The Resource High-throughput analysis and advanced search for visually-observed phenotypes

High-throughput analysis and advanced search for visually-observed phenotypes

Label
High-throughput analysis and advanced search for visually-observed phenotypes
Title
High-throughput analysis and advanced search for visually-observed phenotypes
Creator
Author
Subject
Language
eng
Summary
The trend in many scientific disciplines today, especially in biology and genetics, is towards larger scale experiments in which a tremendous amount of data is generated. As imaging of data becomes increasingly more popular in experiments related to phenotypes, the ability to perform high-throughput big data analyses and to efficiently locate specific information within these data based on increasingly complicated and varying search criteria is of great importance to researchers. This research develops several methods for high-throughput phenotype analysis. This notably includes a registration algorithm called variable object pattern matching for mapping multiple indistinct and dynamic objects across images and detecting the presence of missing, extra, and merging objects. Research accomplishments resulted in a number of unique advanced search mechanisms including a retrieval engine that integrates multiple phenotype text sources and domain ontologies and a search method that retrieves objects based on temporal semantics and behavior. These search mechanisms represent the first of their kind in the phenotype community. While this computational framework is developed primarily for the plant community, it has potential applications in other domains including the medical field
Cataloging source
MUU
http://library.link/vocab/creatorName
Green, Jason Michael
Degree
Ph. D.
Dissertation note
Thesis
Dissertation year
2012.
Government publication
government publication of a state province territory dependency etc
Granting institution
University of Missouri--Columbia,
Index
no index present
Literary form
non fiction
Nature of contents
dictionaries
Label
High-throughput analysis and advanced search for visually-observed phenotypes
Instantiates
Publication
Contributor
Thesis advisor
Note
Advisor: Chi-Ren Shyu
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Control code
872569135
Extent
1 online resource (xv, 177 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Specific material designation
remote
System control number
(OCoLC)872569135
Label
High-throughput analysis and advanced search for visually-observed phenotypes
Publication
Contributor
Thesis advisor
Note
Advisor: Chi-Ren Shyu
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Control code
872569135
Extent
1 online resource (xv, 177 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Specific material designation
remote
System control number
(OCoLC)872569135

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