| dc.contributor.advisor | Wolfe, Kenneth | |
| dc.contributor.author | Ó hÉigeartaigh, Seán | |
| dc.date.accessioned | 2019-11-13T13:25:54Z | |
| dc.date.available | 2019-11-13T13:25:54Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Seán Ó hÉigeartaigh, 'Picking the high hanging fruit : automated ways to annotate awkward genes', [thesis], Trinity College (Dublin, Ireland). Department of Genetics, 2012, pp 226 | |
| dc.identifier.other | THESIS 9764 | |
| dc.description.abstract | In Chapter 2 I describe the development of software called SearchDOGS (Database
of Orthologous Genomic Segments). By identifying regions of conserved local
synteny across species using the synteny information contained in the Yeast Gene
Order Browser (YGOB) and combining this information with standart BLAST
sequence similarity searches, SearchDOGS is able to identify unannotated genes in
published yeast genomes with a very high degree of sensitivity. | |
| dc.format | 1 volume | |
| dc.language.iso | en | |
| dc.publisher | Trinity College (Dublin, Ireland). Department of Genetics | |
| dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15157645 | |
| dc.subject | Genetics, Ph.D. | |
| dc.subject | Ph.D. Trinity College Dublin. | |
| dc.title | Picking the high hanging fruit : automated ways to annotate awkward genes | |
| dc.type | thesis | |
| dc.type.supercollection | thesis_dissertations | |
| dc.type.supercollection | refereed_publications | |
| dc.type.qualificationlevel | Doctoral | |
| dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
| dc.rights.ecaccessrights | openAccess | |
| dc.format.extentpagination | pp 226 | |
| dc.description.note | TARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |
| dc.identifier.uri | http://hdl.handle.net/2262/90462 | |
