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SRAdb: query and use public next-generation sequencing data from within R
BACKGROUND: The Sequence Read Archive (SRA) is the largest public repository of sequencing data from the next generation of sequencing platforms including Illumina (Genome Analyzer, HiSeq, MiSeq, .etc), Roche 454 GS System, Applied Biosystems SOLiD System, Helicos Heliscope, PacBio RS, and others. R...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560148/ https://www.ncbi.nlm.nih.gov/pubmed/23323543 http://dx.doi.org/10.1186/1471-2105-14-19 |
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author | Zhu, Yuelin Stephens, Robert M Meltzer, Paul S Davis, Sean R |
author_facet | Zhu, Yuelin Stephens, Robert M Meltzer, Paul S Davis, Sean R |
author_sort | Zhu, Yuelin |
collection | PubMed |
description | BACKGROUND: The Sequence Read Archive (SRA) is the largest public repository of sequencing data from the next generation of sequencing platforms including Illumina (Genome Analyzer, HiSeq, MiSeq, .etc), Roche 454 GS System, Applied Biosystems SOLiD System, Helicos Heliscope, PacBio RS, and others. RESULTS: SRAdb is an attempt to make queries of the metadata associated with SRA submission, study, sample, experiment and run more robust and precise, and make access to sequencing data in the SRA easier. We have parsed all the SRA metadata into a SQLite database that is routinely updated and can be easily distributed. The SRAdb R/Bioconductor package then utilizes this SQLite database for querying and accessing metadata. Full text search functionality makes querying metadata very flexible and powerful. Fastq files associated with query results can be downloaded easily for local analysis. The package also includes an interface from R to a popular genome browser, the Integrated Genomics Viewer. CONCLUSIONS: SRAdb Bioconductor package provides a convenient and integrated framework to query and access SRA metadata quickly and powerfully from within R. |
format | Online Article Text |
id | pubmed-3560148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35601482013-02-04 SRAdb: query and use public next-generation sequencing data from within R Zhu, Yuelin Stephens, Robert M Meltzer, Paul S Davis, Sean R BMC Bioinformatics Software BACKGROUND: The Sequence Read Archive (SRA) is the largest public repository of sequencing data from the next generation of sequencing platforms including Illumina (Genome Analyzer, HiSeq, MiSeq, .etc), Roche 454 GS System, Applied Biosystems SOLiD System, Helicos Heliscope, PacBio RS, and others. RESULTS: SRAdb is an attempt to make queries of the metadata associated with SRA submission, study, sample, experiment and run more robust and precise, and make access to sequencing data in the SRA easier. We have parsed all the SRA metadata into a SQLite database that is routinely updated and can be easily distributed. The SRAdb R/Bioconductor package then utilizes this SQLite database for querying and accessing metadata. Full text search functionality makes querying metadata very flexible and powerful. Fastq files associated with query results can be downloaded easily for local analysis. The package also includes an interface from R to a popular genome browser, the Integrated Genomics Viewer. CONCLUSIONS: SRAdb Bioconductor package provides a convenient and integrated framework to query and access SRA metadata quickly and powerfully from within R. BioMed Central 2013-01-17 /pmc/articles/PMC3560148/ /pubmed/23323543 http://dx.doi.org/10.1186/1471-2105-14-19 Text en Copyright ©2013 Zhu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Zhu, Yuelin Stephens, Robert M Meltzer, Paul S Davis, Sean R SRAdb: query and use public next-generation sequencing data from within R |
title | SRAdb: query and use public next-generation sequencing data from within R |
title_full | SRAdb: query and use public next-generation sequencing data from within R |
title_fullStr | SRAdb: query and use public next-generation sequencing data from within R |
title_full_unstemmed | SRAdb: query and use public next-generation sequencing data from within R |
title_short | SRAdb: query and use public next-generation sequencing data from within R |
title_sort | sradb: query and use public next-generation sequencing data from within r |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560148/ https://www.ncbi.nlm.nih.gov/pubmed/23323543 http://dx.doi.org/10.1186/1471-2105-14-19 |
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