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Related Experiment Video

Updated: Jun 7, 2025

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

GenBank 2025 update.

Eric W Sayers¹, Mark Cavanaugh¹, Linda Frisse¹

¹National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA.

Nucleic Acids Research

|November 18, 2024

Summary

This summary is machine-generated.

GenBank, a global nucleotide sequence database, offers over 4.7 billion sequences for 581,000 species. Recent updates include faster influenza processing and improved submission tools for researchers.

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Area of Science:

Bioinformatics
Genomics
Molecular Biology

Background:

GenBank is a vital public repository for nucleotide sequences.
It ensures global data coverage through daily exchange with international archives.
The database houses 34 trillion base pairs from over 4.7 billion sequences.

Purpose of the Study:

To summarize the content and recent updates of the GenBank database in 2025.
To provide an overview of data access interfaces.
To highlight the importance of metadata submission for specific data types.

Main Methods:

Database content analysis for 2025.
Review of recent updates and new features.
Description of web, API, and command-line access methods.
Discussion of submission guidelines for BioProject and BioSample records.

Main Results:

GenBank contains 34 trillion base pairs from over 4.7 billion sequences across 581,000 species.
Accelerated processing for influenza sequences and enhanced submission portal for mRNA sequences are new features.
Emphasis on BioProject and BioSample record importance for virus and metagenome submissions.

Conclusions:

GenBank remains a critical resource for biological data.
Recent updates enhance data submission and processing efficiency.
Proper metadata submission is crucial for data discoverability and integration.