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MOIRAI: a compact workflow system for CAGE analysis.

Akira Hasegawa, Carsten Daub, Piero Carninci

¹RIKEN Center for Life Science Technologies (CLST), Riken Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, 230-0045 Kanagawa, Japan. lassmann@gsc.riken.jp.

BMC Bioinformatics

|June 3, 2014

Summary

This summary is machine-generated.

MOIRAI is a new workflow system for processing Cap analysis of gene expression (CAGE) data. It offers a graphical interface and quality control features for mapping, annotating, and analyzing CAGE data from multiple samples.

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Cap analysis of gene expression (CAGE) is a sequencing technology to identify RNA 5' ends and active transcriptional start sites (TSS).
CAGE data analysis requires specialized software for processing, which is currently lacking.
Prominent genomics projects like FANTOM and ENCODE utilize CAGE technology.

Purpose of the Study:

To introduce MOIRAI, a novel software package for comprehensive CAGE data processing and analysis.
To provide a user-friendly graphical interface for researchers to create, modify, and execute CAGE analysis workflows.
To integrate quality control features for assessing and troubleshooting CAGE data.

Main Methods:

Development of MOIRAI, a compact and flexible workflow system.
Implementation of a graphical user interface (GUI) for workflow management.
Inclusion of graphical quality control indicators within the workflows.
Design of three core workflows: mapping, annotation, and multi-sample expression analysis.

Main Results:

MOIRAI enables efficient processing and analysis of CAGE data.
The graphical interface simplifies workflow creation and execution for researchers.
Quality control indicators facilitate rapid assessment of data integrity.
The system supports mapping, annotation, and expression analysis across multiple samples.

Conclusions:

MOIRAI provides essential tools for CAGE data analysis.
Its built-in quality control features make it ideal for developing new sequencing protocols.
The software is freely available, promoting accessibility in genomics research.