Quantifying Habitat-Induced Acoustic Signal Degradation
Intended to facilitate acoustic analysis of (animal) sound transmission experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
ggplot2, knitr, kableExtra, viridis, png

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

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

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

Bayesian Bacterial Growth Curve Analysis in R
Lydia Rickett, Matthew Hartley, Richard Morris and Nick Pullen
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.

Adam B. Olshen, Richard A. Olshen, Barry S. Taylor
Implements babel routines for identifying unusual ribosome protected fragment counts given mRNA counts

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

Gene Orthologs for Model Organisms in a Tidy Data Format
person("Igor", "Dolgalev", email = "igor.dolgalev@nyumc.org", role = c("aut", "cre"))
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>).