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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Douzono, H. Hara, S. Noguchi, Y. |
| Copyright Year | 2001 |
| Description | Author affiliation: Fac. of Sci. & Eng., Saga Univ., Japan (Douzono, H.) |
| Abstract | We introduce a design method of DNA chips using self-organizing maps (SOM). DNA chips are powerful tools for sequencing and SNP (single nucleotide polymorphism) analyses of DNA sequences. A DNA chip is an array of DNA probes which are hybridized with the compliment sub-sequences in the target sequence. However, conventional DNA chips are showing tendency to be comprised of longer probes and get larger in size to achieve a higher resolution. To shrink the size of DNA chips, the design is considered to be important. To solve this problem, we applied SOM to obtain common features of DNA sequences with small number of probes which efficiently cover the target sequence with sufficient resolution for finding the correct position of SNPs. We evaluated the DNA chips designed by SOM with computer simulations of SNP analyses, changing the length of probes and size of the maps. |
| Sponsorship | Int. Neural Network Soc. |
| Starting Page | 2467 |
| Ending Page | 2471 |
| File Size | 436073 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780370449 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2001.938754 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-07-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Design methodology Self organizing feature maps Sequences Probes Genomics Bioinformatics Computer vision Power engineering and energy DNA computing Humans |
| Content Type | Text |
| Resource Type | Article |
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