Bioconductor TxDB.Hsapiens.UCSC.hg38.knownGene

Showing : TxDB.Hsapiens.UCSC.hg38.knownGene • reset

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MetID TxDB.Hsapiens.UCSC.hg38.knownGene locateVariants GenomicFeatures VariantAnnotation

13 months ago davidhillis • 0

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655

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microRNA TxDb.Hsapiens.UCSC.hg38.knownGene

15 months ago Lluís Revilla Sancho ▴ 730

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3.8k

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install TxDb.Hsapiens.UCSC.hg38.knownGene

2.1 years ago Theresa ▴ 20

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TxDb.Hsapiens.UCSC.hg38.knownGene

updated 2.4 years ago by Hervé Pagès 16k • written 2.4 years ago by BioEpi • 0

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TxDb.Hsapiens.UCSC.hg38.knownGene

updated 3.2 years ago by James W. MacDonald 65k • written 3.2 years ago by lukijanczukpawel • 0

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981

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annotation genome hg38 TxDb.Hsapiens.UCSC.hg38.knownGene BSgenome.Hsapiens.UCSC.hg38

updated 4.2 years ago by kayla.interdonato ▴ 160 • written 4.2 years ago by jam526 • 0

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TxDb annotation TxDb.Hsapiens.UCSC.hg38.knownGene

updated 4.3 years ago by shepherl 3.8k • written 4.3 years ago by bernatgel ▴ 150

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811

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HLA TxDb.Hsapiens.UCSC.hg38.knownGene

updated 4.3 years ago by kayla.interdonato ▴ 160 • written 4.3 years ago by Kamil Slowikowski ▴ 30

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2.7k

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TxDb.Hsapiens.UCSC.hg38.knownGene TxDb.Mmusculus.UCSC.mm10.ensGene

updated 4.5 years ago by James W. MacDonald 65k • written 4.5 years ago by Aditya ▴ 160

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TxDb.Hsapiens.UCSC.hg38.knownGene subset TxDb object

5.0 years ago Ruichao.Zeng ▴ 10

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txdb.hsapiens.ucsc.hg38.knowngene org.hs.eg.db

updated 6.4 years ago by Simon Anders ★ 3.7k • written 6.4 years ago by Mark Dunning ★ 1.1k

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s4vectors bumphunter txdb.hsapiens.ucsc.hg38.knowngene

6.6 years ago Leonardo Collado Torres ★ 1.0k

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annotation txdb.hsapiens.ucsc.hg38.knowngene bug

7.5 years ago shilin.zhao ▴ 40

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txdb txdb.hsapiens.ucsc.hg19.knowngene txdb.hsapiens.ucsc.hg38.knowngene org.hs.eg.db annotation

8.0 years ago enricoferrero ▴ 660

14 results • Page 1 of 1

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Comment: How to retrieve gene ontology GO class from gene list? by bandconductor • 0

Thanks, this is potentially a much faster way than parsing BiomRt. However, it is only returning one GO term right now (biomaRt returns a f…

Comment: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2 by James W. MacDonald 65k

Both `RUVseq` and `sva` are meant to be used to remove technical variability. The problem is the identification of variability that is tech…

Comment: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2 by Alexandre • 0

Hello James, Thank you very much for your answer and taking the time to read my post. I understand your remark, but isn't the approach o…

Comment: PCA plot suggestions by JKim • 0

cross post: https://www.biostars.org/p/9593486/

Answer: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2 by James W. MacDonald 65k

You cannot correct for technical variability due to batch if samples are nested in batch. The technical and biological differences are comp…

Votes

Answer: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2

Answer: Use of negative binomial model for exponential decay rate estimation using DESeq

C: null model and DEXSeqDataSet object in DEXSEQ

A: Are published RNA seq data analyses often wrong in calculating p-values and FDR?

A: How to explain how DESeq2 works to someone with zero bioinformatics background?

Awards • All

Scholar to James W. MacDonald 65k

Supporter to JKim • 0