysis Debarcoding Cell clustering Read mapping to the genome Differential accessibility analysis scATAC-seq Bead filtration and deconvolution Gene ontology Identification of open chromatin regions Pathway enrichment Cells by peaks count matrix
Raw β- values • Methylation arrays Data normalization Differential methylation analysis • Human and mouse Probe filtering (probes) • 5mC and 5hmC analysis Background correction
Differential methylation analysis (CpGs and regions) Read filtering and trimming RRBS Clustering analysis Read mapping to the genome WGBS Genomic annotation Methylation calling Gene ontology Pathway enrichment
Read filtering and trimming • Targeted analysis Read mapping to the genome Differential methylation analysis Methylation calling
DNA methylation analysis Differential methylation or Read filtering and trimming hydroxymethylation analysis (CpGs and regions) Read mapping to the genome MeDIP-seq/hMeDIP-seq Genomic annotation Methylation or hydroxymethylation Gene ontology calling Pathway enrichment Specific genomic region visualization
Read filtering and trimming Differential expression analysis • Read mapping to the genome Gene ontology Total RNA-seq • mRNA-seq or transcriptome Pathway enrichment
• sncRNA-seq Gene and transcript Alterntive splicing analysis quantification Novel transcript identification RNA analysis
Read filtering and trimming • Comparative analysis • Integrative analysis Read mapping to the genome • Genomic annotation • Integration of two sets of omics data and linear regression or transcriptome Outcome of interest • Gene ontology
• Feasibility study • Data mining and machine learning • Reporting • Training and testing • Probabilistic modelling • Model validation Bioinformatics • Data mining analysis • Deep learning approaches • Scientific support • Result interpretation
www.diagenode.com Please contact us for more information Europe Diagenode sa / LIEGE SCIENCE PARK // Rue Bois Saint-Jean, 3 // 4102 Seraing (Ougrée) // Belgium // Phone: (+32) 4 364 20 50 // E-mail: [email protected]
USA Diagenode Inc. / 400 Morris Avenue, Suite 101 // Denville, NJ 07834 // USA // Phone: (+1) 862 209-4680 // E-mail: [email protected] F-services_flyer-V2-10_18