--- a/project/templates/talk/conf_schedule.html	Fri Dec 10 18:41:40 2010 +0530
+++ b/project/templates/talk/conf_schedule.html	Fri Dec 10 18:58:57 2010 +0530
@@ -4,6 +4,7 @@
 
 <h2 id="sec-1">Day 1 </h2>
 
+
 <table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
 <caption></caption>
 <colgroup><col class="right" /><col class="left" /><col class="left" />
@@ -59,9 +60,9 @@
 <tr><td class="right">12:15-12:35</td><td class="left">Prashant Agrawal</td><td class="left"><a href="#sec-4_18">A Parallel 3D Flow Solver in Python Based on Vortex Methods</a></td></tr>
 <tr><td class="right">12:35-13:05</td><td class="left">Ajith Kumar</td><td class="left"><a href="#sec-4_12">Python in Science Experiments using Phoenix</a></td></tr>
 <tr><td class="right">13:05-14:05</td><td class="left"></td><td class="left">Lunch</td></tr>
-<tr><td class="right">14:05-14:15</td><td class="left">Arun C. H.</td><td class="left"><a href="#sec-4_2">Usb Connectivity Using Python</a></td></tr>
+<tr><td class="right">14:05-14:15</td><td class="left">Harikrishna</td><td class="left"><a href="#sec-4_23">Python based Galaxy workflow integration on GARUDA Grid</a></td></tr>
 <tr><td class="right">14:15-14:25</td><td class="left">Arun C. H.</td><td class="left"><a href="#sec-4_3">Automation of an Optical Spectrometer</a></td></tr>
-<tr><td class="right">14:25-14:35</td><td class="left"></td><td class="left">More Lightning Talks</td></tr>
+<tr><td class="right">14:25-14:35</td><td class="left"></td><td class="left"><a href="#More==Lightning==Talks">More Lightning Talks</a></td></tr>
 <tr><td class="right">14:35-14:55</td><td class="left">Krishnakant Mane</td><td class="left"><a href="#sec-4_22">Convincing Universities to include Python</a></td></tr>
 <tr><td class="right">14:55-15:15</td><td class="left">Shantanu Choudhary</td><td class="left"><a href="#sec-4_4">"Python" Swiss army knife for Prototyping, Research and Fun.</a></td></tr>
 <tr><td class="right">15:15-15:35</td><td class="left">Puneeth Chaganti</td><td class="left"><a href="#sec-4_21">Pictures, Songs and Python</a></td></tr>
@@ -71,13 +72,15 @@
 <tr><td class="right">16:40-17:00</td><td class="left">Ramakrishna Reddy Yekulla</td><td class="left"><a href="#sec-4_13">Building and Packaging your Scientific Python Application For Linux Distributions</a></td></tr>
 <tr><td class="right">17:00-17:20</td><td class="left">Yogesh Karpate</td><td class="left"><a href="#sec-4_16">Automatic Proteomic Finger Printing using Scipy</a></td></tr>
 <tr><td class="right">17:20-17:40</td><td class="left">Manjusha Joshi</td><td class="left"><a href="#sec-4_15">SAGE for Scientific computing and Education enhancement</a></td></tr>
-<tr><td class="right">To be scheduled</td><td class="left">Karuna and/or Mangala</td><td class="left"><a href="#sec-4_23">Python based Galaxy workflow integration on GARUDA Grid</a></td></tr>
 </tbody>
 </table>
 
 
 
 
+
+
+
 <h2 id="sec-3">Invited Talks </h2>
 
 
@@ -1414,32 +1417,35 @@
 
 
 
-<h3 id="sec-4_21">Python based Galaxy workflow integration on GARUDA Grid</h3>
+
 
 
-<p>Karuna and/or Mangala
+<h3 id="sec-4_23">Python based Galaxy workflow integration on GARUDA Grid </h3>
+
+
+<p>Harikrishna
 </p>
 
 
 
-<h4 id="sec-4_23">Talk/Paper Abstract </h4>
+<h4 id="sec-4_23_1">Talk/Paper Abstract </h4>
+
 
-<p>
-Bioinformatics applications being complex problem involving multiple
-comparisons, alignment, mapping and analysis can be managed better using
-workflow solutions. Galaxy is an open web based platform developed in
-Python for genomic research. Python is a light weight dynamic language
-making Galaxy to be modular and expandable. Bioinformatics applications
-being compute and data intensive scale well in grid computing
-environments. In this paper we describe bringing the Galaxy workflow to
-the Garuda Grid computing infrastructure for enabling bioinformatics
-applications. GAURDA grid is an aggregation of heterogeneous resources and
-advanced capabilities for scientific applications. Here we present the
-integration of galaxy workflow tool with GARUDA grid middleware to enable
-computational biologists to perform complex problems on the grid
-environment through a web browser.
+<p>Bioinformatics applications being complex problem involving
+multiple comparisons, alignment, mapping and analysis can be
+managed better using workflow solutions. Galaxy is an open web
+based platform developed in Python for genomic research. Python
+is a light weight dynamic language making Galaxy to be modular
+and expandable. Bioinformatics applications being compute and
+data intensive scale well in grid computing environments. In
+this paper we describe bringing the Galaxy workflow to the
+Garuda Grid computing infrastructure for enabling bioinformatics
+applications. GAURDA grid is an aggregation of heterogeneous
+resources and advanced capabilities for scientific
+applications. Here we present the integration of galaxy workflow
+tool with GARUDA grid middleware to enable computational
+biologists to perform complex problems on the grid environment
+through a web browser.
 </p>
 
-
-
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