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Series GSE225173 Query DataSets for GSE225173
Status Public on Jun 03, 2024
Title Predicting age in single cells and low coverage DNA methylation data
Organism Mus musculus
Experiment type Methylation profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary This SuperSeries is composed of the SubSeries listed below.
 
Overall design Refer to individual Series
 
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Submission date Feb 13, 2023
Last update date Jun 04, 2024
Contact name Laura Biggins
E-mail(s) laura.biggins@babraham.ac.uk
Organization name The Babraham Institute
Department Bioinformatics
Street address Babraham Research Campus
City Cambridge
ZIP/Postal code CB22 3AT
Country United Kingdom
 
Platforms (2)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
Samples (250)
GSM7040480 M04-20525_3M_Liver_iPCRtag1
GSM7040481 M00017913_15M_Heart_iPCRtag82
GSM7040482 M04-20526_3M_Liver_iPCRtag9
This SuperSeries is composed of the following SubSeries:
GSE225166 Predicting age in single cells and low coverage DNA methylation data [RRBS]
GSE225171 Predicting age in single cells and low coverage DNA methylation data [scBS]
GSE225172 Predicting age in single cells and low coverage DNA methylation data [scRNA]
Relations
BioProject PRJNA934287

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
GSE225173_RAW.tar 7.6 Gb (http)(custom) TAR (of COV, TAR)
SRA Run SelectorHelp
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