GGD
GGD provides standardized genomic data recipes for reproducible integration and access of genomic datasets, annotations, and genome builds across disparate platforms and file formats.
Key Features:
- Standardized Data Recipes: Provides standardized data recipes to unify dataset formats and genome builds.
- Reproducible Installation: Enables fast, reproducible installation of data recipes.
- Data Collection and Annotation: Facilitates collecting and annotating genomic datasets and annotations.
- Data Transformation: Supports transforming datasets into standardized formats suitable for integration.
- Data Integration: Integrates datasets deposited on disparate platforms and in varied file formats across genome builds.
- Extensibility: Designed to be extensible beyond genomic data types for broader scientific data integration tasks.
Scientific Applications:
- Genomic Data Integration: Combines diverse genomic datasets and annotations across platforms, file formats, and genome builds.
- Reproducible Genomic Analyses: Standardizes data inputs and installations to support reproducible downstream analyses.
- Preparation for Downstream Workflows: Collects, annotates, and transforms datasets for downstream bioinformatics workflows.
Methodology:
Installs standardized data recipes and performs collection, annotation, transformation, and integration of genomic datasets.
Topics
Details
- Tool Type:
- workflow
- Added:
- 9/20/2021
- Last Updated:
- 9/20/2021
Operations
Publications
Cormier MJ, Belyeu JR, Pedersen BS, Brown J, Köster J, Quinlan AR. Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-22381-z. PMID:33846313. PMCID:PMC8041854.
Links
Issue tracker
https://github.com/gogetdata/ggd-recipes/issues