Bioconductor Txdb.mmusculus.ucsc.mm10.knowngene

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TxDb.Mmusculus.UCSC.mm10.knownGene

updated 3.3 years ago by James W. MacDonald 67k • written 3.3 years ago by msr3nf ▴ 10

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ChIPseeker TxDb.Mmusculus.UCSC.mm10.knownGene

3.7 years ago Kasit • 0

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TxDb.Mmusculus.UCSC.mm10.knownGene

updated 3.8 years ago by James W. MacDonald 67k • written 3.8 years ago by smgb • 0

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AnnotationDbi annotation TxDb.Mmusculus.UCSC.mm10.knownGene

updated 4.4 years ago by James W. MacDonald 67k • written 4.4 years ago by 94133 • 0

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chipseeker txdb.mmusculus.ucsc.mm10.knowngene

6.9 years ago doan.dinh • 0

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tximport kallisto txdb.mmusculus.ucsc.mm10.knowngene

updated 7.4 years ago by James W. MacDonald 67k • written 7.4 years ago by Kaustav • 0

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txdb txdb.mmusculus.ucsc.mm10.knowngene

updated 8.0 years ago by James W. MacDonald 67k • written 8.0 years ago by Mark ▴ 10

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Comment: How to extract phastcons score for all protein coding genes and lncRNAs using Ge by rania.alanany • 0

thank you for your advice, I posted separate post.

Comment: How to extract phastcons score for all protein coding genes and lncRNAs using Ge by Robert Castelo ★ 3.4k

Hi, this is a long comment thread on 4-year old post, please open a new post with you question. To increase the odds of getting useful answ…

Answer: DESeq2 rerun returns different results by ATpoint ★ 4.5k

DESeq2 is deterministic if you use same input, code and software versions. Make sure to version-control your environment by at least tracki…

Answer: [How to construct a model.matrix ] by Gordon Smyth 51k

> Initially, I simply used > `lm(Epigenetic_age ~ Age_group + Age + Sex + PC1 + PC2 + PC3 + PC4 + PC5 + B + CD4T + CD8T + Mono + NK + Neutr…

Comment: How to extract phastcons score for all protein coding genes and lncRNAs using Ge by rania.alanany • 0

Hi Robert, Thank you for the explanation, But I am still little bit confused, Is the annotation package (TxDb.Hsapiens.UCSC.hg38.knownGene)…

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C: DESeq2 baseMean values for each sample

Comment: ColData and ERROR: rows did not converge in beta, labelled in mcols(object)$beta

A: Some questions for remove batch effect by using mnnCorrect

A: Recommendations for combining multiple 10x runs into one SingleCellExperiment

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