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Sample GSM845433 Query DataSets for GSM845433
Status Public on Jun 01, 2012
Title F6DPI
Sample type SRA
 
Source name Fusarium oxysporum infected whole plants
Organism Arabidopsis thaliana
Characteristics developmental stage: 3 week old seedling
ecotype: Col-0
tissue: whole plants
treatment: Fusarium oxysporum infected
Treatment protocol Fusarium oxysporum inoculation was perfomed using root dipping with 2 week old seedlings
Growth protocol Plants were grown under 16h light.
Extracted molecule total RNA
Extraction protocol The libraries were constructed according to the procedures detailed in the SOLiDTM Whole Transcriptome Analysis Kit using 1 μg of RQ1 DNase-treated and rRNA-depleted (two rounds of depletion using the RiboMinusTM Plant Kit, Invitrogen) total RNA
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model AB SOLiD System
 
Description rRNA depleted total RNA
Data processing F6DPI_TAIR10.bed; genome build: TAIR10
F6DPI_TAIR10_ROI.csv; genome build: TAIR10
RNA-seq reads were aligned to the TAIR10 Arabidopsis/Fusarium pseudo genome using the aligner Kanga. Alignment parameters were set to allow up to 5 aligner induced substitutions, microIndels up to 5 bp, splice junctions up to 10000 bp, and only accepting uniquely aligned reads which are at least one Hamming from any other putative alignment. Aligned reads were filtered and only those reads exclusively aligning to the TAIR10 Arabidopsis assembly were retained for subsequent processing. Retained Arabidopsis aligned reads were then mapped on to TAIR10 annotation loci for each individual class of annotation (protein-coding, psuedogene, transposon, miRNA, snoRNA, tRNA, ncRNA and geneid). The digital expression levels (RPKM, reads per kilobase of exon model per million mapped reads) of each annotated protein-coding gene were then calculated and used to identify differentially expressed genes in Fusarium oxysporum infected samples.)
 
Submission date Dec 07, 2011
Last update date May 15, 2019
Contact name Stuart Stephen
E-mail(s) stuart.stephen@csiro.au
Organization name CSIRO
Department Plant Industry
Lab Computational Biology
Street address Black Mountain
City Canberra
State/province ACT
ZIP/Postal code 2601
Country Australia
 
Platform ID GPL13396
Series (1)
GSE34241 RNA-seq-based analysis of the pathogen-induced defense transcriptome in Arabidopsis
Relations
SRA SRX110622
BioSample SAMN00763682

Supplementary file Size Download File type/resource
GSM845433_F6DPI_TAIR10.bed.gz 19.6 Mb (ftp)(http) BED
GSM845433_F6DPI_TAIR10_ROI.csv.gz 25.2 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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