TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data
Genomics & Informatics
;
: 51-53, 2017.
Artigo
em Inglês
| WPRIM
| ID: wpr-69978
ABSTRACT
High-throughput transcriptome sequencing, also known as RNA sequencing (RNA-Seq), is a standard technology for measuring gene expression with unprecedented accuracy. Numerous bioconductor packages have been developed for the statistical analysis of RNA-Seq data. However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one another due to their disparate data structures and processing methods. They also lack visualization methods to confirm the integrity of the data and the process. In this paper, we propose an R-based RNA-Seq analysis pipeline called TRAPR, an integrated tool that facilitates the statistical analysis and visualization of RNA-Seq expression data. TRAPR provides various functions for data management, the filtering of low-quality data, normalization, transformation, statistical analysis, data visualization, and result visualization that allow researchers to build customized analysis pipelines.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Linguagens de Programação
/
Dados de Sequência Molecular
/
Sequência de Bases
/
Expressão Gênica
/
Estatística como Assunto
/
Análise de Sequência de RNA
/
Perfilação da Expressão Gênica
/
Transcriptoma
Idioma:
Inglês
Revista:
Genomics & Informatics
Ano de publicação:
2017
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS