Difference between revisions of "DASWorkshop2010"

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(Day 2)
(Day 3)
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==Day 3==
 
==Day 3==
  
Suggested Topics:
+
Suggested Topics:
  
Content negotiation and efficient data formats
+
Content negotiation and efficient data formats
  
1: From molecules to sets. 2: Other dimensions: Samples.
+
how / if the big amounts data can be served via das
  
Writing a DAS client in C
+
DAS for high-density quantitative data.
 +
 
 +
1: From molecules to sets. 2: Other dimensions: Samples.
 +
 
 +
Writing a DAS client in C
 +
 
 +
Running DAS on amazon or google app engine. And seeing what changes have to be made to the dazzle code to enable this. I'd favour app engine.

Revision as of 15:00, 16 March 2010

DAS Workshop 2010 Schedule

Day 2

Time ProjectName Speaker Presentation
09:30 - 10:00 Arrival - Tea, Coffee.
10:00 Opening talk Tim Hubbard []
10:20 Collaborative genomics with DAS- a new interactive DAS client Thomas Down []
10:40 Progress to report on linking EMBOSS and DAS Peter Rice []
11:00 Visualization of sequence features with STRAP Christoph Gille []
11:20 easyDAS: a hosted solution for DAS server creation Bernat Gel []
11:40 Update on the DAS Registry Jonathan Warren []
12:00 DAS service to provide information on 3D motifs- PDBe Adel Golovin []
12:15-13:30 Lunch break
13:30 DAS Writeback and its integration in Dasty2 as a proof of concept Gustavo Salazar []
13:50 KaryoDAS: An Interactive Genome Visualization Tool Using DECIPHER Data Eugene Bragin/Manuel Corpas []
14:10 jsDAS: A javascript DAS client library Jose Villaveces/ Bernat Gel []
14:30 Interaction DAS Hagen Blankenburg []
14:50 Data integration in ENFIN using standards; the EnCore DAS service Rafael Jimenez []
15:10-15:30 coffee break
15:30 Text Mining DAS source Maximilian Haussler []
15:50 Update on the collaborative, web-based version of Apollo Gregg Helt []
16:10 Discussion/talk about activity organisation of next day - preliminary groups and chairs of groups []
16:30 []
16:50
17:10 Finish for the Day []
17:30

Day 3

Suggested Topics:
Content negotiation and efficient data formats
how / if the big amounts data can be served via das
DAS for high-density quantitative data.
1: From molecules to sets. 2: Other dimensions: Samples.
Writing a DAS client in C
Running DAS on amazon or google app engine. And seeing what changes have to be made to the dazzle code to enable this. I'd favour app engine.