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Answer: High Malat-1 expression in single cell data
Answer: High Malat-1 expression in single cell data
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A: Bam And Indexed Bam Files
High Malat-1 expression in single cell data
Segmentation fault using gemma
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Recent Replies
Comment: High Malat-1 expression in single cell data
by
Kazo
▴ 10
When I perform differential analysis, the genes that could be considered as markers in this malat1 high cluster tend to be nuclear genes. D…
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You can check where the application was installed using: https://unix.stackexchange.com/questions/39590/apt-get-install-where-does-it-go T…
Comment: What does it mean single base resolution in sequencing?
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dsull
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"using RNA-seq for allele imbalanced gene expression" -> Not sure what you mean by that; thousands of studies (including some ongoing studi…
Comment: High Malat-1 expression in single cell data
by
Kazo
▴ 10
I have noticed in articles that people define low-quality clusters and remove them from the data, but they don't exactly explain what makes…
Answer: High Malat-1 expression in single cell data
by
dsull
★ 5.9k
I'm assuming you read https://kb.10xgenomics.com/hc/en-us/articles/360004729092-Why-do-I-see-high-levels-of-Malat1-in-my-gene-expression-da…
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Gordon Smyth
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I actually advised you not to remove duplicate probes, especially as you seem to be use probe annotation that is very old and possibly out …
Comment: Segmentation fault using gemma
by
dimpleadiwal050896
• 0
Hello, were you able to rectify this. If yes, do tell. I am getting a similar error. Thank you
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You can simply `cat` all reference sequences together. Create an index file with `bowtie2` and then align as usual.
Answer: High Malat-1 expression in single cell data
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ATpoint
82k
My comment is general since I've never looked at this gene specifically, but metrics of poor cell quality in my experience never come alone…
Comment: What does it mean single base resolution in sequencing?
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>You known, 90% + genomic region is transcripted. So, total RNA-seq theoretically covers most genome region. Perhaps but not all of that …
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i.sudbery
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Thats very intersting! What are the features in your classifier?
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