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Updated: Jul 12, 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 2024 Update.

Eric W Sayers¹, Mark Cavanaugh¹, Karen Clark¹

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

|October 27, 2023

Summary

This summary is machine-generated.

GenBank, a major public nucleotide sequence database, has updated its policies and tools. These enhancements improve data quality, user submission processes, and integration with global genomic resources.

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Area of Science:

Bioinformatics
Genomics
Molecular Biology

Background:

GenBank is a critical public repository for nucleotide sequences.
It collaborates globally with ENA and DDBJ for comprehensive data coverage.
Genomic data management requires continuous updates and quality control.

Purpose of the Study:

To inform users about recent GenBank updates and policy changes.
To highlight improvements in data submission and processing.
To announce the transition to new data management and submission tools.

Main Methods:

Database updates and policy revisions.
Enhancement of data processing and contamination screening tools.
Integration of Entrez Genome and Assembly into NCBI Datasets.
Development of new submission portal features and replacement of tbl2asn with table2asn.

Main Results:

GenBank now contains 25 trillion base pairs from over 3.7 billion sequences.
Updated policies facilitate spatio-temporal metadata inclusion.
Improved contamination screening enhances data integrity.
New submission processes streamline user contributions.

Conclusions:

GenBank continues to evolve as a leading public genomic database.
Recent updates enhance data quality, accessibility, and user experience.
The transition to new tools ensures efficient management of vast genomic datasets.