TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data
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 specifi...
Saved in:
Main Authors: | Jae Hyun Lim, Soo Youn Lee, Ju Han Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central
2017-03-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | http://genominfo.org/upload/pdf/gni-15-51.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RNA-Seq Assembly and Differential Transcriptome Analysis of Korean Medicinal Herb var.
by: Neha Samir Roy, et al.
Published: (2018-12-01) -
Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications
by: Farhana Manzoor, et al.
Published: (2025-01-01) -
Protocol for profiling RNA m5C methylation at base resolution using m5C-TAC-seq
by: Xiaoting Zhang, et al.
Published: (2025-03-01) -
Genomic Profiling of Liver Cancer
by: Ju-Seog Lee
Published: (2013-12-01) -
A ChIP-Seq Data Analysis Pipeline Based on Bioconductor Packages
by: Seung-Jin Park, et al.
Published: (2017-03-01)