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Series GSE104145 Query DataSets for GSE104145
Status Public on Mar 01, 2019
Title Defining transcription factor networks that govers SCC growth
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary This SuperSeries is composed of the SubSeries listed below.
 
Overall design Refer to individual Series
 
Citation(s) 30713093
Submission date Sep 22, 2017
Last update date Jul 25, 2021
Contact name Markus Schober
E-mail(s) markus.schober@nyulangone.org
Organization name New York University School of Medicine
Department Dermatology
Street address 550 First Ave, Smilow 407
City New York
State/province NY
ZIP/Postal code 10016
Country USA
 
Platforms (3)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
Samples (36)
GSM2790507 ATAC_SCC1_1
GSM2790508 ATAC_SCC1_2
GSM2790509 (HN)-SCC25_input
This SuperSeries is composed of the following SubSeries:
GSE104136 Defining transcription factor networks that govers SCC growth [ATAC-seq]
GSE104137 Defining transcription factor networks that govers SCC growth [ChIP_seq_hg19]
GSE104139 Defining transcription factor networks that govers SCC growth [RNA-Seq]
Relations
BioProject PRJNA411813

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
GSE104145_RAW.tar 3.7 Mb (http)(custom) TAR (of BED)
SRA Run SelectorHelp

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