Quantifying the effect of sequence variation on regulatory interactions (Q39904001)

15 September 2017

title

Quantifying the effect of sequence variation on regulatory interactions (English)

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15 September 2017

Thomas Manke

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Matthias Heinig

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Matthias Heinig

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Martin Vingron

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object named as

Martin Vingron

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15 September 2017

language of work or name

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1 April 2010

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15 September 2017

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15 September 2017

volume

31

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15 September 2017

issue

4

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15 September 2017

page(s)

477-483

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Genetic mapping in human disease

15 September 2017

cites work

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https://api.crossref.org/works/10.1002%2FHUMU.21209

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In silico detection of sequence variations modifying transcriptional regulation

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The landscape of genetic complexity across 5,700 gene expression traits in yeast

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A regulatory SNP causes a human genetic disease by creating a new transcriptional promoter

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A biophysical approach to transcription factor binding site discovery

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Statistical modeling of transcription factor binding affinities predicts regulatory interactions

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Genetics of gene expression surveyed in maize, mouse and man

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Predicting expression patterns from regulatory sequence in Drosophila segmentation.

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Extensive low-affinity transcriptional interactions in the yeast genome

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7 January 2021

Identifiers

DOI

10.1002/HUMU.21209

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15 September 2017

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