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Capturing cell type-specific chromatin compartment patterns by applying topic modeling to single-cell Hi-C data.
Kim, Hyeon-Jin; Yardimci, Galip Gürkan; Bonora, Giancarlo; Ramani, Vijay; Liu, Jie; Qiu, Ruolan; Lee, Choli; Hesson, Jennifer; Ware, Carol B; Shendure, Jay; Duan, Zhijun; Noble, William Stafford.
Affiliation
  • Kim HJ; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Yardimci GG; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Bonora G; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Ramani V; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Liu J; Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, United States of America.
  • Qiu R; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Lee C; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Hesson J; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Ware CB; Department of Comparative Medicine, University of Washington, Seattle, Washington, United States of America.
  • Shendure J; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America.
  • Duan Z; Department of Comparative Medicine, University of Washington, Seattle, Washington, United States of America.
  • Noble WS; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America.
PLoS Comput Biol ; 16(9): e1008173, 2020 09.
Article in En | MEDLINE | ID: mdl-32946435
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromatin / Computational Biology / Single-Cell Analysis / High-Throughput Nucleotide Sequencing Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromatin / Computational Biology / Single-Cell Analysis / High-Throughput Nucleotide Sequencing Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: Country of publication: