myTAI: evolutionary transcriptomics with R
نویسندگان
چکیده
منابع مشابه
Introduction to the myTAI Package
1. Scientific Introduction 2. Installation 3. Motivation 4. Retrieval of phylogenetic or taxonomic information 5. Defining input data standards 6. Performing a Standard Workflow for Evolutionary Transcriptomics Analyses 7. Statistical Assessment of Transcriptome Conservation Patterns 8. Details About Statistical Tests 9. Data Transformations and their Effects on Transcriptome Conservation Patterns
متن کاملDissecting stress with transcriptomics
In our ever-changing environment, we are frequently exposed to uncontrollable, threatening social or physical stimuli that are perceived as stress. The brain rapidly mounts a stress response, by releasing neurotransmitters, hormones and peptides-stress mediators-that orchestrate organism-wide changes in an attempt to meet the challenges of the stressful situation. Despite the adaptive value of ...
متن کاملClassifyR: an R package for performance assessment of classification with applications to transcriptomics
UNLABELLED Although a large collection of classification software packages exist in R, a new generic framework for linking custom classification functions with classification performance measures is needed. A generic classification framework has been designed and implemented as an R package in an object oriented style. Its design places emphasis on parallel processing, reproducibility and exten...
متن کاملRFreak–An R Package for Evolutionary Computation
RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R. In addition, application examples where an evolutionary approach is promising in computational statistics are included and described in this paper. The package is thus further suppo...
متن کاملEvolutionary dynamics of plant R-genes.
Plant R-genes involved in gene-for-gene interactions with pathogens are expected to undergo coevolutionary arms races in which plant specificity and pathogen virulence continually adapt in response to each other. Lending support to this idea, the solvent-exposed amino acid residues of leucine-rich repeats, a region of R-genes involved in recognizing pathogens, often evolve at unusually fast rat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2017
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btx835