Title | ||
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Non-canonical RNA-DNA differences and other human genomic features are enriched within very short tandem repeats. |
Abstract | ||
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Very short tandem repeats bear substantial genetic, evolutional, and pathological significance in genome analyses. Here, we compiled a census of tandem mono-nucleotide/di-nucleotide/tri-nucleotide repeats (MNRs/DNRs/TNRs) in GRCh38, which we term "polytracts" in general. Of the human genome, 144.4 million nucleotides (4.7%) are occupied by polytracts, and 0.47 million single nucleotides are identified as polytract hinges, i.e., break-points of tandem polytracts. Preliminary exploration of the census suggested polytract hinge sites and boundaries of AAC polytracts may bear a higher mapping error rate than other polytract regions. Further, we revealed landscapes of polytract enrichment with respect to nearly a hundred genomic features. We found MNRs, DNRs, and TNRs displayed noticeable difference in terms of locational enrichment for miscellaneous genomic features, especially RNA editing events. Non-canonical and C-to-U RNA-editing events are enriched inside and/or adjacent to MNRs, while all categories of RNA-editing events are under-represented in DNRs. A-to-I RNA-editing events are generally under-represented in polytracts. The selective enrichment of non-canonical RNA-editing events within MNR adjacency provides a negative evidence against their authenticity. To enable similar locational enrichment analyses in relation to polytracts, we developed a software Polytrap which can handle 11 reference genomes. Additionally, we compiled polytracts of four model organisms into a Track Hub which can be integrated into USCS Genome Browser as an official track for convenient visualization of polytracts. |
Year | DOI | Venue |
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2020 | 10.1371/journal.pcbi.1007968 | PLOS COMPUTATIONAL BIOLOGY |
DocType | Volume | Issue |
Journal | 16 | 6 |
ISSN | Citations | PageRank |
1553-734X | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hui Yu | 1 | 23 | 14.31 |
Shilin Zhao | 2 | 7 | 2.50 |
Scott Ness | 3 | 0 | 1.69 |
Huining Kang | 4 | 0 | 1.35 |
Quanhu Sheng | 5 | 22 | 5.61 |
David C. Samuels | 6 | 2 | 1.37 |
Olufunmilola Oyebamiji | 7 | 0 | 1.35 |
Ying-Yong Zhao | 8 | 0 | 0.68 |
Yan Guo | 9 | 1 | 2.71 |