Origin Replication Complex Binding, Nucleosome Depletion Patterns, and a Primary Sequence Motif Can Predict Origins of Replication in a Genome with Epigenetic Centromeres |
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Object Description
| Title | Origin Replication Complex Binding, Nucleosome Depletion Patterns, and a Primary Sequence Motif Can Predict Origins of Replication in a Genome with Epigenetic Centromeres |
| GAC Creator | Burrack, Laura S. |
| Other Creator | Tsai, Hung-Ji; Baller, Joshua A.; Liachko, Ivan; Koren, Amnon; Hickman, Meleah A.; Thevandavakkam, Mathuravani A.; Rusche, Laura N.; Berman, Judith |
| Description | In this study, we used origin recognition complex (ORC) binding and nucleosome occupancy patterns in Saccharomyces cerevisiae and Kluyveromyces lactis to train a machine learning algorithm to predict the position of active arm (noncentromeric) origins in the C.albicans genome. |
| Publication | mBio |
| Date Original | 2014 |
| Type | Text |
| Format | application/pdf (portable document) |
| Language | English |
| Citation | Tsai H-J, Baller JA, Liachko I, Koren A, Burrack LS, Hickman MA, Thevandavakkam MA, Rusche LN, Berman J. 2014. Origin replication complex binding, nucleosome depletion patterns, and a primary sequence motif can predict origins of replication in a genome with epigenetic centromeres. mBio 5(5):e01703-14. doi:10.1128/mBio.01703-14. |
| Rights Management | © 2014 Tsai et al. |
| Department |
Biology Department |
| Contributing Institution | Gustavus Adolphus College |
| Publication Type |
Journal Article |
| Digital Object Identifier (DOI) | http://dx.doi.org/10.1128/mBio.01703-14 |
| Date Online | 2017-12-21 |
Description
| Title | Origin Replication Complex Binding, Nucleosome Depletion Patterns, and a Primary Sequence Motif Can Predict Origins of Replication in a Genome with Epigenetic Centromeres |
| GAC Creator |
Burrack, Laura S. |
| Date Original | 2014 |
| Type | Text |
| Format | application/pdf (portable document) |
| Department |
Biology Department |
| Contributing Institution | Gustavus Adolphus College |
| Publication Type |
Journal Article |
| Date Online | 2017-12-21 |
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