RIVET: comprehensive graphic user interface for analysis and exploration of genome-wide translatomics data.

ABSTRACT:

Background

Translatomics data, particularly genome-wide ribosome profiling and polysome profiling, provide multiple levels of gene regulatory information that can be used to assess general transcription and translation, as well translational efficiency. The increasing popularity of these techniques has resulted in multiple algorithms to detect translational regulation, typically distributed in the form of command line tools that require a basic level of programming ability. Additionally, due to the static nature of current software, dynamic transcriptional and translational comparative analysis cannot be adequately achieved. In order to streamline hypothesis generation, investigators must have the ability to manipulate and interact with their data in real-time.

Results

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SUBMITTER: Ernlund AW 

PROVIDER: S-EPMC6225633 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature