From 1aa908c24cbcde6a4044df126d98f6fd1a47dd5a Mon Sep 17 00:00:00 2001
From: Mahkameh <mahkamehsalehi.93@gmail.com>
Date: Thu, 26 Sep 2024 10:58:34 +0300
Subject: [PATCH] update

---
 docs/articles/data_summary.html |  7 ++++---
 docs/articles/data_summary.qmd  | 16 +++++++---------
 2 files changed, 11 insertions(+), 12 deletions(-)

diff --git a/docs/articles/data_summary.html b/docs/articles/data_summary.html
index 6bf41b6..4aceeee 100644
--- a/docs/articles/data_summary.html
+++ b/docs/articles/data_summary.html
@@ -339,9 +339,10 @@ <h2>Data Source</h2>
 </section>
 <section id="aims-of-the-study" class="slide level2 smaller">
 <h2>Aims of the study</h2>
-<p>The study investigates how antibiotic consumption affects the abundance and diversity of antibiotic resistance genes (ARGs) in the human gut microbiome across different populations.</p>
-<p>By analyzing 8,972 metagenomic samples from healthy individuals who were not taking antibiotics, correlations between per capita antibiotic usage rates and the prevalence of ARGs in different countries was identified.</p>
-<p>The study also explores the how resistance genes are transferred among microbial species, identifies distinct resistotypes within the human gut microbiome, and assesses how these factors contribute to the overall resistome.</p>
+<ul>
+<li><p>This study explores how antibiotic use affects the abundance and diversity of resistance genes (ARGs) in the human gut.</p></li>
+<li><p>Analyzing samples from healthy individuals, it finds links between national antibiotic usage and ARG prevalence, while also examining ARG transfer and resistotype patterns in the gut.</p></li>
+</ul>
 </section>
 <section id="sample-distribution-by-body-site" class="slide level2 smaller">
 <h2>Sample Distribution by Body Site</h2>
diff --git a/docs/articles/data_summary.qmd b/docs/articles/data_summary.qmd
index e46e1a9..b9e0bd9 100644
--- a/docs/articles/data_summary.qmd
+++ b/docs/articles/data_summary.qmd
@@ -10,21 +10,19 @@ format:
     transition: slide
 ---
 
-## Data Source  {.smaller}
+## Data Source {.smaller}
 
 ![](images/Capture.PNG)
 
 The data used comes from the study titled "Population-level impacts of antibiotic usage on the human gut microbiome", published in Nature Communications in 2023 by Lee et al. This large-scale study includes a total of 9,251 samples collected from various human body sites and countries.
 
-## Aims of the study  {.smaller}
+## Aims of the study {.smaller}
 
-The study investigates how antibiotic consumption affects the abundance and diversity of antibiotic resistance genes (ARGs) in the human gut microbiome across different populations.
+-   This study explores how antibiotic use affects the abundance and diversity of resistance genes (ARGs) in the human gut.
 
-By analyzing 8,972 metagenomic samples from healthy individuals who were not taking antibiotics, correlations between per capita antibiotic usage rates and the prevalence of ARGs in different countries was identified.
+-   Analyzing samples from healthy individuals, it finds links between national antibiotic usage and ARG prevalence, while also examining ARG transfer and resistotype patterns in the gut.
 
-The study also explores the how resistance genes are transferred among microbial species, identifies distinct resistotypes within the human gut microbiome, and assesses how these factors contribute to the overall resistome.
-
-## Sample Distribution by Body Site  {.smaller}
+## Sample Distribution by Body Site {.smaller}
 
 The dataset comprises samples from six major body sites, with the distribution as follows:
 
@@ -124,7 +122,7 @@ ggplot(country_sample_data, aes(x = Number_of_Samples, y = Country)) +
   coord_cartesian(clip = "off")
 ```
 
-## Methods: Data Collection & Compilation  {.smaller}
+## Methods: Data Collection & Compilation {.smaller}
 
 -   Manually curated ARG families from CARD database (n=752)   
 
@@ -136,7 +134,7 @@ ggplot(country_sample_data, aes(x = Number_of_Samples, y = Country)) +
 
 -   Metagenomic assemblies retrieved from [Pasolli et al.](http://segatalab.cibio.unitn.it/data/Pasolli_et_al.html)
 
-## Data Subsetting  {.smaller}
+## Data Subsetting {.smaller}
 
 #### **Subset Criteria:**