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SRA
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Creating a DESeqDataSet from a RangedSummarizedExperiment - where is the design parameter in RangedSummarizedExperiment
SRA
DESeq2
4.6 years ago
Serge
• 0
0
votes
0
replies
1.4k
views
Problem for Splitting reverse and forward reading in my RNA-seq
RNA-seq
SRA
reverse reads
forward reads
7.6 years ago
modarzi
▴ 10
2
votes
1
reply
1.9k
views
Uniting SRA Data into a single file
R
fastq
SRA
sradb
updated 9.2 years ago by
Martin Morgan
25k • written 9.2 years ago by
grecoandreauni
• 0
0
votes
3
replies
4.8k
views
download SRR*.lite.sra files using fastq-dump command
sra
chipseqDB
fastq-dump
.lite.sra
updated 9.3 years ago by
James W. MacDonald
68k • written 9.3 years ago by
xhe764
• 0
0
votes
0
replies
1.9k
views
Search SRA based on BioSample Attributes
ncbi
sra
search
10.0 years ago
massacomgrao
• 0
6
votes
1
reply
4.6k
views
Tutorial:
Orchestrating a small, parallel, RNA-seq pre-processing workflow using R
rnaseq
biocparallel
workflows
sra
Tutorial
10.6 years ago
Sean Davis
21k
6 results • Page
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Comment: Are individual-mouse-based statistics possible in CellChat?
by
LillianaVolkman99
• 0
thank you very much. https://www.biostars.org/p/9617271/
Comment: Making a Full Rank Model for Allele-Specific Expression with DESeq2
by
Gordon Smyth
53k
My apologies, I forgot that `design.group` is not included in the final matrix, because the baseline group effects are already captured by …
Answer: Bile acid analysis with limpa
by
Gordon Smyth
53k
I am not familiar with targeted HPLC-MS and I don't know what you mean by "peak areas". If it produces standard format mass spec data from …
Comment: Making a Full Rank Model for Allele-Specific Expression with DESeq2
by
chp265
• 0
Confirming my understanding after executing the code provided: this is similar to a design formula of `~0+mouse+group+group:allele`, except…
Comment: Combining two proteomics datasets with limpa
by
Andrew Pattison
• 0
Thanks heaps Gordon. I went with option 1 and no normalisation and all seems to have worked well. Cheers, Andrew
Votes
A: DESeq2: Is it possible to convert read counts to expression values via TPM and r
A: Filtering read counts matrix: how to deal with duplicated gene symbols, differen
Comment: limpa analysis advice
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
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