DEBrowser: interactive differential expression analysis and visualization tool for count data
Abstract Background Sequencing data has become a standard measure of diverse cellular activities. For example, gene expression is accurately measured by RNA sequencing (RNA-Seq) libraries, protein-DNA interactions are captured by chromatin immunoprecipitation sequencing (ChIP-Seq), protein-RNA inter...
Main Authors: | Alper Kucukural, Onur Yukselen, Deniz M. Ozata, Melissa J. Moore, Manuel Garber |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-01-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12864-018-5362-x |
Similar Items
-
Interactive Analysis, Exploration, and Visualization of RNA-Seq Data with SeqCVIBE
by: Efthimios Bothos, et al.
Published: (2022-03-01) -
Curare and GenExVis: a versatile toolkit for analyzing and visualizing RNA-Seq data
by: Patrick Blumenkamp, et al.
Published: (2024-03-01) -
Visualization in Big Data: A tool for pattern recognition in data stream
by: SOARES, V. H. A., et al.
Published: (2015-06-01) -
TOmicsVis: An all‐in‐one transcriptomic analysis and visualization R package with Shinyapp interface
by: Ben‐Ben Miao, et al.
Published: (2023-11-01) -
How to normalize metatranscriptomic count data for differential expression analysis
by: Heiner Klingenberg, et al.
Published: (2017-10-01)