Difference between revisions of "Bioinformatics commercial opportunities"
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*Good understanding of the underlying science behind microarray analysis | *Good understanding of the underlying science behind microarray analysis | ||
| − | *Conceptual organization of phenotype and genotype information from | + | *Conceptual organization of phenotype and genotype information from a statistical perspective. |
| − | a statistical perspective. | + | *Experience with data and algorithm memory limitations in the R programming environment depending on computing architecture used. |
| − | *Experience with data and algorithm memory limitations in the R | + | *Experience with different data visualization quality control and exploration methods for quickly summarizing experimental information. |
| − | programming environment depending on computing architecture used. | + | *Use of robust analysis methods which have higher statistical power by incorporating between gene information. |
| − | *Experience with different data visualization quality control and | + | *Ability to provide functional analysis using putative pathway information and QTL mapping analysis expertise. |
| − | exploration methods for quickly summarizing experimental information. | + | *Use a collaborative framework which allows fast prototyping of microarray information for future database incorporation. |
| − | *Use of robust analysis methods which have higher statistical power | ||
| − | by incorporating between gene information. | ||
| − | *Ability to provide functional analysis using putative pathway | ||
| − | information and QTL mapping analysis expertise. | ||
| − | *Use a collaborative framework which allows fast prototyping of | ||
| − | microarray information for future database incorporation. | ||
*Can provide output catered for the client. | *Can provide output catered for the client. | ||
Revision as of 19:18, 18 July 2006
- Possiblity of developing a commercial enterprise involving the provision of technical support and training in the setting up of open source project/content management systems.
- Possible clients:
- Businesses (e.g., companies trading in something tangible).
- Research-based institutes (e.g., CRIs, universities).
- Possible clients:
- internal wiki, internal web portal (e.g., plone, mambo, monotone, joomla, R etc). Open source operating system, Ubuntu. Remote technical support using open source VNC, and Skype.
Selling feature : Make use of tried and tested open source software already out there to minimize software licensing costs. All content is managed in an open source document management framework, including semi-automated scripts allowing reinstallation of software with comprehensive documentation (using ActivePerl).
Microarray bioinformatics expertise
Overview
Collectively we have several years experience in effective cDNA microarray design and analysis. This expertise includes skills using the R/bioconductor framework for data organization, exploration, normalization, and analysis using cutting edge algorithm methods.
- Good understanding of the underlying science behind microarray analysis
- Conceptual organization of phenotype and genotype information from a statistical perspective.
- Experience with data and algorithm memory limitations in the R programming environment depending on computing architecture used.
- Experience with different data visualization quality control and exploration methods for quickly summarizing experimental information.
- Use of robust analysis methods which have higher statistical power by incorporating between gene information.
- Ability to provide functional analysis using putative pathway information and QTL mapping analysis expertise.
- Use a collaborative framework which allows fast prototyping of microarray information for future database incorporation.
- Can provide output catered for the client.
