Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CpG island mediated linear and spatial gene partitioning (MOE430V2)

ABSTRACT: In order to study the gene expression change upon transcription factor (MYOD1, SPI1) induction, we reanalyzed published gene expression microarray data. Raw data were preprocessed and normalized with the Robust Multi-array Average (RMA)(Irizarry et al., 2003) method.

ORGANISM(S): Mus musculus

PROVIDER: GSE80792 | GEO | 2018/02/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

CpG island mediated linear and spatial gene partitioning (ChIP-seq)

Project description:In order to elucidate the general rules for gene localization and regulation mediated by CpG islands, we reanalyzed published ChIP-seq data of CXXC domain, H3K9me3, KDM2A, SUV39H1, ATF4, MYBL1, MYOD1, SPI1, and CTCF. Raw data were downloaded from Sequence Read Archive (SRA) in National Center for Biotechnology Information (NCBI) database. FASTQ files were extracted with the SRA Toolkit version 2.5.5 and aligned using Bowtie 2.2.5 onto the mouse and human genome (mm9 and hg19, respectively). For the identification of factor binding sites, model-based analysis for ChIP-seq peak caller (MACS 1.4.2) was used with a p-value cutoff of 1e-5.

2018-02-15 | GSE80791 | GEO

CpG island mediated linear and spatial gene partitioning (other data sets)

Project description:In order to elucidate the general rules for gene localization and regulation mediated by CpG islands, we reanalyzed diverse published data of DNaseI-seq, MeDIP-seq, LMNB1-DamID-seq, PolII ChIA-pet, and Hi-C analysis.

2018-02-15 | GSE80795 | GEO

CpG island mediated linear and spatial gene partitioning (RNA-seq)

Project description:We reanalyzed published RNA-seq data to study 1) the genomic landscapes near surrounding regions of transcriptional start sites with regard to the gene expression activities and 2) the gene expression change upon transcription factor (MYBL1, ATF4) depletion. Raw data were downloaded from Sequence Read Archive (SRA) in National Center for Biotechnology Information (NCBI) database. FASTQ files were extracted with the SRA Toolkit version 2.5.5 and aligned using STAR 2.4.2 onto the mouse and human genome (mm9 and hg19, respectively). Gene expression was calculated as RPKM values using rpkmforgenes.py (Ramsköld et al., 2009).

2018-02-15 | GSE80793 | GEO

Expression analysis of C. elegans genes daf-9 and daf-12 mutant

Project description:Investigation of whole genome gene expression level changes in C. elegans genes daf-9 and daf-12 mutant,compared to the wild-type strain NimbleScan software’s implementation of RMA offers quantile normalization and background correction. There are three steps of RMA: Firstly, background subtraction was performed using a local background estimator. Secondly, quantile normalization (Bioinformatics 2003; 19:185) at probe level was done to make the expression distributions the same for all arrays. Last, probe set summarization was performed using Robust Multichip Average (RMA) algorithm as described by Irizarry, et al. (Nucleic Acids Res. 2003; 31:e15 and Biostatistics 2003; 4:249).

2012-10-18 | GSE41661 | GEO

Expression analysis of C. elegans genes kin-1 and crh-1 mutant

Project description:Investigation of whole genome gene expression level changes in C. elegans genes kin-1 and crh-1 mutant, compared to the wild-type strain. NimbleScan software’s implementation of RMA offers quantile normalization and background correction. There are three steps of RMA: Firstly, background subtraction was performed using a local background estimator. Secondly, quantile normalization (Bioinformatics 2003; 19:185) at probe level was done to make the expression distributions the same for all arrays. Last, probe set summarization was performed using Robust Multichip Average (RMA) algorithm as described by Irizarry, et al. (Nucleic Acids Res. 2003; 31:e15 and Biostatistics 2003; 4:249).

2012-09-13 | GSE40809 | GEO

Mus musculus

Project description:MOE430 whole mouse - mouse colon dilution series - RMA preprocessed

| PRJNA91907 | ENA

CpG island mediated linear and spatial gene partitioning (pA+ RNA-seq profile)

Project description:In order to test the global effects of CpG island-centered gene regulation on global gene expression profile, pA+ RNA-seq data of diverse tissues and cell lines were gathered and profiled. All available mouse poly-A positive RNA-seq data (3,818 samples) were summarized and downloaded at May, 5th, 2015. Among them, excluding single cell RNA-seq or experiments whose expression verified gene counts are small (less than 5,000 genes with RPKM 0.5 or higher), 1,524 high quality RNA-seq data were used. Raw data were downloaded from Sequence Read Archive (SRA) in National Center for Biotechnology Information (NCBI) database. FASTQ files were extracted with the SRA Toolkit version 2.5.5 and aligned using STAR 2.4.2 onto the mouse and human genome (mm9 and hg19, respectively). Gene expression was calculated as RPKM values using rpkmforgenes.py (Ramsköld et al., 2009).

2018-02-15 | GSE80797 | GEO

Transcription profiling by array of older patients with cytogenetically normal AML with high or low BAALC- and ERG-related gene-expression signatures

Project description:Gene expression microarray data for analysis of BAALC- and ERG-related gene-expression signatures in older patients with cytogenetically normal AML. Summary measures of the expression levels were computed for each probe set using the robust multichip average method, which incorporates quantile normalization of arrays (Irizarry et al., 2003). The RMA data has not been submitted to ArrayExpress.

2011-09-08 | E-TABM-1072 | biostudies-arrayexpress

The effect of intermittent hypoxia on gene expression in the liver of ob/ob mice

Project description:All animals were kept in a controlled environment (22-24 °C with a 12 h : 12 h light : dark cycle; lights on at 09.00) on a standard chow diet with free access to water. Five ob/ob mice (sample_ids GSM32865-GSM32869) were placed in the intermittent hypoxia (IH) chamber and subjected to IH for 12 consecutive weeks and compared to pair-fed control exposed to intermittent room (IA) air for 12 weeks in identical chambers (n = 5, sample_ids GSM32860-GSM32864). The IH and IA states were induced during the light phase alternating with 12 h of constant room air during the dark phase. The IH and IA groups were weight-matched daily during the experiment by varying food intake. Weight-matching was conducted in pairs. The signal intensity fluorescent images produced during samples hybridizations to Affymetrix GeneChip were read using the Agilent Gene Array Scanner and converted into GeneChip Cell files (CEL) using MAS 5.0 software (Affymetrix, Santa Clara, CA). Gene expression values were generated form CEL files using Robust Microarray Analysis (RMA, Bioconductor affy package). Briefly, the rma module of this package was used for background correction, across array normalization, and extraction of the probe level data. Ref: Irizarry R, Gautier L, and Cope L, An R package for analyses of Affymetrix oligonucleotide arrays. The Analysis of Gene Expression Data: Methods and Software, ed. G Parmigiani,ES Garrett, RA Irizarry,and SL Zeger. 2003, New York: Springer Keywords: ordered

2004-10-27 | GSE1873 | GEO

Auxin mediated gene expression in WT and arf2-6 mutant

Project description:Global gene expression data from 7-day old light-grown liquid cultured seedlings treated with or without auxin (5µM IAA) for 2 h. Columbia (WT) and Auxin response factor 2 (ARF2) T-DNA insertion mutant (arf2-6 ) were used for this study. Each experimental condition has three true replicates for a total of 12 hybridizations. Data analysis: Affymetrix GeneChip Microarray Suite version 5.0 software was used to obtain signal values for individual genes. The data files containing the probe level intensities (cell files) were used for background correction and normalization using the log2 scale robust multi-array analysis (RMA) procedure (Irizarry et al., 2003). The “R” environment (Ihaka and Gentleman, 1996) was used for running the RMA program. Data analysis and statistical extraction were performed using log2 converted expression intensity data within Microsoft Excel 98. Based on preliminary analysis, a hybridization signal less than 5.64385619 (= log2 50) was considered as background; all signals less than 5.64385619 were converted to 5.64385619 prior to further analysis. Keywords = Auxin Keywords = Auxin response factor Keywords: other

2005-10-19 | GSE631 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data