Abstract
We report the development of a novel computational system, NanoSNP. The system is based around semiconductor nanocrystals or quantum dots (QDs), QDs herald the arrival of bio-nanotechnology and due to inherent advantages are currently replacing organic dyes as the probe of choice in fluorescent measurement for biology. QD encoded microspheres consist of various sizes of QD at various intensities polymerized within a latex or polystyrene bead to yield a unique spectral signature. To facilitate high-throughput SNP genotyping using QD encoded microspheres we have integrated bioinformatics and spectral analysis to create a user friendly system. Features of the system include SNP selection, QD microsphere design, oligonucleotide conjugate sequence output and QD microsphere identification.
Highlights
NanoSNP: A computational platform for high throughput Quantum Dot encoded microsphere SNP genotyping Colin Clarke*, Michael Malecha and Selly Saini
We report the development of a novel computational system, NanoSNP
The system is based around semiconductor nanocrystals or quantum dots (QDs), QDs herald the arrival of bio-nanotechnology and due to inherent advantages are currently replacing organic dyes as the probe of choice in fluorescent measurement for biology
Summary
NanoSNP: A computational platform for high throughput Quantum Dot encoded microsphere SNP genotyping Colin Clarke*, Michael Malecha and Selly Saini. Address: Cranfield University, Department of Analytical Science and Informatics (DASI). Email: Colin Clarke* - c.clarke.s03@cranfield.ac.uk * Corresponding author from BioSysBio: Bioinformatics and Systems Biology Conference Edinburgh, UK, 14–15 July 2005 Published: 21 September 2005 BMC Bioinformatics 2005, 6(Suppl 3):P5
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