Published in BMC Bioinformatics on July 02, 2010
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Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks. BMC Bioinformatics (2008) 4.41
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Efficient yeast ChIP-Seq using multiplex short-read DNA sequencing. BMC Genomics (2009) 3.22
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Transcript mapping with high-density oligonucleotide tiling arrays. Bioinformatics (2006) 2.94
An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data. Bioinformatics (2008) 2.85
A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments. BMC Genomics (2009) 2.70
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Genomic location analysis by ChIP-Seq. J Cell Biochem (2009) 2.44
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Parameter estimation for robust HMM analysis of ChIP-chip data. BMC Bioinformatics (2008) 1.48
A hidden Markov model approach for determining expression from genomic tiling micro arrays. BMC Bioinformatics (2006) 1.40
Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data. Bioinformatics (2009) 1.23
Integrating quantitative information from ChIP-chip experiments into motif finding. Biostatistics (2007) 1.15
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The mutational landscape of lethal castration-resistant prostate cancer. Nature (2012) 11.82
Transcriptome sequencing to detect gene fusions in cancer. Nature (2009) 11.63
Distinct classes of chromosomal rearrangements create oncogenic ETS gene fusions in prostate cancer. Nature (2007) 10.94
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Whole-genome analysis informs breast cancer response to aromatase inhibition. Nature (2012) 8.03
TMPRSS2:ERG fusion-associated deletions provide insight into the heterogeneity of prostate cancer. Cancer Res (2006) 7.61
Genomic loss of microRNA-101 leads to overexpression of histone methyltransferase EZH2 in cancer. Science (2008) 7.59
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Androgen receptor regulates a distinct transcription program in androgen-independent prostate cancer. Cell (2009) 7.09
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The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line. Nat Genet (2009) 6.02
A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth. Mol Cell (2007) 5.99
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TMPRSS2:ETV4 gene fusions define a third molecular subtype of prostate cancer. Cancer Res (2006) 4.99
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