Data Resources

FANTOM5 Data

• FANTOM5 Data Summary
  Selected data files for FANTOM5 and instructions for bulk download.
• TET
  A system for extracting subsets of data from selected FANTOM5 data files including phase 1 and 2 expression tables.
• Transcribed Enhancer Atlas
  A database describing enhancer regions defined by CAGE tags in the FANTOM5 project, with samples over the whole human body.

• FANTOM CAT
  An atlas of human long non-coding RNAs with accurate 5’ ends

FANTOM5 Supplemental Data

• Kanamori-Katayama et al. 2011
  An automated workflow to sequence CAGE libraries.
• Motakis et al. 2013
  Redefinition of the human mast cell transcriptome by deep sequencing
• Kawaji et al. 2013
  Comparison of CAGE and RNA-seq transcriptome profiling using a clonally amplified and single molecule next generation sequencing
• Verardo et al. 2014
  Heterogeneity of mesenchymal stem cells and signatures in ovarian cancer
• Ohmiya et al. 2014
  RECLU: a pipeline to discover reproducible transcriptional start sites and their alternative regulation
• Lizio et al. 2015
  Cell type-specific regulatory networks in TC-YIK cervical cancer cell line
• Arner et al. 2015
  Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells
• Ramilowski el al. 2015
  A draft network of ligand-receptor mediated multicellular signaling in human
• Dieterich et al. 2015
  Role of human MAFB in lymphatic endothelium
• De_Rie_et_al_2017
  An atlas of miRNAs
• Klein et al. 2015
  Lymphatic endothelial response to VEGF-C is regulated by HOXD10 transcription factor
• Hon_et_al_2016/
  An atlas of lncRNAs with accurate 5' ends
• Abugessaisa et al. 2016
  The FANTOM5 SSTAR sample database
• Lizio et al 2017
  Systematic analysis of TSSs in avian development
• Hirabayashi et al. 2019
  Enhancers identified by a new technology to capture nascent and capped transcripts (NET-CAGE)
• Alam et al. 2020
  Whole-genome multiple sequence alignments, genome-wide transcription factor binding site predictions, and motif activity scripts for comparative transcriptomics