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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

SOBA: sequence ontology bioinformatics analysis.

Barry Moore¹, Guozhen Fan, Karen Eilbeck

¹Department of Human Genetics, University of Utah, Salt Lake City, Utah, UT 84112, USA.

Nucleic Acids Research

|May 25, 2010

Summary

This summary is machine-generated.

The Sequence Ontology Bioinformatics Analysis (SOBA) tool simplifies genome annotation for research labs. It offers statistical summaries and consistency checks, aiding developers and researchers in creating accessible genome resources.

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Advancements in sequencing technologies have decentralized genome annotation tasks to smaller research laboratories.
These laboratories often face significant bioinformatics challenges due to limited programming expertise.
Existing tools may not adequately support the transition from assembled genomes to annotated resources.

Purpose of the Study:

To introduce the Sequence Ontology Bioinformatics Analysis (SOBA) tool.
To provide a user-friendly solution for statistical and graphical summarization of annotated genomes.
To support annotation consistency and guide the expansion of the Sequence Ontology.

Main Methods:

Development of the SOBA software tool.
Implementation of statistical and graphical summary features for annotated genomes.
Integration of annotation consistency checking and Sequence Ontology term management.

Main Results:

SOBA provides a simple statistical and graphical summary of annotated genomes.
The tool offers feedback on annotation consistency, promoting correct terminology usage.
SOBA assists users in identifying and adding necessary terms to the Sequence Ontology.

Conclusions:

SOBA effectively addresses the bioinformatics burden for research laboratories undertaking genome annotation.
The tool is valuable for annotation jamborees, genome comparisons, and software development feedback.
SOBA enhances the accessibility and quality of genome annotation resources.