Difference between revisions of "Bioinformatics commercial opportunities"
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* 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. | * 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: | ** Possible clients: | ||
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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). | 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). | ||
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| + | = Microarray bioinformatics expertise = | ||
==Overview== | ==Overview== | ||
| − | Collectively we have over ten years experience in spotted and Affymetrix microarray design and analysis. We are all trained statisticians with a broad range of classical statistical and bioinformatics skills. This expertise includes skills using the R/ | + | Collectively we have over ten years experience in spotted and Affymetrix microarray design and analysis. We are all trained statisticians with a broad range of classical statistical and bioinformatics skills. This expertise includes skills using the R/Bioconductor framework for data organization, exploration, normalization, and analysis using cutting edge algorithm methods. |
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| + | We are able to offer: | ||
*Good understanding of the underlying science behind microarray technology. | *Good understanding of the underlying science behind microarray technology. | ||
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*Experience with different data visualization quality control and exploration methods for summarizing experimental information. | *Experience with different data visualization quality control and exploration methods for summarizing experimental information. | ||
*Use of robust analysis methods which have higher statistical power by incorporating between gene information. | *Use of robust analysis methods which have higher statistical power by incorporating between gene information. | ||
| − | *Conceptual organization of phenotype and genotype information from a statistical perspective. | + | *Conceptual organization of phenotype and genotype information from a statistical design 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 programming environment depending on computing architecture used. | ||
*Ability to provide functional analysis using putative pathway information. | *Ability to provide functional analysis using putative pathway information. | ||
Latest revision as of 02:21, 22 May 2008
{{#security:edit|Mik Black,Sven}} {{#security:*|Mik Black, Sven}}
- 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 over ten years experience in spotted and Affymetrix microarray design and analysis. We are all trained statisticians with a broad range of classical statistical and bioinformatics skills. This expertise includes skills using the R/Bioconductor framework for data organization, exploration, normalization, and analysis using cutting edge algorithm methods.
We are able to offer:
- Good understanding of the underlying science behind microarray technology.
- Development of new methodology for the analysis of microarray data in Bioconductor.
- Experience with different data visualization quality control and exploration methods for summarizing experimental information.
- Use of robust analysis methods which have higher statistical power by incorporating between gene information.
- Conceptual organization of phenotype and genotype information from a statistical design perspective.
- Experience with data and algorithm memory limitations in the R programming environment depending on computing architecture used.
- Ability to provide functional analysis using putative pathway information.
- Experience with QTL mapping analysis.
- Use a collaborative framework which allows fast prototyping of microarray information for future database incorporation.
- Can provide output tailored to the needs of the client.
