From e27a0df32516c12527a53f18b5bb903c39d7b4c0 Mon Sep 17 00:00:00 2001
From: Arnaud Duvermy <arnaud.duvermy@ens-lyon.fr>
Date: Thu, 10 Feb 2022 13:44:13 +0100
Subject: [PATCH] Update README.md

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index ecf461c..aeb7303 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ Purpose:
 
 Main step:
 
-1) Estimate size factor
+### 1) Estimate size factor
 
 Median ratio method is used to estimate the size factor per sample.
 
@@ -19,14 +19,14 @@ Normalized counts allow minimizing biais linked to library size.
 By normalizing the counts DESEQ2 aims to make sure differential expression are based on factors study and not to sequencing depth
 /!\ gene length is not take into account !
 
-2) Estimate dispersion
+### 2)Estimate dispersion
 
-Purpose: Estimate the variability between replicates
+Purpose: Estimate the variability between replicates <br/>
 
-Get dispersion estimate for each gene using Maximum Linkelihood Estimatation
+Get dispersion estimate for each gene using Maximum Linkelihood Estimatation <br/>
 Fit a curve to wise gene dispersion estimate
 
-3) Fit linear model 
+### 3) Fit linear model 
 
 The differential expression analysis uses a generalized linear model of the form:
 Kij ∼ NB(µij , α i )<br/>
-- 
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