minor update

Author: THEVENOT Etienne

index.Rmd

@@ -4,7 +4,7 @@ title: "Odiscé"
 
 ## Welcome to the "Metabolomics Data Sciences for Health" team website
 
-For more than 15 years, our team based at [**CEA Saclay**](https://www.cea.fr/paris-saclay/Pages/Accueil.aspx) in the [**LI-MS**](https://joliot.cea.fr/drf/joliot/en/Pages/research_entities/medicines_healthcare_technologies/spi/lims.aspx) laboratory (Laboratory of innovations in mass spectrometry for health), member of the [**MetaboHUB**](https://www.metabohub.fr/home.html) infrastructure in metabolomics and fluxomics, has been developing innovative computational methods and software libraries applied to **metabolomic data science for health**. Our know-how and the digital ecosystem we have built cover all steps from **signal processing** of **mass spectrometry data**, **machine learning**, **feature selection**, **data integration**, **cheminformatics** and up to reproducible **workflow management**.
+For more than 15 years, our team based at [**CEA Saclay**](https://www.cea.fr/paris-saclay/Pages/Accueil.aspx) in the [**LI-MS**](https://joliot.cea.fr/drf/joliot/en/Pages/research_entities/medicines_healthcare_technologies/spi/lims.aspx) laboratory (Laboratory of innovations in mass spectrometry for health), member of the [**MetaboHUB**](https://www.metabohub.fr/home.html) infrastructure in metabolomics and fluxomics, has been developing **innovative computational methods** and **software libraries** applied to **metabolomic data science for health**. Our know-how and the digital ecosystem we have built cover all steps from **signal processing** of **mass spectrometry data**, **machine learning**, **feature selection**, **data integration**, **cheminformatics** and up to reproducible **workflow management**.
 
 <center>![](images/odisce.png){width="673"}</center>
 

index.html

@@ -296,13 +296,14 @@ <h2>Welcome to the “Metabolomics Data Sciences for Health” team
 member of the <a
 href="https://www.metabohub.fr/home.html"><strong>MetaboHUB</strong></a>
 infrastructure in metabolomics and fluxomics, has been developing
-innovative computational methods and software libraries applied to
-<strong>metabolomic data science for health</strong>. Our know-how and
-the digital ecosystem we have built cover all steps from <strong>signal
-processing</strong> of <strong>mass spectrometry data</strong>,
-<strong>machine learning</strong>, <strong>feature selection</strong>,
-<strong>data integration</strong>, <strong>cheminformatics</strong> and
-up to reproducible <strong>workflow management</strong>.</p>
+<strong>innovative computational methods</strong> and <strong>software
+libraries</strong> applied to <strong>metabolomic data science for
+health</strong>. Our know-how and the digital ecosystem we have built
+cover all steps from <strong>signal processing</strong> of <strong>mass
+spectrometry data</strong>, <strong>machine learning</strong>,
+<strong>feature selection</strong>, <strong>data integration</strong>,
+<strong>cheminformatics</strong> and up to reproducible <strong>workflow
+management</strong>.</p>
 <center>
 <img src="images/odisce.png" width="673" />
 </center>