dc.contributor.author | Abdollahyan, M | en_US |
dc.contributor.author | Elgar, G | en_US |
dc.contributor.author | Smeraldi, F | en_US |
dc.date.accessioned | 2019-01-25T10:24:05Z | |
dc.date.available | 2017-12-04 | en_US |
dc.date.issued | 2018-12 | en_US |
dc.date.submitted | 2018-01-02T16:35:35.957Z | |
dc.identifier.issn | 0129-0541 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/54943 | |
dc.format.extent | 1345 - 1354 | en_US |
dc.relation.ispartof | INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE | en_US |
dc.rights | This is a pre-copyedited, author-produced version of an article accepted for publication in International Journal of Foundations of Computer Science following peer review. The version of record is available https://www.worldscientific.com/doi/abs/10.1142/S0129054118430074 | |
dc.subject | Regulatory element prediction | en_US |
dc.subject | transcription factor binding site co-occurrence | en_US |
dc.subject | partial order graphs | en_US |
dc.subject | dynamic programming | en_US |
dc.title | Identifying Potential Regulatory Elements by Transcription Factor Binding Site Alignment Using Partial Order Graphs | en_US |
dc.type | Article | |
dc.rights.holder | © 2019 World Scientific Publishing Co Pte Ltd | |
dc.identifier.doi | 10.1142/S0129054118430074 | en_US |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000454430200008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 8 | en_US |
pubs.notes | 12 months | en_US |
pubs.notes | From publication | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 29 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |