Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Track normalization and averaging of epigenetic features across various cell and tissue types derived from Roadmap Epigenomic datasets

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE65050 | GEO | 2015/01/20

SECONDARY ACCESSION(S): PRJNA272798

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Track normalization and averaging of epigenetic features across various cell and tissue types derived from Roadmap Epigenomic datasets

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-01-20 | E-GEOD-65050 | biostudies-arrayexpress

Track normalization and averaging of H3K4me3 ChIP-seq data across various cell and tissue types.

Project description:Data tracks from chromatin immunoprecipitation followed by high throughput sequencing (ChIP-seq) experiments were sorted by tissue or cell types and processed using an in-house algorithm that provides normalization functionality followed by generation of a track average.

2015-01-20 | GSE65049 | GEO

Track normalization and averaging of bislufite-seq DNA methylation data across various cell and tissue types

2015-01-20 | GSE64577 | GEO

Track normalization and averaging of H3K4me3 ChIP-seq data across various cell and tissue types.

2015-01-20 | E-GEOD-65049 | biostudies-arrayexpress

Track normalization and averaging of bislufite-seq DNA methylation data across various cell and tissue types

Project description:Data tracks from bisulfite sequencing (BS-seq) experiments were sorted by tissue or cell types and processed using an in-house algorithm that provides normalization functionality followed by generation of a track average. Re-analysis of Roadmap Epigenomics DNA methylation datasets using an in-house algorithm to create an average data track.

2015-01-20 | E-GEOD-64577 | biostudies-arrayexpress

Track normalization and averaging of H3K4me3 ChIP-seq data across various cell and tissue types from Mouse ENCODE.

Project description:Data tracks from chromatin immunoprecipitation followed by high throughput sequencing (ChIP-seq) experiments were processed using an in-house algorithm that provides normalization functionality followed by generation of a track average.

2015-10-09 | GSE73834 | GEO

Generation of Gene Ontology benchmark datasets with various types of positive signal.

Project description: Not available

| S-EPMC2762998 | biostudies-literature

S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types.

Project description: Not available

| S-EPMC8479670 | biostudies-literature

Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets.

Project description: Not available

| S-EPMC7936394 | biostudies-literature

The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets.

Project description: Not available