The invention provides a group epigenetic
analysis method and
system based on
consensus peak recognition, and belongs to the technical field of
bioinformatics, and the method comprises the steps: S1, recognizing a
consensus peak from a multi-sample peak file based on a position offset threshold and a minimum sample proportion; s2, calculating the coverage depth of a
consensus peak based on the segment / read segment to obtain an original
peak intensity matrix; s3, eliminating GC preference through
GC content inter-partition local correction; s4, performing cross-sample normalization by adopting methods such as DESeq2, TMM and the like; and S5, automatically removing a hidden batch effect by utilizing potential variable analysis. The
system correspondingly comprises five functional modules. According to the method, the problems of inconsistent peak coordinates, incomparable signals and large technical deviation interference in multi-sample epigenetic data are solved through an integrated process, full-automatic generation from
original data to a high-quality and high-comparability
peak intensity matrix is realized, and the analysis efficiency and accuracy of researches on large-scale groups
ChIP-seq, ATAC-seq and the like are remarkably improved.