@article{spyrou2009bayespeak,
  title={{BayesPeak: Bayesian analysis of ChIP-seq data}},
  author={{C. Spyrou et al.}},
  journal={BMC Bioinformatics},
  volume={10},
  pages={299},
  year={2009},
  publisher={BioMed Central Ltd}
}

@article{schmidt2009chip,
  title={{ChIP-seq: Using high-throughput sequencing to discover protein-DNA interactions}},
  author={{D. Schmidt, M.D. Wilson, C. Spyrou, G.D. Brown, J. Hadfield, and D.T. Odom.}},
  journal={Methods},
  volume={48},
  pages={240--248},
  year={2009},
  publisher={Elsevier}
}

@article{Geweke1992,
author = {{J. Geweke}},
journal = {Bayesian Statistics},
title = {{Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments}},
volume = {4pp169},
year = {1992}
}

@article{Robertson2007,
abstract = {We developed a method, ChIP-sequencing (ChIP-seq), combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing to identify mammalian DNA sequences bound by transcription factors in vivo. We used ChIP-seq to map STAT1 targets in interferon-gamma (IFN-gamma)-stimulated and unstimulated human HeLa S3 cells, and compared the method's performance to ChIP-PCR and to ChIP-chip for four chromosomes. By ChIP-seq, using 15.1 and 12.9 million uniquely mapped sequence reads, and an estimated false discovery rate of less than 0.001, we identified 41,582 and 11,004 putative STAT1-binding regions in stimulated and unstimulated cells, respectively. Of the 34 loci known to contain STAT1 interferon-responsive binding sites, ChIP-seq found 24 (71\%). ChIP-seq targets were enriched in sequences similar to known STAT1 binding motifs. Comparisons with two ChIP-PCR data sets suggested that ChIP-seq sensitivity was between 70\% and 92\% and specificity was at least 95\%.},
author = {{Robertson, Gordon et al.}},
doi = {10.1038/nmeth1068},
issn = {1548-7091},
journal = {Nature methods},
keywords = {Chromatin Immunoprecipitation,DNA,DNA: genetics,Genome,Polymerase Chain Reaction,Protein Binding,STAT1 Transcription Factor,STAT1 Transcription Factor: genetics,STAT1 Transcription Factor: metabolism,XSET},
mendeley-tags = {XSET},
month = aug,
number = {8},
pages = {651--7},
pmid = {17558387},
publisher = {Nature Publishing Group},
shorttitle = {Nat Meth},
title = {{Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing.}},
url = {http://dx.doi.org/10.1038/nmeth1068},
volume = {4},
year = {2007}
}
