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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rosen, G.L. Moore, J.D. |
| Copyright Year | 2003 |
| Description | Author affiliation: Center for Signal & Image Process., Georgia Inst. of Technol., GA, USA (Rosen, G.L.; Moore, J.D.) |
| Abstract | We have all heard the term "cracking the genomic code", but is DNA a code in the information theoretic sense? The coined term "genetic code" maps nucleotide triplets (codons) to amino acids. However, this is in a computer coding sense because a codon instruction is performed to output an amino acid sequence. We examine methods to detect redundant coding structures in DNA. First, a finite field framework for a nucleotide symbolic sequence is presented; then approaches to finding the sequence structure associated with error correcting codes are examined. We compare a previously proposed parity-check vector search method to a novel subspace partitioning algorithm. The subspace partitioning algorithm is a general approach to finding any linear coding redundancy. Our method provides an easy way of visualizing coding potential in DNA sequences as shown from the test data. |
| Sponsorship | IEEE Signal Process, Soc |
| File Size | 323931 |
| File Format | |
| ISBN | 0780376633 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2003.1202370 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | DNA Sequences Amino acids Partitioning algorithms Genomics Bioinformatics Genetics Computer aided instruction Galois fields Error correction codes |
| Content Type | Text |
| Resource Type | Article |
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