Title: Integrative Inference of De Novo Cis-Regulatory Modules
Authors@R: c(person("Xi", "Chen", email = "xichen86@vt.edu", role = c("aut", "cre")),
person("Jianhua", "Xuan", email = "xuan@vt.edu", role = "aut"))
Description: Prior transcription factor binding knowledge and target gene expression data are integrated in a Bayesian framework for functional cis-regulatory module inference. Using Gibbs sampling, we iteratively estimate transcription factor associations for each gene, regulation strength for each binding event and the hidden activity for each transcription factor.

Title: Tools for Accessing the Botanical Ecology and Information
Authors@R: person("Brian", "Maitner", email = "bmaitner@gmail.com", role = c("aut", "cre"))
Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database.  The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <http://Bien.nceas.ucsb.edu/Bien/> for more Information).  This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Imports: maptools, rgeos, rgdal, sp, DBI, ape, methods

Title: Tools for Accessing the Botanical Information and Ecology
Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database.  The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <http://Bien.nceas.ucsb.edu/bien/> for more Information).  This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Imports: rgeos, rgdal, sp, DBI, ape, methods
Suggests: knitr, rmarkdown, testthat, maptools

Suggests: knitr, rmarkdown, testthat, maptools, maps

Imports: rgeos, rgdal, sp, DBI, ape, methods, sf, fasterize, raster,

Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database.  The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <https://bien.nceas.ucsb.edu/bien/> for more Information).  This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Packaged: 2022-02-23 17:59:06 UTC; Brian Maitner