Artificial intelligence for the detection of AOX functional markers
| dc.contributor.author | Quaresma, Paulo | |
| dc.contributor.author | Gonçalves, Teresa | |
| dc.contributor.author | Abreu, Salvador | |
| dc.contributor.author | Costa, José Hélio | |
| dc.contributor.author | Mashayekhi, Kaveh | |
| dc.contributor.author | Arnholdt-Schmitt, Birgit | |
| dc.contributor.author | Svensson, Jan T. | |
| dc.date.accessioned | 2016-02-16T11:41:36Z | |
| dc.date.available | 2016-02-16T11:41:36Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Functional markers were defined in 2003 by Andersen and Lubberstedt as “markers derived from polymorphic sites within genes causally involved in phenotypic trait variation”. The starting point for development of a FM is to sequence a gene with known function to obtain polymorphic sequences. Several steps of bioinformatics/statistical analysis are needed; matching of sequence reads to a reference gene, variant detection and association of polymorphic alleles with phenotypic variation. | por |
| dc.identifier.authoremail | pq@uevora.pt | |
| dc.identifier.authoremail | tcg@uevora.pt | |
| dc.identifier.authoremail | spa@uevora.pt | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.doi | 10.1002/9781118789971.ch14 | por |
| dc.identifier.scientificarea | 498 | por |
| dc.identifier.uri | http://hdl.handle.net/10174/17357 | |
| dc.language.iso | eng | por |
| dc.publisher | John Wiley & Sons, Ltd | por |
| dc.rights | restrictedAccess | por |
| dc.title | Artificial intelligence for the detection of AOX functional markers | por |
| dc.type | bookPart | por |
| degois.publication.firstPage | 261 | por |
| degois.publication.lastPage | 266 | por |
| degois.publication.title | Alternative respiratory pathways in higher plants | por |