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An algorithm for structural variant detection with third generation sequencing

Descriptive

TitleInfo
Title
An algorithm for structural variant detection with third generation sequencing
Name (type = personal)
NamePart (type = family)
Chou
NamePart (type = given)
Hui-Jou
DisplayForm
Hui-Jou Chou
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Grigoriev
NamePart (type = given)
Andrey
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Andrey Grigoriev
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Advisory Committee
Role
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chair
Name (type = personal)
NamePart (type = family)
Shende
NamePart (type = given)
Sunil
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Sunil Shende
Affiliation
Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Birget
NamePart (type = given)
Jean-Camille
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Jean-Camille Birget
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
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school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2017
DateOther (qualifier = exact); (type = degree)
2017-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2017
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
We developed an algorithm to predict structural variants using long reads. We applied multiple signals including split-read, alignment mismatching and read-depth to identify structural variants in PacBio whole genome sequencing and found our results to be comparable to other structural variant detection algorithms. Our approach provides an effective way of detecting structural variants in long read datasets that can compensate for and complement the limitations and benefits of short reads.
Subject (authority = RUETD)
Topic
Computer Science
Subject (authority = ETD-LCSH)
Topic
Genomes--Structure
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_8198
PhysicalDescription
Form (authority = gmd)
electronic resource
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application/pdf
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text/xml
Extent
1 online resource (viii, 35 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Hui-Jou Chou
RelatedItem (type = host)
TitleInfo
Title
Camden Graduate School Electronic Theses and Dissertations
Identifier (type = local)
rucore10005600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T37W6FX0
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Chou
GivenName
Hui-Jou
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-05-04 20:33:42
AssociatedEntity
Name
hui-jou chou
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
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ETD
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windows xp
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1.5
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2017-05-08T04:50:28
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2017-05-08T04:50:28
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pdfTeX-1.40.17
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