RUcore: Rutgers University Community Repository
Predicting genetic interactions in the human genome
Descriptive
TitleInfo
Title
Predicting genetic interactions in the human genome
TitleInfo
(type = alternative)
Title
Predicting genetic interactions in the mammalian genome
Name
(type = personal)
NamePart
(type = family)
Kawash
NamePart
(type = given)
Joseph
DisplayForm
Joseph Kawash
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Grigoriev
NamePart
(type = given)
Andrey
DisplayForm
Andrey Grigoriev
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Shain
NamePart
(type = given)
Daniel
DisplayForm
Daniel Shain
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Nam
NamePart
(type = given)
Jongmin
DisplayForm
Jongmin Nam
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Camden Graduate School
Role
RoleTerm
(authority = RULIB)
school
TypeOfResource
Text
Genre
(authority = marcgt)
theses
OriginInfo
DateCreated
(qualifier = exact)
2013
DateOther
(qualifier = exact);
(type = degree)
2013-05
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Genetic interaction and synthetic lethality are important tools that can be utilized to study the organization of a species genome. However genetic interaction information for mammalian and in particular human genomes is lacking when compared to other model organisms. This lack of information may be attributed to the difficulty and unreliability that seems to persist in acquiring information on genetic interactions from human cell lines. One method of resolving this problem is to use conserved genetic interactions identified in model organisms that can be extrapolated into the context of the mammalian genome. In this study, a survey is performed of genetic interaction networks from such model organisms including Saccharomyces cerevisiae, Drosophila melanogaster, and Caenorhabditis elegans to test the ability of predicting genetic interactions in mammalian genomes. Additional information supporting genetic interactions, from protein interaction datasets as well as human homologs, is used to reinforce the confidence in found potential interacting gene pairs. Using orthologous human gene identifiers, networks are overlaid in order to identify potentially conserved interactions for the purpose of identifying interacting genetic pairs in the mammalian genome. The common interactors are scored based on the model organism from which they were identified as well as their prevalence across different networks and supplemented through identification of homologous genes and human protein interactions. We find that there exist interacting gene pairs that are conserved between model organisms as well as human protein interactions. These interactions are verified using experimental information available from the literature to validate a subset of these findings.
Subject
(authority = RUETD)
Topic
Computational and Integrative Biology
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_4855
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
vii, 25 p. : ill.
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Joseph Kawash
Subject
(authority = ETD-LCSH)
Topic
Human genome
Subject
(authority = ETD-LCSH)
Topic
Human gene mapping
Subject
(authority = ETD-LCSH)
Topic
Genetic markers
Subject
(authority = ETD-LCSH)
Topic
Mammals--Cytology
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10005600001.ETD.000068576
RelatedItem
(type = host)
TitleInfo
Title
Camden Graduate School Electronic Theses and Dissertations
Identifier
(type = local)
rucore10005600001
Location
PhysicalLocation
(authority = marcorg);
(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3J101S4
Genre
(authority = ExL-Esploro)
ETD graduate
Back to the top
Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Kawash
GivenName
Joseph
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2013-05-12 23:12:30
AssociatedEntity
Name
Joseph Kawash
Role
Copyright holder
Affiliation
Rutgers University. Camden Graduate School
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2013-05-31
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = end)
2014-05-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 31st, 2014.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top
Technical
RULTechMD
(ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
Back to the top
Statistical Profile