Commit 6e02ce70 authored by Jerome Mariette's avatar Jerome Mariette
Browse files

avec abstract

parent 6d1d3770
......@@ -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
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