Title |
EpiTEome: Simultaneous detection of transposable element insertion sites and their DNA methylation levels
|
---|---|
Published in |
Genome Biology, May 2017
|
DOI | 10.1186/s13059-017-1232-0 |
Pubmed ID | |
Authors |
Josquin Daron, R. Keith Slotkin |
Abstract |
The genome-wide investigation of DNA methylation levels has been limited to reference transposable element positions. The methylation analysis of non-reference and mobile transposable elements has only recently been performed, but required both genome resequencing and MethylC-seq datasets. We have created epiTEome, a program that detects both new transposable element insertion sites and their methylation states from a single MethylC-seq dataset. EpiTEome outperforms other split-read insertion site detection programs, even while functioning on bisulfite-converted reads. EpiTEome characterizes the previously discarded fraction of DNA methylation at sites of new insertions, enabling future investigation into the epigenetic regulation of non-reference and transposed elements. |
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Geographical breakdown
Country | Count | As % |
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United States | 13 | 19% |
France | 5 | 7% |
Australia | 5 | 7% |
United Kingdom | 4 | 6% |
Canada | 2 | 3% |
Austria | 2 | 3% |
Cameroon | 2 | 3% |
Argentina | 1 | 1% |
Russia | 1 | 1% |
Other | 5 | 7% |
Unknown | 27 | 40% |
Demographic breakdown
Type | Count | As % |
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Scientists | 33 | 49% |
Members of the public | 30 | 45% |
Science communicators (journalists, bloggers, editors) | 4 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Egypt | 1 | <1% |
Unknown | 134 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 24% |
Researcher | 31 | 23% |
Student > Master | 15 | 11% |
Student > Doctoral Student | 10 | 7% |
Student > Bachelor | 9 | 7% |
Other | 19 | 14% |
Unknown | 18 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 66 | 49% |
Biochemistry, Genetics and Molecular Biology | 30 | 22% |
Computer Science | 8 | 6% |
Engineering | 4 | 3% |
Social Sciences | 2 | 1% |
Other | 5 | 4% |
Unknown | 20 | 15% |