bibentry(bibtype="Article",
         title = "Differential abundance analysis for microbial marker-gene surveys",
         author = personList( as.person("Joseph N. Paulson"), 
                              as.person("Oscar Colin Stine"),
                              as.person("Hector Corrada Bravo"),
                              as.person("Mihai Pop")),
         year = 2013,
         journal = "Nat Meth",
         volume = "advance online publication",
         pages = "",
         doi = "10.1038/nmeth.2658",
         url = "http://www.nature.com/nmeth/journal/vaop/ncurrent/abs/nmeth.2658.html",
         header = "To cite the original statistical method and normalization method implemented in metagenomeSeq use")
         
bibentry(bibtype="Manual",
         title = "metagenomeSeq: Statistical analysis for sparse high-throughput sequncing.",
         author = personList( as.person("Joseph N. Paulson"),
                              as.person("Nathan D. Olson"),
                              as.person("Domenick J. Braccia"),
                              as.person("Justin Wagner"),
                              as.person("Hisham Talukder"),
                              as.person("Mihai Pop"),
                              as.person("Hector Corrada Bravo")),
         year = 2013,
         note = "Bioconductor package",
         url = "http://www.cbcb.umd.edu/software/metagenomeSeq",
         header = "To cite the metagenomeSeq software/vignette guide use"
         )
         
bibentry(bibtype="Article",
         title = "Longitudinal differential abundance analysis of marker-gene surveys using smoothing splines",
         author = personList( as.person("Joseph N. Paulson*"),
                              as.person("Hisham Talukder*"), 
                              as.person("Hector Corrada Bravo")),
         year = "2017",
         journal = "biorxiv",
         doi = "10.1101/099457",
         url = "https://www.biorxiv.org/content/10.1101/099457v1",
         header = "To cite time series analysis/function fitTimeSeries use")

