Title |
ChromTime: modeling spatio-temporal dynamics of chromatin marks
|
---|---|
Published in |
Genome Biology, August 2018
|
DOI | 10.1186/s13059-018-1485-2 |
Pubmed ID | |
Authors |
Petko Fiziev, Jason Ernst |
Abstract |
To model spatial changes of chromatin mark peaks over time we develop and apply ChromTime, a computational method that predicts peaks to be either expanding, contracting, or holding steady between time points. Predicted expanding and contracting peaks can mark regulatory regions associated with transcription factor binding and gene expression changes. Spatial dynamics of peaks provide information about gene expression changes beyond localized signal density changes. ChromTime detects asymmetric expansions and contractions, which for some marks associate with the direction of transcription. ChromTime facilitates the analysis of time course chromatin data in a range of biological systems. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 12 | 24% |
United Kingdom | 8 | 16% |
Germany | 3 | 6% |
Spain | 2 | 4% |
France | 2 | 4% |
Pakistan | 1 | 2% |
Australia | 1 | 2% |
Iran, Islamic Republic of | 1 | 2% |
Canada | 1 | 2% |
Other | 4 | 8% |
Unknown | 16 | 31% |
Demographic breakdown
Type | Count | As % |
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Scientists | 29 | 57% |
Members of the public | 19 | 37% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Unknown | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 27% |
Researcher | 16 | 21% |
Student > Doctoral Student | 6 | 8% |
Student > Master | 6 | 8% |
Student > Bachelor | 4 | 5% |
Other | 7 | 9% |
Unknown | 16 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 26 | 35% |
Agricultural and Biological Sciences | 21 | 28% |
Computer Science | 4 | 5% |
Neuroscience | 2 | 3% |
Mathematics | 1 | 1% |
Other | 5 | 7% |
Unknown | 16 | 21% |