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Programming Services
The Bioinformatics Research Center's Programming Core offers assistance
with bioinformatics programming issues to members of the university
community. This can range from consultation and advice on programming
and technology issues to writing web pages and software to solve a
bioinformatics-related problem.
From time to time, the BRC also offers short courses in Perl and HTML.
Introductions to other programming topics could also be made available
(e.g. C++, PHP, XML, JavaScript, relational databases and SQL).
For more information please contact Dr. Dahlia Nielsen at
dahlia@statgen.ncsu.edu
(919) 515-2586,
or Chris Smith at
chris@statgen.ncsu.edu
(919) 515-8384.
Current and Completed Projects
The list below gives a brief description of some of the projects that the
BRC Programming Core has undertaken.
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Data warehouse and web site for the USDA-IFAFS grant "Wood and Fibre Quality
of Juvenile Pine".
This is a large project including a web site with the capability of uploading
new data files to the warehouse through a web browser; mechanisms for processing
microarray data via SAS; web-based graph plotting tools; data export tools.
The site is currently password protected, but an example screen-shot can be seen
here. (The site will be made publicly available when
the data are complete.)
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For the Purugganan Lab: a data pipeline for processing rice sequence
chromatogram files and tracking project progress.
This project is currently in use at the Purugganan lab. The code is now being
enhanced so that it is more generally applicable than the rice project for
which it was designed. The new version will become the processing pipeline
for all sequencing projects in the Purugganan lab and will start being used
in late April 2005.
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For Heike Winter: a tool to aid with the investigation of Arabidopsis
experimental results. This tool includes a chromosome-based expression
level viewer.
Try it out here.
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SAS code for formatting microarray (quantarray) data for SAS analysis.
This code combines an experimental design file, the printer output file,
the expression level values, and a gene list into a dataset suitable for
processing with SAS (or the SAS Microarray Solution). It has proved useful
in a number of different projects.
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Simple web page for the collaborative discussion of hookworm papers.
It can be viewed here
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| Page last updated: April 4, 2005 |
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