• Title/Summary/Keyword: GENCODE

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Genome-Wide Identification and Classification of MicroRNAs Derived from Repetitive Elements

  • Gim, Jeong-An;Ha, Hong-Seok;Ahn, Kung;Kim, Dae-Soo;Kim, Heui-Soo
    • Genomics & Informatics
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    • v.12 no.4
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    • pp.261-267
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    • 2014
  • MicroRNAs (miRNAs) are known for their role in mRNA silencing via interference pathways. Repetitive elements (REs) share several characteristics with endogenous precursor miRNAs. In this study, 406 previously identified and 1,494 novel RE-derived miRNAs were sorted from the GENCODE v.19 database using the RepeatMasker program. They were divided into six major types, based on their genomic structure. More novel RE-derived miRNAs were confirmed than identified as RE-derived miRNAs. In conclusion, many miRNAs have not yet been identified, most of which are derived from REs.

Human Transcriptome and Chromatin Modifications: An ENCODE Perspective

  • Shen, Li;Choi, Inchan;Nestler, Eric J.;Won, Kyoung-Jae
    • Genomics & Informatics
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    • v.11 no.2
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    • pp.60-67
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    • 2013
  • A decade-long project, led by several international research groups, called the Encyclopedia of DNA Elements (ENCODE), recently released an unprecedented amount of data. The ambitious project covers transcriptome, cistrome, epigenome, and interactome data from more than 1,600 sets of experiments in human. To make use of this valuable resource, it is important to understand the information it represents and the techniques that were used to generate these data. In this review, we introduce the data that ENCODE generated, summarize the observations from the data analysis, and revisit a computational approach that ENCODE used to predict gene expression, with a focus on the human transcriptome and its association with chromatin modifications.