57 <tr><td class="right">11:00-11:45</td><td class="left">Stéfan van der Walt</td><td class="left"><b>Invited Talk</b>: <a href="#sec-3_7">In Pursuit of a Pythonic PhD</a></td></tr> |
58 <tr><td class="right">11:00-11:45</td><td class="left">Stéfan van der Walt</td><td class="left"><b>Invited Talk</b>: <a href="#sec-3_7">In Pursuit of a Pythonic PhD</a></td></tr> |
58 <tr><td class="right">11:45-12:15</td><td class="left">Dharhas Pothina</td><td class="left"><a href="#sec-4_6">HyPy & HydroPic: Using python to analyze hydrographic survey data</a></td></tr> |
59 <tr><td class="right">11:45-12:15</td><td class="left">Dharhas Pothina</td><td class="left"><a href="#sec-4_6">HyPy & HydroPic: Using python to analyze hydrographic survey data</a></td></tr> |
59 <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> |
60 <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> |
60 <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> |
61 <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> |
61 <tr><td class="right">13:05-14:05</td><td class="left"></td><td class="left">Lunch</td></tr> |
62 <tr><td class="right">13:05-14:05</td><td class="left"></td><td class="left">Lunch</td></tr> |
62 <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> |
63 <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> |
63 <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> |
64 <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> |
64 <tr><td class="right">14:25-14:35</td><td class="left"></td><td class="left">More Lightning Talks</td></tr> |
65 <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> |
65 <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> |
66 <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> |
66 <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> |
67 <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> |
67 <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> |
68 <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> |
68 <tr><td class="right">15:35-15:55</td><td class="left">Hrishikesh Deshpande</td><td class="left"><a href="#sec-4_5">Wavelet based denoising of ECG using Python</a></td></tr> |
69 <tr><td class="right">15:35-15:55</td><td class="left">Hrishikesh Deshpande</td><td class="left"><a href="#sec-4_5">Wavelet based denoising of ECG using Python</a></td></tr> |
69 <tr><td class="right">15:55-16:10</td><td class="left"></td><td class="left">Tea-Break</td></tr> |
70 <tr><td class="right">15:55-16:10</td><td class="left"></td><td class="left">Tea-Break</td></tr> |
70 <tr><td class="right">16:10-16:40</td><td class="left">Jarrod Millman</td><td class="left"><b>Invited Talk</b></td></tr> |
71 <tr><td class="right">16:10-16:40</td><td class="left">Jarrod Millman</td><td class="left"><b>Invited Talk</b></td></tr> |
71 <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> |
72 <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> |
72 <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> |
73 <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> |
73 <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> |
74 <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> |
74 <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> |
|
75 </tbody> |
75 </tbody> |
76 </table> |
76 </table> |
|
77 |
|
78 |
|
79 |
77 |
80 |
78 |
81 |
79 |
82 |
80 |
83 |
81 <h2 id="sec-3">Invited Talks </h2> |
84 <h2 id="sec-3">Invited Talks </h2> |
1412 |
1415 |
1413 |
1416 |
1414 |
1417 |
1415 |
1418 |
1416 |
1419 |
1417 <h3 id="sec-4_21">Python based Galaxy workflow integration on GARUDA Grid</h3> |
1420 |
1418 |
1421 |
1419 |
1422 |
1420 <p>Karuna and/or Mangala |
1423 <h3 id="sec-4_23">Python based Galaxy workflow integration on GARUDA Grid </h3> |
1421 </p> |
1424 |
1422 |
1425 |
1423 |
1426 <p>Harikrishna |
1424 |
1427 </p> |
1425 <h4 id="sec-4_23">Talk/Paper Abstract </h4> |
1428 |
1426 |
1429 |
1427 <p> |
1430 |
1428 Bioinformatics applications being complex problem involving multiple |
1431 <h4 id="sec-4_23_1">Talk/Paper Abstract </h4> |
1429 comparisons, alignment, mapping and analysis can be managed better using |
1432 |
1430 workflow solutions. Galaxy is an open web based platform developed in |
1433 |
1431 Python for genomic research. Python is a light weight dynamic language |
1434 <p>Bioinformatics applications being complex problem involving |
1432 making Galaxy to be modular and expandable. Bioinformatics applications |
1435 multiple comparisons, alignment, mapping and analysis can be |
1433 being compute and data intensive scale well in grid computing |
1436 managed better using workflow solutions. Galaxy is an open web |
1434 environments. In this paper we describe bringing the Galaxy workflow to |
1437 based platform developed in Python for genomic research. Python |
1435 the Garuda Grid computing infrastructure for enabling bioinformatics |
1438 is a light weight dynamic language making Galaxy to be modular |
1436 applications. GAURDA grid is an aggregation of heterogeneous resources and |
1439 and expandable. Bioinformatics applications being compute and |
1437 advanced capabilities for scientific applications. Here we present the |
1440 data intensive scale well in grid computing environments. In |
1438 integration of galaxy workflow tool with GARUDA grid middleware to enable |
1441 this paper we describe bringing the Galaxy workflow to the |
1439 computational biologists to perform complex problems on the grid |
1442 Garuda Grid computing infrastructure for enabling bioinformatics |
1440 environment through a web browser. |
1443 applications. GAURDA grid is an aggregation of heterogeneous |
1441 </p> |
1444 resources and advanced capabilities for scientific |
1442 |
1445 applications. Here we present the integration of galaxy workflow |
1443 |
1446 tool with GARUDA grid middleware to enable computational |
|
1447 biologists to perform complex problems on the grid environment |
|
1448 through a web browser. |
|
1449 </p> |
1444 |
1450 |
1445 {% endblock content %} |
1451 {% endblock content %} |