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Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

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Generating Publication-Ready Prokaryotic Genome Annotations with DFAST.

Yasuhiro Tanizawa¹, Takatomo Fujisawa², Masanori Arita^2,3

¹Department of Informatics, National Institute of Genetics, Shizuoka, Japan. ytanizaw@nig.ac.jp.

Methods in Molecular Biology (Clifton, N.J.)

|April 26, 2019

Summary

This summary is machine-generated.

DDBJ Fast Annotation and Submission Tool (DFAST) provides rapid prokaryotic genome annotation and submission to public databases. This efficient pipeline quickly predicts genes and infers functions, streamlining bioinformatics workflows.

Keywords:

Annotation Archaea Bacteria Database

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Genome annotation is crucial for understanding prokaryotic biology.
Efficient tools are needed for rapid analysis and submission of genomic data.
Existing pipelines may lack speed or comprehensive annotation features.

Purpose of the Study:

To introduce the DDBJ Fast Annotation and Submission Tool (DFAST) for prokaryotic genome annotation.
To describe the DFAST annotation workflow and its capabilities.
To highlight DFAST's utility for data submission to public sequence databases.

Main Methods:

DFAST employs a default annotation workflow including gene prediction (protein-coding sequences, rRNA, tRNA, CRISPR) and functional annotation.
The tool is accessible as a web service and a standalone local application.
Annotation of a typical bacterial genome is completed within 5 minutes.

Main Results:

DFAST successfully annotates prokaryotic genomes, including gene prediction and functional inference.
The pipeline generates results in standard annotation formats.
DFAST facilitates data preparation for submission to the DNA Data Bank of Japan (DDBJ).

Conclusions:

DFAST offers a fast and efficient solution for prokaryotic genome annotation.
The tool simplifies the process of preparing genomic data for public archival.
DFAST is a valuable resource for researchers in prokaryotic genomics and bioinformatics.