Literature DB >> 33846313

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

Michael J Cormier1,2, Jonathan R Belyeu1,2, Brent S Pedersen1,2, Joseph Brown1,2, Johannes Köster3, Aaron R Quinlan4,5,6.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33846313     DOI: 10.1038/s41467-021-22381-z

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  1 in total

1.  De novo structural mutation rates and gamete-of-origin biases revealed through genome sequencing of 2,396 families.

Authors:  Jonathan R Belyeu; Harrison Brand; Harold Wang; Xuefang Zhao; Brent S Pedersen; Julie Feusier; Meenal Gupta; Thomas J Nicholas; Joseph Brown; Lisa Baird; Bernie Devlin; Stephan J Sanders; Lynn B Jorde; Michael E Talkowski; Aaron R Quinlan
Journal:  Am J Hum Genet       Date:  2021-03-05       Impact factor: 11.043

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.