BibTeX records: Jeremy M. Brown

• > Home > Persons > Jeremy M. Brown

@inproceedings{DBLP:conf/xsede/WagnerTDGBW21,
  author       = {Reid Wagner and
                  Benjamin S. Toups and
                  Zhifeng Deng and
                  Kyle A. Gallivan and
                  Jeremy M. Brown and
                  James C. Wilgenbusch},
  editor       = {Joseph Paris and
                  Jackie Milhans and
                  Betsy Hillery and
                  Sharon Broude Geva and
                  Patrick Schmitz and
                  Robert S. Sinkovits},
  title        = {Investigating the Genomic Distribution of Phylogenetic Signal with
                  CloudForest},
  booktitle    = {{PEARC} '21: Practice and Experience in Advanced Research Computing,
                  Boston, MA, USA, July 18-22, 2021},
  pages        = {34:1--34:4},
  publisher    = {{ACM}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3437359.3465605},
  doi          = {10.1145/3437359.3465605},
  timestamp    = {Mon, 05 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/xsede/WagnerTDGBW21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/bmcbi/AndersenNB16,
  author       = {John J. Andersen and
                  Bradley J. Nelson and
                  Jeremy M. Brown},
  title        = {EmpPrior: using outside empirical data to inform branch-length priors
                  for Bayesian phylogenetics},
  journal      = {{BMC} Bioinform.},
  volume       = {17},
  pages        = {253},
  year         = {2016},
  url          = {https://doi.org/10.1186/s12859-016-1132-4},
  doi          = {10.1186/S12859-016-1132-4},
  timestamp    = {Sun, 15 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/bmcbi/AndersenNB16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/bioinformatics/BrownE09,
  author       = {Jeremy M. Brown and
                  Robert ElDabaje},
  title        = {PuMA: Bayesian analysis of partitioned (and unpartitioned) model adequacy},
  journal      = {Bioinform.},
  volume       = {25},
  number       = {4},
  pages        = {537--538},
  year         = {2009},
  url          = {https://doi.org/10.1093/bioinformatics/btn651},
  doi          = {10.1093/BIOINFORMATICS/BTN651},
  timestamp    = {Mon, 02 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/bioinformatics/BrownE09.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}