MaloofLab / Brapa-microbes-timecourse-2018

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Brapa-microbes-timecourse-2018

RNAseq analysis of microbe experiment run by Marc Brock.

RNA libraries prepared by Amaryllis and sequenced at UCD

download info

Download link: https://slims.bioinformatics.ucdavis.edu/solexa/view_run.php?id=3587

Julin Downloaded fastq files to Barbera /share/malooflab/Fastqs/Brapa_microbe/timecourse-2018/

Download command was:

wget -r -nd http://slimsdata.genomecenter.ucdavis.edu/Data/mx7wuv39pp/Unaligned2/Project_JMMC_WYO004/

concatenate reads

On the second download reads had not yet been concatenated across multiple lanes. Concatenate with

for f in $(ls *gz | sed s/_L.*// | uniq)
do
    echo $f
    cat $f* > concatenated/${f}_R1_001.fastq.gz
done

Then delete non-concatenated files and move the concatenated files up a directory level.

sample info

See file tube_no_legend_time_course_2018.xlsx

Marc writes:

Here’s an excel file of tube_nos and the associated treatments, time points etc. The only slightly confusing thing is that occasionally a pot assigned to a treatment didn’t have sufficient seedlings etc. and we had to substitute in a backup pot—hence the possible decoupling of pot number and tube number. All that detail being said—the microbial treatments didn’t change—so this shouldn’t change your analysis IMO.

JM Object name change on 2/19/20

twoafternoon.any.trtlive.samplingday.lrt.DEGs.all _IS NOW twoafternoon.interaction.trtlive.samplingday.lrt.DEGs.all

dge.diurnal34.anytime.DEGs.all IS NOW dge.diurnal34.interaction.trtlive.time.DEGs.all #interaction

dge.diurnal34.trt.DEGs.all IS NOW dge.diurnal34.trtlive.DEGs.all #treatment

dge.diurnal34.trt.DEGs.all IS NOW dge.diurnal34.any.trtlive.DEGs.all  # treatment and treatment:time interaction

dge.diurnal1314.anytime.DEGs.all IS NOW dge.diurnal1314.interaction.trtlive.time.DEGs

dge.diurnal1314.trt.DEGs.all IS NOW dge.diurnal1314.trtlive.DEGs.all

dge.diurnal1314.trt.DEGs.all IS NOW dge.diurnal1314.any.trtlive.DEGs.all

importing ASVs (email from Scott Klasek)

library("phyloseq")
phyloseq_object <- readRDS(file="path/to/rhizo.ps")
otu_table(phyloseq_object) # the read count data
tax_table(phyloseq_object) # taxonomy data
sample_data(phyloseq_object) # sample information