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Related Experiment Video

Updated: Oct 6, 2025

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

Using GenBank and SRA.

Eric W Sayers¹, Chris O'Sullivan², Ilene Karsch-Mizrachi²

¹National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA. sayers@ncbi.nlm.nih.gov.

Methods in Molecular Biology (Clifton, N.J.)

|January 17, 2022

Summary

This summary is machine-generated.

GenBank and Sequence Read Archive (SRA) are vital public DNA sequence databases. They offer comprehensive data integration and analysis tools for researchers worldwide.

Keywords:

BLAST DNA sequence GenBank NCBI SRA

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Published on: May 19, 2019

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

GenBank and Sequence Read Archive (SRA) are essential public repositories for DNA sequences.
These databases house data from numerous organisms and large-scale sequencing initiatives.
Global data synchronization with ENA and DDBJ ensures comprehensive coverage.

Purpose of the Study:

To describe the scope and accessibility of GenBank and SRA.
To highlight the integrated data retrieval and analysis services offered by NCBI.
To discuss various usage scenarios for researchers.

Main Methods:

Data compilation from individual laboratories and large-scale sequencing projects.
Integration with NCBI's Entrez retrieval system for cross-database searching.
Provision of FTP access for database releases and updates.
Development of web-based tools for online analysis.

Main Results:

GenBank contains data for 480,000 named organisms, including over 176,000 embryophytes.
SRA includes next-generation sequencing data from over 110,000 species.
NCBI Entrez system integrates GenBank and SRA with other biological data.
BLAST enables efficient sequence similarity searches.

Conclusions:

GenBank and SRA are indispensable resources for genomic research.
NCBI provides robust tools for data retrieval, analysis, and integration.
These databases support diverse research applications from local to cloud-based analyses.