Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/95077
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOng, Yuquanen
dc.date.accessioned2013-01-31T01:09:24Zen
dc.date.accessioned2019-12-06T19:07:45Z-
dc.date.available2013-01-31T01:09:24Zen
dc.date.available2019-12-06T19:07:45Z-
dc.date.copyright2011en
dc.date.issued2011en
dc.identifier.citationOng, Y. (2011, March). Bio-computational analysis of human genomic variation in KCNH2 gene in chromosome 7. Presented at Discover URECA @ NTU poster exhibition and competition, Nanyang Technological University, Singapore.en
dc.identifier.urihttps://hdl.handle.net/10356/95077-
dc.description.abstractSNP, otherwise known as Single Nucleotide Polymorphism is the single nucleotide substitution of one base for another in the genetic sequence of individuals. Polymorphisms are related to traits specific to a particular ethnicity or population. Genetic Mutations, are a kind of genetic polymorphism, which is a difference in the genetic DNA sequence amongst individuals. Genetic mutations are more commonly associated with diseases. Hence, studies of SNPs is crucial in the study of health as they are able to predict an individual’s vulnerability to diseases. KCNH2 is the gene that codes for the voltage-gated potassium channels. Variations along this gene are the cause of numerous cardiac disorders. SNPs in this gene is useful in evaluating risks in other heart-related syndromes. [2nd Award]en
dc.language.isoenen
dc.rights© 2011 The Author(s).en
dc.subjectGalaxyen
dc.subjectSingle Nucleotide Polymorphismen
dc.titleBio-computational analysis of human genomic variation in KCNH2 gene in chromosome 7en
dc.typeStudent Research Posteren
dc.contributor.supervisorKwoh, Chee Keongen
dc.contributor.schoolSchool of Computer Engineeringen
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:URECA Posters
Files in This Item:
File Description SizeFormat 
SCE10105[1].pdf214.43 kBAdobe PDFThumbnail
View/Open

Page view(s) 10

632
Updated on Nov 29, 2020

Download(s) 50

191
Updated on Nov 29, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.