Integrative Analysis

どのような種類のデータを組み合わせることができますか？

• ChIP-Seq with methylation
• ATAC-Seq with methylation
• mRNA-Seq with methylation data
• sncRNA-Seq with ChIP-Seq or ATAC-Seq
• mRNA-Seq with ChIP-Seq or ATAC-Seq
• ...and more

この解析は様々な線形数学モデルを調査し、2セットのオミクスデータ間の関係を推定します。

完全な解析

• Summary statistics for the different technologies used
• Trimmed and filtered reads in fastQ files after sequencing QC
• BAM sorted files from alignment to reference genome or transcriptome (indexed bam files and bigwig files included)
• Outcome of interest:
• List of peaks with their enrichment level (ChIP-Seq, ATAC-Seq, MeDIP-Seq)
• List of CpGs with their methylation percentage (WGBS, RRBS, EPIC, BSAS)
• Matrix with expression abundance estimation (total, messenger and small non-coding RNA)
• Comparative analysis aimed at finding differential responses between two groups of samples
• Functional gene annotation on features with differential responses
• Integration of two sets of omics data - linear regression
• Gene ontology enrichment analysis of correlated features