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Series GSE56097 Query DataSets for GSE56097
Status Public on Aug 11, 2014
Title Development of an RNAseq-based oligonucleotide microarray to study global gene expression profile in the guinea pig animal model
Organism Cavia porcellus
Experiment type Expression profiling by high throughput sequencing
Summary In 2008 the GP genome was sequenced to a depth of ~7X full coverage, and last updated in 2010. However, because of the lack of cDNA and protein resources the GP genome is at present poorly annotated. Thus, in order to address this issue we performed an in-depth mRNA sequencing of the lung and skeletal muscles transcriptomes and used this to annotate the available GP genome for transcribed sequences. We then used this information to design and validate a custom Agilent microarray platform (GSE51601).
 
Overall design Transcriptome sequencing was performed using Illumina sequencing. Briefly, NCBI and Ensembl transcripts of GP were combined with transcripts constructed from Illumina paired end reads using the TopHat and Cufflinks algorithms [20, 21]. Microarray probe sequences were then chosen based on the combined transcriptome assembly.
 
Contributor(s) Davidsen P, Herbert J, Falciani F
Citation(s) 25228925
Submission date Mar 21, 2014
Last update date May 15, 2019
Contact name Peter Davidsen
E-mail(s) pkdavidsen@gmail.com
Organization name University of Liverpool
Street address Crown Street
City Liverpool
State/province Merseyside
ZIP/Postal code L69 7ZB
Country United Kingdom
 
Platforms (1)
GPL17296 Illumina HiSeq 2000 (Cavia porcellus)
Samples (4)
GSM1355148 Lung_rep1
GSM1355149 Lung_rep2
GSM1355150 Muscle_rep1
This SubSeries is part of SuperSeries:
GSE56099 A systems biology approach reveals a link between systemic cytokines and skeletal muscle energy metabolism in a rodent smoking model and human COPD
Relations
BioProject PRJNA242409
SRA SRP040447

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
GSE56097_Cufflinks_CuffDiff_gene_exp.txt.gz 4.0 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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