Identify Down syndrome transcriptome associations using integrative analysis of microarray database and correlation-interaction network.
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Abstract | :
Long non-coding RNAs (lncRNAs) have previously been emerged as key players in a series of biological processes. Dysregulation of lncRNA is correlated to human diseases including neurological disorders. Here, we developed a multi-step bioinformatics analysis to study the functions of a particular Down syndrome-associated gene DSCR9 including the lncRNAs. The method is named correlation-interaction-network (COIN), based on which a pipeline is implemented. Co-expression gene network analysis and biological network analysis results are presented. |
Year of Publication | :
2018
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Journal | :
Human genomics
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Volume | :
12
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Issue | :
1
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Number of Pages | :
2
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Date Published | :
2018
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ISSN Number | :
1473-9542
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URL | :
https://humgenomics.biomedcentral.com/articles/10.1186/s40246-018-0133-y
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DOI | :
10.1186/s40246-018-0133-y
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Short Title | :
Hum Genomics
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