avec abstract

BMC_jvenn/bmc_jvenn.tex

@@ -200,16 +200,22 @@
 
 \begin{abstract} % abstract
 \parttitle{Background} %if any
-
+The amount of rich WEB applications allowing scientists to store, share and analyze data on the WEB is increasing. 
+This highlights the need to implement effective web-based data visualization that can easily be embeded within any
+WEB site. The Venn diagram is one of the most popular chart to display shared and unshared identifiers outcoming 
+from biological projects.
 
 \parttitle{Results} %if any
-
-...
-Currently there is no software that provides such features.
+jvenn provides Venn diagram features that no other softwares do. It is the only library that handle up 
+to 6 input lists and display Edwards-Venn diagram. Its implementation as a javascript library permits any
+developper to embed Venn diagramm visualization features within its WEB application. jvenn is fully configurable
+and allows the developper to control and customize all interactions with its users.
 
 \parttitle{Conclusions} %if any
 We introduce jvenn a javascript library aiming to be part of rich WEB environments helping scientists to analyse 
-their data.
+their data. The library package, comming with a full documentation and some integration examples, is freely 
+available at https://mulcyber.toulouse.inra.fr/plugins/mediawiki/wiki/venny/index.php/Accueil.
+
 
 \end{abstract}
 
@@ -271,13 +277,12 @@ their data.
 
 \section*{Background}
 
-The massive amounts of data generated by biological projects makes the analysis of such projects more and 
-more difficult. In such a context, it is important to provide researchers with effective visualization 
-tools to explore and extract relevant knowledge from these data sets. Data analysis often leads to the 
-production of biological identifiers (gene names, operational taxonomic unit, ...) for which it is 
-interesting to know intersections between samples. One of the most popular visualization chart is the 
-Venn diagrams \cite{Venn1880} wich allows to identify shared and unshared identifiers providing an insight 
-on the similarities between the lists.
+Biological projects are increasingly multiplexing samples to assess differences between conditions or individuals, 
+thus, it is important to provide researchers with effective visualization tools to explore and extract 
+relevant knowledge from these data sets. Data analysis often leads to the production of biological 
+identifiers (gene names, operational taxonomic unit, ...) for which it is interesting to know intersections 
+between samples. A common visualization chart is the Venn diagrams \cite{Venn1880} wich allows to identify 
+shared and unshared identifiers providing an insight on the similarities between the lists.
 
 This type of graphs is often used to present results on WEB page. Thus, several Venn diagram applications are 
 availble. Some of them such as BioVenn \cite{Hulsen2008} or venny \cite{venny}, provide WEB