Title: A Framework to Perform Phylotranscriptomics Analyses for
Description: A statistical framework to combine evolutionary information with transcriptome data to detect evolutionary signals and conserved stages in biological processes

Title: Performing Phylotranscriptomics with R
Description: A statistical framework allowing users interested in the evolution of biological (developmental) processes to capture evolutionary signals in developmental transcriptomes.

Description: A statistical framework allowing users interested in the evolution of biological processes to capture evolutionary signals in transcriptomes.

edgeR, methods (>= 3.1.1), graphics (>= 3.1.1), stats (>=

Title: Perform Evolutionary Transcriptomics Studies
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes. The aim of this tool is to provide a transcriptome analysis environment for answering questions regarding the evolution of biological processes.

ggplot2 (>= 1.0.1), readr (>= 0.2.2), tibble, scales, edgeR,

Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2017) <doi:10.1093/bioinformatics/btx835>). The aim of this tool is to provide a transcriptome analysis environment for answering questions regarding the evolution of biological processes (Drost et al. (2016) <doi:10.1101/051565>).
Imports: biomartr, Rcpp (>= 0.12.0), nortest (>= 1.0-2), fitdistrplus
Packaged: 2018-04-11 15:09:02 UTC; hajk-georg.drost

Packaged: 2018-05-23 15:09:09 UTC; hajk-georg.drost

Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>>>)

Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2017) <doi:10.1093/bioinformatics/btx835>). The aim of this tool is to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest (Drost et al. (2016) <doi:10.1101/051565>).
ggplot2 (>= 1.0.1), readr (>= 0.2.2), tibble, scales,