Imports: pbapply, utils, stats, seewave, tuneR, fftw
Suggests: ggplot2, knitr, kableExtra, viridis, png, testthat

Suggests: rmarkdown, ggplot2, knitr, kableExtra, viridis, png, testthat

Imports: pbapply, utils, stats, seewave, tuneR, fftw, methods

Title: Bayesian Bacterial Growth Curve Analysis in R
Author: Lydia Rickett, Matthew Hartley, Richard Morris and Nick Pullen
Description: Babar is designed to use nested sampling (a Bayesian analysis technique) to compare possible models for bacterial growth curves, as well as extracting parameters. It allows model evidence and parameter likelihood values to be extracted, and also contains helper functions for comparing distributions as well as direct access to the underlying nested sampling code.

Author: Adam B. Olshen, Richard A. Olshen, Barry S. Taylor
Maintainer: Adam B. Olshen <olshena@biostat.ucsf.edu>
Description: Implements babel routines for identifying unusual ribosome protected fragment counts given mRNA counts

Maintainer: Adam B. Olshen <adam.olshen@ucsf.edu>

Description: Included here are babel routines for identifying unusual ribosome protected fragment counts given mRNA counts.

Title: Gene Orthologs for Model Organisms in a Tidy Data Format
Authors@R: person("Igor", "Dolgalev", email = "igor.dolgalev@nyumc.org", role = c("aut", "cre"))
Description: Genomic analysis of model organisms often requires the use of databases based on human data or making comparisons to patient-derived resources. This requires converting genes between human and non-human analogues. The babelgene R package provides predicted gene orthologs/homologs for frequently studied model organisms in an R-friendly tidy/long format. The package integrates orthology assertion predictions sourced from multiple databases as compiled by the HGNC Comparison of Orthology Predictions (HCOP) (Wright et al. 2005 <doi:10.1007/s00335-005-0103-2>, Eyre et al. 2007 <doi:10.1093/bib/bbl030>, Seal et al. 2011 <doi:10.1093/nar/gkq892>).

person("Igor", "Dolgalev", , "igor.dolgalev@nyumc.org", role = c("aut", "cre"),
Description: Genomic analysis of model organisms frequently requires the
use of databases based on human data or making comparisons to
patient-derived resources. This requires harmonization of gene names
into the same gene space. The 'babelgene' R package converts between
human and non-human gene orthologs/homologs. The package integrates
orthology assertion predictions sourced from multiple databases as
compiled by the HGNC Comparison of Orthology Predictions (HCOP)
Author: Igor Dolgalev [aut, cre] (<https://orcid.org/0000-0003-4451-126X>)