Publication
Shannon entropy analysis of the genome code
| dc.contributor.author | Machado, J. A. Tenreiro | |
| dc.date.accessioned | 2014-02-06T14:43:29Z | |
| dc.date.available | 2014-02-06T14:43:29Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | This paper studies the chromosome information of twenty five species, namely, mammals, fishes, birds, insects, nematodes, fungus, and one plant. A quantifying scheme inspired in the state space representation of dynamical systems is formulated. Based on this algorithm, the information of each chromosome is converted into a bidimensional distribution. The plots are then analyzed and characterized by means of Shannon entropy. The large volume of information is integrated by averaging the lengths and entropy quantities of each species. The results can be easily visualized revealing quantitative global genomic information. | por |
| dc.identifier.doi | 10.1155/2012/132625 | pt_PT |
| dc.identifier.issn | 1024-123X | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/3735 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Hindawi Publishing Corporation | por |
| dc.relation.ispartofseries | Mathematical Problems in Engineering; Vol. 2012 | |
| dc.relation.publisherversion | http://www.hindawi.com/journals/mpe/2012/132625/ | por |
| dc.title | Shannon entropy analysis of the genome code | por |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 12 | por |
| oaire.citation.startPage | 1 | por |
| oaire.citation.title | Mathematical Problems in Engineering | por |
| oaire.citation.volume | Vol. 2012 | por |
| person.familyName | Tenreiro Machado | |
| person.givenName | J. A. | |
| person.identifier.ciencia-id | 7A18-4935-5B29 | |
| person.identifier.orcid | 0000-0003-4274-4879 | |
| person.identifier.rid | M-2173-2013 | |
| person.identifier.scopus-author-id | 55989030100 | |
| rcaap.rights | openAccess | por |
| rcaap.type | article | por |
| relation.isAuthorOfPublication | 82cd5c17-07b6-492b-b3e3-ecebdad1254f | |
| relation.isAuthorOfPublication.latestForDiscovery | 82cd5c17-07b6-492b-b3e3-ecebdad1254f |