Nature MethodsGenomicsPeer-reviewed journal article
WASP: allele-specific software for robust discovery of molecular quantitative trait loci
Bryce van de Geijn, Graham McVicker, Yoav GiladiD, Jonathan Pritchard
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.
- assay: ChIP-seq
- assay: bulk RNA-seq
- research focus: variant effect prediction
- research focus: GWAS / association mapping
- approach: deep learning
- approach: statistical model
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