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Series GSE61874 Query DataSets for GSE61874
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
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.
 
Overall design ChIP-seq of histone modifications and RNA-seq of total RNA in mouse ESCs and retinoic acid derived NPCs
 
Contributor(s) Molitor J, Mallm JP, Rippe K, Erdel F
Citation(s) 28131315
Submission date Sep 29, 2014
Last update date May 15, 2019
Contact name Jan-Philipp Mallm
Organization name DKFZ
Street address Im Neuenheimer Feld 267
City Heidelberg
ZIP/Postal code 69120
Country Germany
 
Platforms (1)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
Samples (40)
GSM1516068 ESC_input_1
GSM1516069 ESC_input_2
GSM1516070 ESC_IgG_1
Relations
Reanalysis of GSM1413868
Reanalysis of GSM1413870
BioProject PRJNA262580
SRA SRP048456

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE61874_bedgraphs.tar.gz 1.8 Gb (ftp)(http) TAR
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Raw data are available in SRA
Processed data are available on Series record

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