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WASP: allele-specific software for robust discovery of molecular quantitative trait loci

Bryce van de Geijn, Graham McVicker, Yoav Gilad, Jonathan K. Pritchard
doi: https://doi.org/10.1101/011221
Bryce van de Geijn
1Department of Human Genetics, University of Chicago
2Committee on Genetics, Genomics and Systems Biology, University of Chicago
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Graham McVicker
3Department of Genetics, Stanford University
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Yoav Gilad
1Department of Human Genetics, University of Chicago
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Jonathan K. Pritchard
3Department of Genetics, Stanford University
4Department of Biology, Stanford University
5Howard Hughes Medical Institute, Stanford University
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  • For correspondence: pritch@stanford.edu
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Abstract

Allele-specific sequencing reads provide a powerful signal for identifying molecular quantitative trait loci (QTLs), however they are challenging to analyze and prone to technical artefacts. Here we describe WASP, a suite of tools for unbiased allele-specific read mapping and discovery of molecular QTLs. Using simulated reads, RNA-seq reads and ChIP-seq reads, we demonstrate that our approach has a low error rate and is far more powerful than existing QTL mapping approaches.

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Posted November 07, 2014.
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WASP: allele-specific software for robust discovery of molecular quantitative trait loci
Bryce van de Geijn, Graham McVicker, Yoav Gilad, Jonathan K. Pritchard
bioRxiv 011221; doi: https://doi.org/10.1101/011221
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WASP: allele-specific software for robust discovery of molecular quantitative trait loci
Bryce van de Geijn, Graham McVicker, Yoav Gilad, Jonathan K. Pritchard
bioRxiv 011221; doi: https://doi.org/10.1101/011221

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