Assay of Transposase-Accessible Chromatin by deep sequencing (ATAC-seq) has been widely used to profiling chromatin accessibility genome-wide. For the absence of an integrated scheme  for deep data mining of specific biological issues, here we present ATAC-pipe, an efficient pipeline for general analysis of chromatin accessibility data obtained from ATAC-seq experiments. ATAC-pipe captures  information includes not only the quality of original data and genome-wide chromatin accessibility, but also signatures of significant differential peaks, transcription factor (TF) occupancy, and nucleosome positions around regulatory sites. In addition, ATAC-pipe automatically converts statistic results into intuitive plots at publication quality, such as the read length distribution, heatmaps of sample clustering and cell-type specific regulatory elements, enriched TF occupancy with motifs footprints, and sample specific regulatory networks. ATAC-pipe provides convenient workflow for researchers to study chromatin accessibilities and gene regulation. The software is also implementable into the Galaxy platform.