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Status |
Public on Dec 31, 2016 |
Title |
Retrieving Chromatin Patterns from Deep Sequencing Data Using Correlation Functions. |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing Genome binding/occupancy profiling by high throughput sequencing
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Summary |
Robust comparison of deep-sequencing data sets is often hampered by differences in their pattern structure or signal-to-noise ratio. Here, we established multi-scale correlation evaluation (MCORE), a method to dissect and compare the genome-wide topology of chromatin features. We applied MCORE to Hi-C, ChIA-PET, ChIP-seq, RNA-seq and Bisulfite-seq data from mouse embryonic stem cells and neural cells to track the extension, transformation and spatial repositioning of chromatin domains during differentiation.
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Overall design |
ChIP-seq of histone modifications and RNA-seq of total RNA in mouse ESCs and retinoic acid derived NPCs
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Contributor(s) |
Molitor J, Mallm JP, Rippe K, Erdel F |
Citation(s) |
28131315 |
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Submission date |
Sep 29, 2014 |
Last update date |
May 15, 2019 |
Contact name |
Jan-Philipp Mallm |
Organization name |
DKFZ
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Street address |
Im Neuenheimer Feld 267
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City |
Heidelberg |
ZIP/Postal code |
69120 |
Country |
Germany |
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Platforms (1) |
GPL13112 |
Illumina HiSeq 2000 (Mus musculus) |
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Samples (40)
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Relations |
Reanalysis of |
GSM1413868 |
Reanalysis of |
GSM1413870 |
BioProject |
PRJNA262580 |
SRA |
SRP048456 |