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How to get The evolutionary conservation scores for lncRNAs by the phastCons100way.UCSC.hg38 (3.7.1) R package
txdbmaker
GenomicScores
phastCons100way.UCSC.hg38
GenomicFeatures
10 months ago
rania.alanany
• 0
2
votes
5
replies
1.8k
views
MafH5.gnomAD.v3.1.2.GRCh38 omitted indels
GenomicScores
updated 3.0 years ago by
Robert Castelo
★ 3.4k • written 3.2 years ago by
Robert
• 0
3
votes
15
replies
3.5k
views
subpopulations available in MafH5.gnomAD.v3.1.1.GRCh38
GenomicScores
MafH5.gnomAD.v3.1.1.GRCh38
updated 3.3 years ago by
Robert Castelo
★ 3.4k • written 3.5 years ago by
Robert
• 0
0
votes
6
replies
2.1k
views
GenomicScores package: availableGScores and getGScores functions not working
GenomicScores
updated 4.0 years ago by
Robert Castelo
★ 3.4k • written 4.0 years ago by
nattzy94
▴ 20
7
votes
16
replies
4.9k
views
How to extract phastcons score for all protein coding genes and lncRNAs using GenomicScores?
genomicscores
granges
phastCons100way.UCSC.hg38
r
rtracklayer
updated 10 months ago by
rania.alanany
• 0 • written 5.5 years ago by
Biologist
▴ 120
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Comment: Sharing a collection of datasets in ExperimentHub
by
Aaron Lun
★ 29k
FYI the **scRNAseq** packages uses a non-ExperimentHub storage platform, see [here](https://github.com/ArtifactDB/gypsum-worker) for more d…
Comment: Error Loading Experiment from SimBenchData Package
by
ATpoint
★ 4.9k
Is the Seurat package installed? The error somewhat suggests that it could be related, and at https://www.bioconductor.org/packages/release…
Answer: Help with defining groups
by
Gordon Smyth
53k
Defining sample groups is separate to reading in the DIA-NN data, because the sample conditions and covariates are not necessarily coded in…
Comment: Sharing a collection of datasets in ExperimentHub
by
Peter Hickey
▴ 760
The [**scRNAseq**](https://bioconductor.org/packages/scRNAseq/) package ([source on GitHub](https://github.com/LTLA/scRNAseq)) might serve …
Comment: Using DESeq2 on single cell RNA Seq data of same cell type but different conditi
by
ReinholdGaylord99
• 0
Thank you so much! https://www.nature.com/articles/s41467-021-25960-2/ [geometry dash lite](https://geometrydashlite.online)
Votes
Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce
Answer: ordinary t from limma [was: How would I normally compare swirl?]
Comment: readDNAStringSet with non DNA characters
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
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