Difference between revisions of "Call Minutes"
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* [[ISMB 2010: Workshop on Analysis of Large Datasets]]: '''Analysis of Large Datasets''' | * [[ISMB 2010: Workshop on Analysis of Large Datasets]]: '''Analysis of Large Datasets''' | ||
* [[ISMB 2010: Workshop on Managing large data sets in core facilities]]: '''Logistics of Managing large data sets''' | * [[ISMB 2010: Workshop on Managing large data sets in core facilities]]: '''Logistics of Managing large data sets''' | ||
− | * [[ | + | * [[7th Discussion-1 March 2010]]: '''Analysing Large Scale Image Data; Recruiting and retaining bioinformatics staff.''' |
Revision as of 09:13, 12 October 2010
On a rough quarterly basis, bioinfo-core members participate in discussions of topical interest. These occur either through a conference call or during BoF sessions at the annual ISMB conference.
Please find below minutes and/or slide presentations from the quarterly meetings.
Minutes
- 15 October 2007: Solexa Sequencing from ILMN's pipeline to Infrastructure requirements.
- 4 February 2008: Education for Biologists; Tools utilized by Biologists and Cores.
- 8 May 2008: BoF's at ISMB 08 Call for presentations; Handling ePHI, and Cloud/SaaS related ePHI.
- ISMB 2008: BoF on next-gen sequencing: Practical Aspects of Running a Next-Gen Sequencing Core
- ISMB 2008: BoF on best practices in running bioinformatics cores: What makes bioinformatics cores succeed?
- 9 Feb 2009: BoF's at ISMB 08 Call for presentations; Handling ePHI, and Cloud/SaaS related ePHI.
- ISMB 2009: Workshop on Post Analysis of NGS Data: Post-analysis of short-reads
- ISMB 2009: Workshop on Setting priorities in cores facilities: Setting priorities for a core
- 7th Discussion-5 October 2009: Analyzing Chip-Seq experiments; What to do with Desktop analysis software.
- ISMB 2010: Workshop on Analysis of Large Datasets: Analysis of Large Datasets
- ISMB 2010: Workshop on Managing large data sets in core facilities: Logistics of Managing large data sets
- 7th Discussion-1 March 2010: Analysing Large Scale Image Data; Recruiting and retaining bioinformatics staff.