Transcriptomic analysis of gene signatures associated with sickle pain.

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Transcriptomic analysis of gene signatures associated with sickle pain.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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Transcriptomic analysis of gene signatures associated with sickle pain.

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Transcriptomic analysis of gene signatures associated with sickle pain.

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Transcriptomic analysis of gene signatures associated with sickle pain.

@en

Transcriptomic analysis of gene signatures associated with sickle pain.

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Transcriptomic analysis of gene signatures associated with sickle pain.

@en

Transcriptomic analysis of gene signatures associated with sickle pain.

@nl

P1476

Transcriptomic analysis of gene signatures associated with sickle pain

@en

P2093

Aditya Mittal

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Anindya Bagchi

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Anupam Aich

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David A Largaespada

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Fei Peng

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Jinny A Paul

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Kalpna Gupta

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Krystina Kalland

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Rebecca S LaRue

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Ritu Jha

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P2860

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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Differential analysis of gene regulation at transcript resolution with RNA-seq

STAR: ultrafast universal RNA-seq aligner

Systematic evaluation of spliced alignment programs for RNA-seq data

A specific chemical difference between the globins of normal human and sickle-cell anaemia haemoglobin.

P2888

sdata.2017.51

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170051

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P31

scholarly article

P356

10.1038/SDATA.2017.51

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P478

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P50

Juan E Abrahante

P577

2017-05-16T00:00:00Z

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P698

29292796

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P921

transcriptome

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5749120

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