Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation
Simple sequence repeats (SSRs) are not only applied as genetic markers in evolutionary studies but they also play an important role in gene regulatory activities. Efficient identification of conserved and exclusive SSRs through cross-species comparison is helpful for understanding the evolutionary m...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2014/678971 |
id |
doaj-783f420019314192a937acc0f943cd22 |
---|---|
record_format |
Article |
spelling |
doaj-783f420019314192a937acc0f943cd222020-11-25T00:04:03ZengHindawi LimitedBioMed Research International2314-61332314-61412014-01-01201410.1155/2014/678971678971Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud RepresentationJhen-Li Huang0Hao-Teng Chang1Ronshan Cheng2Hui-Huang Hsu3Tun-Wen Pai4Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung 20224, TaiwanGraduate Institute of Basic Medical Science, China Medical University, Taichung City 40402, TaiwanDepartment of Aquaculture, National Taiwan Ocean University, Keelung 20224, TaiwanDepartment of Computer Science and Information Engineering, Tamkang University, New Taipei City 25137, TaiwanDepartment of Computer Science and Engineering, National Taiwan Ocean University, Keelung 20224, TaiwanSimple sequence repeats (SSRs) are not only applied as genetic markers in evolutionary studies but they also play an important role in gene regulatory activities. Efficient identification of conserved and exclusive SSRs through cross-species comparison is helpful for understanding the evolutionary mechanisms and associations between specific gene groups and SSR motifs. In this paper, we developed an online cross-species comparative system and integrated it with a tag cloud visualization technique for identifying potential SSR biomarkers within fourteen frequently used model species. Ultraconserved or exclusive SSRs among cross-species orthologous genes could be effectively retrieved and displayed through a friendly interface design. Four different types of testing cases were applied to demonstrate and verify the retrieved SSR biomarker candidates. Through statistical analysis and enhanced tag cloud representation on defined functional related genes and cross-species clusters, the proposed system can correctly represent the patterns, loci, colors, and sizes of identified SSRs in accordance with gene functions, pattern qualities, and conserved characteristics among species.http://dx.doi.org/10.1155/2014/678971 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jhen-Li Huang Hao-Teng Chang Ronshan Cheng Hui-Huang Hsu Tun-Wen Pai |
spellingShingle |
Jhen-Li Huang Hao-Teng Chang Ronshan Cheng Hui-Huang Hsu Tun-Wen Pai Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation BioMed Research International |
author_facet |
Jhen-Li Huang Hao-Teng Chang Ronshan Cheng Hui-Huang Hsu Tun-Wen Pai |
author_sort |
Jhen-Li Huang |
title |
Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation |
title_short |
Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation |
title_full |
Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation |
title_fullStr |
Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation |
title_full_unstemmed |
Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation |
title_sort |
identification of simple sequence repeat biomarkers through cross-species comparison in a tag cloud representation |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2014-01-01 |
description |
Simple sequence repeats (SSRs) are not only applied as genetic markers in evolutionary studies but they also play an important role in gene regulatory activities. Efficient identification of conserved and exclusive SSRs through cross-species comparison is helpful for understanding the evolutionary mechanisms and associations between specific gene groups and SSR motifs. In this paper, we developed an online cross-species comparative system and integrated it with a tag cloud visualization technique for identifying potential SSR biomarkers within fourteen frequently used model species. Ultraconserved or exclusive SSRs among cross-species orthologous genes could be effectively retrieved and displayed through a friendly interface design. Four different types of testing cases were applied to demonstrate and verify the retrieved SSR biomarker candidates. Through statistical analysis and enhanced tag cloud representation on defined functional related genes and cross-species clusters, the proposed system can correctly represent the patterns, loci, colors, and sizes of identified SSRs in accordance with gene functions, pattern qualities, and conserved characteristics among species. |
url |
http://dx.doi.org/10.1155/2014/678971 |
work_keys_str_mv |
AT jhenlihuang identificationofsimplesequencerepeatbiomarkersthroughcrossspeciescomparisoninatagcloudrepresentation AT haotengchang identificationofsimplesequencerepeatbiomarkersthroughcrossspeciescomparisoninatagcloudrepresentation AT ronshancheng identificationofsimplesequencerepeatbiomarkersthroughcrossspeciescomparisoninatagcloudrepresentation AT huihuanghsu identificationofsimplesequencerepeatbiomarkersthroughcrossspeciescomparisoninatagcloudrepresentation AT tunwenpai identificationofsimplesequencerepeatbiomarkersthroughcrossspeciescomparisoninatagcloudrepresentation |
_version_ |
1725431312366436352 |