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      pysradb: A Python package to query next-generation sequencing metadata and data from NCBI Sequence Read Archive

      research-article
      a , 1
      F1000Research
      F1000 Research Limited
      bioinformatics, metadata, SRA, NGS, NCBI, GEO

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          Abstract

          The NCBI Sequence Read Archive (SRA) is the primary archive of next-generation sequencing datasets. SRA makes metadata and raw sequencing data available to the research community to encourage reproducibility and to provide avenues for testing novel hypotheses on publicly available data. However, methods to programmatically access this data are limited. We introduce the Python package, pysradb, which provides a collection of command line methods to query and download metadata and data from SRA, utilizing the curated metadata database available through the SRAdb project. We demonstrate the utility of pysradb on multiple use cases for searching and downloading SRA datasets. It is available freely at https://github.com/saketkc/pysradb.

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          Most cited references8

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          Bioconda: sustainable and comprehensive software distribution for the life sciences

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            Reproducible RNA-seq analysis using recount2

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              Widespread Translational Remodeling during Human Neuronal Differentiation

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal AnalysisRole: MethodologyRole: SoftwareRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Journal
                F1000Res
                F1000Res
                F1000Research
                F1000Research
                F1000 Research Limited (London, UK )
                2046-1402
                23 April 2019
                2019
                : 8
                : 532
                Affiliations
                [1 ]Computational Biology and Bioinformatics, University of Southern California, Los Angeles, California, 90089, USA
                [1 ]Bioinformatics and Scientific Programming Core, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
                [1 ]Bioinformatics Group, Babraham Institute, Cambridge, UK
                Author notes

                No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Author information
                https://orcid.org/0000-0001-5202-7633
                Article
                10.12688/f1000research.18676.1
                6505635
                31114675
                0ccc5534-1fb8-447a-bafb-62abf4e7109a
                Copyright: © 2019 Choudhary S

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 April 2019
                Funding
                The author(s) declared that no grants were involved in supporting this work.
                Categories
                Software Tool Article
                Articles

                bioinformatics,metadata,sra,ngs,ncbi,geo
                bioinformatics, metadata, sra, ngs, ncbi, geo

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