ChIP-Atlas 3.0: a data-mining suite to explore chromosome architecture together with large-scale regulome data

ChIP-Atlas (https://chip-atlas.org/) presents a suite of data-mining tools for analyzing epigenomic landscapes, powered by the comprehensive integration of over 376 000 public ChIP-seq, ATAC-seq, DNase-seq and Bisulfite-seq experiments from six representative model organisms. To unravel the intricacies of chromatin architecture that mediates the regulome-initiated generation of transcriptional and phenotypic diversity within cells, we report ChIP-Atlas 3.0 that enhances clarity by incorporating additional tracks for genomic and epigenomic features within a newly consolidated 'annotation track' section. The tracks include chromosomal conformation (Hi-C and eQTL datasets), transcriptional regulatory elements…

• JA
  Japan Agency for Medical Research and Development

  Awards: BINDS JP22ama121017, PRIME JP22gm6710001
• KU
  Kyoto University
• ME
  Milieu- en energietechnologie Innovatie Platform
• JS
  Japan Society for the Promotion of Science

  Awards: 23KF0048, 23H04954, 22H02819, JPMJSP2110, 22J15229
• JS
  Japan Science and Technology Agency

  Awards: JPMJPR1942, DICP JPMJND2202, ERATO JPMJER2101, JPMJER2101, SPRING JPMJSP2110, JPMJND2202, JPMJSP2110, PRESTO JPMJPR1942
• DI
  Dalian Institute of Chemical Physics
• PR
  Precursory Research for Embryonic Science and Technology

  Award: JPMJPR1942