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sra
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6
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Tutorial:
Orchestrating a small, parallel, RNA-seq pre-processing workflow using R
rnaseq
biocparallel
workflows
sra
Tutorial
8.9 years ago
Sean Davis
21k
2
votes
1
reply
1.3k
views
Uniting SRA Data into a single file
R
fastq
SRA
sradb
updated 7.5 years ago by
Martin Morgan
25k • written 7.5 years ago by
grecoandreauni
• 0
0
votes
0
replies
1.4k
views
Search SRA based on BioSample Attributes
ncbi
sra
search
8.3 years ago
massacomgrao
• 0
0
votes
3
replies
3.3k
views
download SRR*.lite.sra files using fastq-dump command
sra
chipseqDB
fastq-dump
.lite.sra
updated 7.6 years ago by
James W. MacDonald
65k • written 7.6 years ago by
xhe764
• 0
0
votes
0
replies
920
views
Problem for Splitting reverse and forward reading in my RNA-seq
RNA-seq
SRA
reverse reads
forward reads
5.9 years ago
modarzi
▴ 10
0
votes
1
reply
1.0k
views
Creating a DESeqDataSet from a RangedSummarizedExperiment - where is the design parameter in RangedSummarizedExperiment
SRA
DESeq2
2.9 years ago
Serge
• 0
6 results • Page
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Replies
Comment: Extremely small p-values using Limma for proteomic data
by
James W. MacDonald
65k
If you ever find yourself using the `@` function, you should reconsider what you are doing. There are vanishingly small instances when an e…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
42k
Here is some example code <https://gist.github.com/mikelove/cbbc84634b6854c865cb5eb08ad9b245>
Comment: How to use spike-in information (sequences from another species) with DESeq2::DE
by
maria.soler
• 0
Hi, I have a question barely related to this topic. Do you use a custom reference genome combining your organism and the one used as a spik…
Answer: Differential gene expression analysis results
by
ATpoint
★ 4.1k
Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…
Comment: deseq2 results
by
sajadahmad41454
• 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Votes
Comment: Log-cpm values from limma
Comment: Log-cpm values from limma
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
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