myTAI: evolutionary transcriptomics with R

Abstract Motivation Next Generation Sequencing (NGS) technologies generate a large amount of high quality transcriptome datasets enabling the investigation of molecular processes on a genomic and metagenomic scale. These transcriptomics studies aim to quantify and compare the molecular phenotypes of the biological processes at hand. Despite the vast increase of available transcriptome datasets, little is known about the evolutionary conservation of those characterized transcriptomes. Results The myTAI package implements exploratory analysis functions to infer transcriptome conservation patterns in any transcriptome dataset. Comprehensive documentation of myTAI functions and tutorial vignettes provide step-by-step instructions on how to use the package in an exploratory and computationally reproducible manner. Availability and implementation The open source myTAI package is available at https://github.com/HajkD/myTAI and https://cran.r-project.org/web/packages/myTAI/index.html. Supplementary information Supplementary data are available at Bioinformatics online.

[1]  I. Grosse,et al.  A transcriptomic hourglass in plant embryogenesis , 2012, Nature.

[2]  Zhijin Wu,et al.  Phylogenetic analysis of gene expression. , 2013, Integrative and comparative biology.

[3]  I. Grosse,et al.  Cross-kingdom comparison of the developmental hourglass. , 2017, Current opinion in genetics & development.

[4]  Eduard Szöcs,et al.  taxize: taxonomic search and retrieval in R , 2013, F1000Research.

[5]  Eduard Szöcs,et al.  taxize: taxonomic search and retrieval in R , 2013, F1000Research.

[6]  M. Delignette-Muller,et al.  fitdistrplus: An R Package for Fitting Distributions , 2015 .

[7]  D. Tautz,et al.  A phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns , 2010, Nature.

[8]  Hajk-Georg Drost,et al.  Biomartr: genomic data retrieval with R , 2017, Bioinform..

[9]  R. Raff Understanding Evolution: The Next Step. (Book Reviews: The Shape of Life. Genes, Development, and the Evolution of Animal Form.) , 1996 .

[10]  Dirk Eddelbuettel,et al.  Seamless R and C++ Integration with Rcpp , 2013 .

[11]  Vincent Berry,et al.  Models, algorithms and programs for phylogeny reconciliation , 2011, Briefings Bioinform..

[12]  E. Osborne,et al.  Plant organ evolution revealed by phylotranscriptomics in Arabidopsis thaliana , 2017, Scientific Reports.

[13]  Tomislav Domazet-Loso,et al.  A phylostratigraphy approach to uncover the genomic history of major adaptations in metazoan lineages. , 2007, Trends in genetics : TIG.