Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA155515 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE30429: Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoGene array) GSE32998: Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoEx array) Refer to individual Series
2011-11-28 | E-GEOD-33183 | biostudies-arrayexpress
Project description:Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoGene array)
| PRJNA155493 | ENA
Project description:The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de.
2011-11-28 | GSE30429 | GEO
Project description:The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de.
2011-11-28 | GSE32998 | GEO
Project description:The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de. Alternative splicing and gene expression analysis during development of the heart and cardiomyoyte differentiation.
2011-11-28 | E-GEOD-30429 | biostudies-arrayexpress
Project description:The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de. Alternative splicing and gene expression analysis during development of the heart and cardiomyoyte differentiation.
2011-11-28 | E-GEOD-32998 | biostudies-arrayexpress
Project description:Microarray hybridization was used to compare RNA from mouse brains with opposite genotypes at the Mvb1 (Nxf1) modifier locus for known alternative processing events. 6 samples of total brain RNA, from 3 littermate pairs, were hybridized to splicing-sensitive microarrays *Addendum Depending on the analysis software used, these CEL files may not load correctly using default parameters. This is due to the custom chip type of MJAY not being used during the array scanning step. There are three workarounds known for this problem so far. 1) If using APT, use multiple --chip-type parameters. Specifically, --chip-type mjay --chip-type MJAY --chip-type MoEx-1_0-st-v1.1sq 2) Edit the CEL file by converting to text using the APT command apt-cel-convert, then replacing the MoEx-1_0-st-v1.1sq in the DatHeader line with MJAY (all caps). 3) Edit the .pgf, .clf, and antigenomics.bmp files to use the MoEx-1_0-st-v1.1sq array instead of MJAY for the chip_type and lib_set_name options. (works on AltAnalyze software)
2015-03-10 | E-GEOD-66696 | biostudies-arrayexpress
Project description:In this study, we compare the performance of RNA-seq (Illumina HiSeq) and junction arrays (Affymetrix Human Transcriptome array) for the analysis of splicing events. Three different cell lines were treated with CX-4945, a drug that severely affects splicing. To make a fair comparison, we developed EventPointer, an algorithm that detects and labels alternative splicing events in both junction arrays and RNA-seq. Common results and discrepancies between both technologies were validated or resolved by more than 200 PCRs.
2018-09-05 | GSE104973 | GEO
Project description:In this study, we compare the performance of RNA-seq (Illumina HiSeq) and junction arrays (Affymetrix Human Transcriptome array) for the analysis of splicing events. Three different cell lines were treated with CX-4945, a drug that severely affects splicing. To make a fair comparison, we developed EventPointer, an algorithm that detects and labels alternative splicing events in both junction arrays and RNA-seq. Common results and discrepancies between both technologies were validated or resolved by more than 200 PCRs.
2018-09-05 | GSE104610 | GEO