Provides a Kernel Density Estimator-based package for analysis of massively parallel sequencing data from chromatin immunoprecipitations. QuEST offers the possibility to search de novo motif on ChIP-seq experiment and to perform gene ontology (GO) analysis on the ChIP-Seq data obtained from the NCBI Short Read Archive (SRA). This software is based on a realistic statistical modeling of the ChIP-Seq.
Department of Pathology, Stanford University Medical Center, Stanford, CA, USA; Department of Genetics, Stanford University Medical Center, Stanford, CA, USA; Department of Computer Science, Stanford University, Stanford, CA, USA
QuEST funding source(s)
Supported by NIH Grants 5 U01 HG003162 and 1 U54-HG004576, and by funds from the Stanford Pathology/Genetics Ultra-High Throughput Sequencing Initiative.