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Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes
Changes in chromatin state play important roles in cell fate transitions. Current computational approaches to analyze chromatin modifications across multiple cell types do not model how the cell types are related on a lineage or over time. To overcome this limitation, we developed a method called Ch...
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| Pubblicato in: | Genome Res |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cold Spring Harbor Laboratory Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5495076/ https://ncbi.nlm.nih.gov/pubmed/28424352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.215004.116 |
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