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Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data

Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_229a1630d4cf43f5bf84c23578b10f64

Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data

About this item

Full title

Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2021-04, Vol.12 (1), p.2151-2151, Article 2151

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The rapid increase in the amount of genomic data provides researchers with an opportunity to integrate diverse datasets and annotations when addressing a wide range of biological questions. However, genomic datasets are deposited on different platforms and are stored in numerous formats from multiple genome builds, which complicates the task of collecting, annotating, transforming, and integrating data as needed. Here, we developed Go Get Data (GGD) as a fast, reproducible approach to installing standardized data recipes. GGD is available on Github (
https://gogetdata.github.io/
), is extendable to other data types, and can streamline the complexities typically associated with data integration, saving researchers time and improving research reproducibility.
Modern biological research is complicated by the difficulty of collecting, transforming, annotating, and integrating datasets. Here, the authors present Go G...

Alternative Titles

Full title

Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_229a1630d4cf43f5bf84c23578b10f64

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_229a1630d4cf43f5bf84c23578b10f64

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-021-22381-z

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