RUcore: Rutgers University Community Repository
RAS
Descriptive
TitleInfo
Title
RAS
SubTitle
an end to end suite for single-cell and standard RNA-Seq data analysis
Name
(type = personal)
NamePart
(type = family)
Kumar
NamePart
(type = given)
Nikhil
NamePart
(type = date)
1994-
DisplayForm
Nikhil Kumar
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Cai
NamePart
(type = given)
Li
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Li Cai
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Pierce
NamePart
(type = given)
Mark
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Mark Pierce
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Schloss
NamePart
(type = given)
Rene
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Rene Schloss
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Verzi
NamePart
(type = given)
Michael
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Michael Verzi
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
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(authority = RULIB)
school
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Text
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theses
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2017
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(type = degree)
2017-05
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2017
Place
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(type = code)
xx
Language
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(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
As RNA sequencing (RNA-Seq) becomes more affordable to process, the number of sequencing data has increased at a rapid rate. A major challenge in RNA-Seq experiments is the analysis of large amount of data generated by next-generation sequencing. RNA-Seq data analysis usually requires advanced Linux/Unix experience for software installation and tedious commands. This required skill set hinders scientists who are interested in analyzing RNA-Seq data but do not have Linux/Unix experience. Here, we describe an end to end pipeline for RNA-Seq Data Analysis Suite (RAS), which streamlines and speeds up analysis time for both standard and single-cell and standard RNA-Seq data. In addition, RAS is a standalone web application and contains an interface where Linux/Unix skills are not required for the data analysis. RAS creates a web server, where the user can interact with the pipeline on a browser. In addition, Since since RAS utilizes distributed computing, it uses computational resources efficiently. RAS The pipeline was validated on single-cell RNA-Seq datasets publicly available at the Gene Expression Omnibus (GEO) from the NCBI.
Subject
(authority = RUETD)
Topic
Biomedical Engineering
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_7931
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (viii, 43 p. : ill.)
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
RNA--Analysis
Subject
(authority = ETD-LCSH)
Topic
Bioinformatics
Note
(type = statement of responsibility)
by Nikhil Kumar
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3F47S14
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
Kumar
GivenName
Nikhil
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2017-04-04 14:15:39
AssociatedEntity
Name
Nikhil Kumar
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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
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(qualifier = exact);
(point = start)
2017-05-31
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = end)
2019-05-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 31st, 2019.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
(ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
CreatingApplication
Version
1.4
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pdfTeX-1.40.16
DateCreated
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2017-03-29T00:44:24
DateCreated
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2017-03-29T00:44:24
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Statistical Profile