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Collection and Extraction of Saliva DNA for Next Generation Sequencing
Published on: August 27, 2014
SRAdb: query and use public next-generation sequencing data from within R.
Yuelin Zhu1, Robert M Stephens, Paul S Meltzer
1Genetics Branch, National Cancer Institute, National Institutes of HealthBethesda, MD 20892, USA.
BMC Bioinformatics
|January 18, 2013
Summary
The SRAdb R/Bioconductor package offers a powerful way to query the Sequence Read Archive (SRA) metadata. It simplifies accessing and analyzing sequencing data from various next-generation platforms.
Area of Science:
- Bioinformatics
- Genomics
- Data Science
Background:
- The Sequence Read Archive (SRA) is a major public repository for next-generation sequencing data.
- It hosts data from diverse platforms like Illumina, Roche 454, SOLiD, Helicos, and PacBio.
Purpose of the Study:
- To develop a robust and precise method for querying SRA metadata.
- To enhance accessibility to sequencing data within the SRA.
Main Methods:
- Parsed all SRA metadata into a regularly updated SQLite database.
- Developed the SRAdb R/Bioconductor package to utilize the SQLite database.
- Implemented full-text search for flexible metadata querying.
Main Results:
- SRAdb provides a structured SQLite database of SRA metadata.
- The R/Bioconductor package enables efficient querying and access to metadata.
- Users can easily download FASTQ files for local analysis.
- Includes an interface to the Integrated Genomics Viewer (IGV).
Conclusions:
- SRAdb offers a convenient and integrated R framework for SRA metadata.
- Facilitates quick and powerful querying and access to sequencing data metadata.
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