diff --git a/CHANGELOG.md b/CHANGELOG.md
index 6b382405ecda8f8b743e48c8ca2e30d79e2d0807..6eafbb34be8aa62fd1aa4d2ca6d266d3962b7df3 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## v1.3.0dev - 2020-11-01
 
+* Add HiCExplorer distance decay quality control
+* Add HiCExplorer TADs calling
+* Add insulation score TADs calling
+* Generate cooler/h5/txt contact maps
+* Normalize Hi-C data with cooler instead of iced
 * New `--digestion` parameter to automatically set the restriction_site and ligation_site motifs
 * New `--keep_multi` and `keep_dup` options. Default: false
 * Template update for nf-core/tools v1.11
diff --git a/README.md b/README.md
index 589bcb3d57346d43649ca7881b90bf30caa1137f..7be20104b8e41e42cca409502da2925cfad5e7a7 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@
 
 ## Introduction
 
-This pipeline is based on the
+This pipeline was originally set up from the
 [HiC-Pro workflow](https://github.com/nservant/HiC-Pro).
 It was designed to process Hi-C data from raw FastQ files (paired-end Illumina
 data) to normalized contact maps.
@@ -23,6 +23,8 @@ well as protocols that do not require restriction enzymes such as DNase Hi-C.
 In practice, this workflow was successfully applied to many data-sets including
 dilution Hi-C, in situ Hi-C, DNase Hi-C, Micro-C, capture-C, capture Hi-C or
 HiChip data.
+Contact maps are generated in standard format including HiC-Pro, cooler, and h5 format.
+Addition downstream analysis steps such as TADs calling are also available.
 
 The pipeline is built using [Nextflow](https://www.nextflow.io), a workflow tool
 to run tasks across multiple compute infrastructures in a very portable manner.
@@ -32,13 +34,14 @@ results highly reproducible.
 ## Pipeline summary
 
 1. Mapping using a two steps strategy to rescue reads spanning the ligation
-sites (bowtie2)
-2. Detection of valid interaction products
+sites ([`bowtie2`](http://bowtie-bio.sourceforge.net/bowtie2/index.shtml))
+2. Detection of valid interaction products([`HiC-Pro`](https://github.com/nservant/HiC-Pro))
 3. Duplicates removal
-4. Create genome-wide contact maps at various resolution
-5. Contact maps normalization using the ICE algorithm (iced)
-6. Quality controls and report (MultiQC)
-7. Addition export for visualisation and downstream analysis (cooler)
+4. Create genome-wide contact maps at various resolution ([`cooler`](https://github.com/open2c/cooler))
+5. Contact maps normalization using the ICE algorithm ([`cooler`](https://github.com/open2c/cooler))
+6. Quality controls ([`HiC-Pro`](https://github.com/nservant/HiC-Pro), [`HiCExplorer`](https://github.com/deeptools/HiCExplorer))
+7. TADs calling ([`HiCExplorer`](https://github.com/deeptools/HiCExplorer), [`cooler`](https://github.com/open2c/cooler))
+8. Quality control report ([`MultiQC`](https://multiqc.info/))
 
 ## Quick Start