Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

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2016 nî lūn-bûn

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2016年の論文

@ja

2016年学术文章

@wuu

2016年学术文章

@zh-cn

2016年学术文章

@zh-hans

2016年学术文章

@zh-my

2016年学术文章

@zh-sg

2016年學術文章

@yue

2016年學術文章

@zh

2016年學術文章

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

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type

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

@en

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

@nl

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

@en

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

@nl

P1476

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer.

@en

P2093

Yiru Chen Zhao

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P2860

Model-based analysis of ChIP-Seq (MACS)

The RIN: an RNA integrity number for assigning integrity values to RNA measurements

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

RNA-Seq: a revolutionary tool for transcriptomics

Metscape: a Cytoscape plug-in for visualizing and interpreting metabolomic data in the context of human metabolic networks

ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

Performance of genetic programming optimised Bowtie2 on genome comparison and analytic testing (GCAT) benchmarks

ChIP-seq: advantages and challenges of a maturing technology

Novel roles for ERK5 and cofilin as critical mediators linking ERα-driven transcription, actin reorganization, and invasiveness in breast cancer.

Efficient double fragmentation ChIP-seq provides nucleotide resolution protein-DNA binding profiles.

P31

scholarly article

P356

10.3791/53832

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P433

109

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P50

Zeynep Madak-Erdogan

P577

2016-03-17T00:00:00Z

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P698

27023311

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P921

RNA-Seq

P932

4829032

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