MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• RNA-Seq studies are rapidly increasing, with diverse experimental designs.
• Public RNA-Seq data is fragmented across NCBI databases (SRA, Biosample, Bioprojects, GEO).
• Current NCBI interfaces require extensive effort to aggregate study-level metadata.

Purpose of the Study:

• To introduce MetaRNA-Seq, a novel tool for RNA-Seq metadata management.
• To enable interactive browsing, searching, and annotation of RNA-Seq metadata.
• To provide semiautomatic curation capabilities for study-level information.

Main Methods:

• Development of the MetaRNA-Seq tool.
• Integration of metadata from multiple NCBI databases.
• Implementation of interactive search and browsing functionalities.
• Inclusion of semiautomatic curation features.

Main Results:

• MetaRNA-Seq facilitates efficient retrieval of RNA-Seq study metadata.
• The tool enables interactive exploration and annotation of complex datasets.
• Semiautomatic curation improves the organization and understanding of study-level metadata.
• Streamlined access to scattered NCBI RNA-Seq data.

Conclusions:

• MetaRNA-Seq addresses the challenge of fragmented RNA-Seq metadata in public repositories.
• The tool enhances the usability and interpretability of RNA-Seq study data.
• MetaRNA-Seq supports researchers in comprehending complex experimental designs and data types.