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Mask
•
reset
0
votes
4
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641
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Add mask to BSgenome
Mask
BSgenome.Hsapiens.UCSC.hg38.masked
10 months ago
shraddha.pai
• 0
0
votes
5
replies
3.0k
views
How to prevent readDNAStringSet() function from switching masked sequences (lowercase) to uppercase sequence?
biostrings
mask
repeatmasker
DNA
updated 4.3 years ago by
ivantsers
• 0 • written 7.5 years ago by
beausoleilmo
• 0
0
votes
3
replies
2.3k
views
The way to window over sequences of a DNAStringSet
biostrings
window
mask
views
updated 9.4 years ago by
Hervé Pagès
16k • written 9.4 years ago by
ben.ward
▴ 30
0
votes
0
replies
1.2k
views
maskedBSgenome - cannot enable masks
mask
bsgenome
9.5 years ago
kielpinski
• 0
4 results • Page
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Recent ...
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Comment: Controlling for batch and estrus cycle using DESeq2 in RNA-seq analysis
by
donnycrimson
• 0
One potential workaround might be to adjust for these factors using a combination of design matrices perhaps including batch as a covariate…
Comment: DESeq2 Design controlling for gender
by
donnycrimson
• 0
On a lighter note, while you are tackling such complex data, you might enjoy a quick break playing the [Slope Game](https://slopegame.lol)…
Comment: MetaDE.pvalue: Error in xj[i]: invalid subscript type 'list'
by
donnycrimson
• 0
Have you considered streamlining how you handle data input to mitigate these issues. It might help to define the parameters more strictly …
Comment: CluserProfiler message "No gene can be mapped"
by
Carolina
• 0
There is, the overlap that reads out is ( Genes in common: 368 of 368 ). Here is the link for [background genes][1], [term2gene][2], [term2…
Comment: Differing results with DESeq2
by
JKim
• 0
My two cents. I think it would be more straightforward if you use cellmeans model. Have a look at [A guide to creating design matrices for …
Votes
remove X and Y chromosome genes in RNA-seq data using DESeq2 pipeline
How to remove X & Y chromosome genes from RNAseq data
Is it advisable to remove X and Y chromosome genes in mouse bulk RNA-seq data at the level of the count matrix?
A: Unbalanced experiment with multiple samples from each patient.
A: Understanding contrasts limma
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