Evidence map›Paper›PMID 24800246›Full record

ArticleBioMed research international2014

Identification of simple sequence repeat biomarkers through cross-species comparison in a tag cloud representation.

Jhen-Li Huang, Hao-Teng Chang, Ronshan Cheng, Hui-Huang Hsu, Tun-Wen Pai

Abstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jhen-Li HuangDepartment of Computer Science and Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan.ORCID 0000-0002-6560-074X
Hao-Teng ChangGraduate Institute of Basic Medical Science, China Medical University, Taichung City 40402, Taiwan ; Department of Computer Science and Information Engineering, Asia University, Taichung City 41354, Taiwan.ORCID 0000-0001-8756-5220
Ronshan ChengDepartment of Aquaculture, National Taiwan Ocean University, Keelung 20224, Taiwan.ORCID 0000-0002-2483-1218
Hui-Huang HsuDepartment of Computer Science and Information Engineering, Tamkang University, New Taipei City 25137, Taiwan.ORCID 0000-0003-1243-7405
Tun-Wen PaiDepartment of Computer Science and Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan.ORCID 0000-0002-2869-4169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Models, GeneticAnimalsComputer SimulationDatabases, GeneticDNAGenetic MarkersGenomicsHumansMicrosatellite RepeatsSpecies SpecificityDNAGenetic Markers

Identifiers

PMID24800246
PMCPMC3988901

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.