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Updated: Jun 7, 2025

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
Published on: August 25, 2018
NCBI RefSeq: reference sequence standards through 25 years of curation and annotation
Tamara Goldfarb1, Vamsi K Kodali1, Shashikant Pujar1
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD 20894, USA.
The Reference Sequence (RefSeq) database provides essential genomic, transcript, and protein data for biological research. It is continuously updated with high-quality annotations to support gene function discovery and comparative genomics across diverse organisms.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Reference sequences and annotations are fundamental for organism identification and understanding gene, transcript, and protein functions.
- Data interpretation from transcriptomics, proteomics, and sequence variation relies heavily on accurate reference gene annotations.
- These annotations drive biomedical discoveries by elucidating gene function and disease mechanisms.
Purpose of the Study:
- To summarize the current status of the eukaryotic, prokaryotic, and viral RefSeq resources.
- To highlight advancements in eukaryotic annotation and increased taxonomic representation.
- To discuss the impact of these updates on comparative genomics.
Main Methods:
- Leveraging automatic processes and expert curation to build a robust set of reference sequences.
- Refining annotation and quality control processes.
- Utilizing high-quality genomes from advanced sequencing technologies and RNA-Seq data.
Main Results:
- Production of high-quality annotated genomes and ortholog predictions across a wider range of organisms.
- Enhanced accessibility of RefSeq products through multiple NCBI resources.
- Focus on eukaryotic annotation and expanded taxonomic coverage.
Conclusions:
- The RefSeq resource provides a high-quality, comprehensive foundation for diverse biological research.
- Ongoing improvements in annotation and data quality enhance its utility for comparative genomics.
- The resource is crucial for advancing our understanding of gene function and biological systems.
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