NPARS-A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science.

ABSTRACT: Background: Accuracy and reproducibility are vital in science and presents a significant challenge in the emerging discipline of data science, especially when the data are scientifically complex and massive in size. Further complicating matters, in the field of genomic-based science high-throughput sequencing technologies generate considerable amounts of data that needs to be stored, manipulated, and analyzed using a plethora of software tools. Researchers are rarely able to reproduce published genomic studies. Results: Presented is a novel approach which facilitates accuracy and reproducibility for large genomic research data sets. All data needed is loaded into a portable local database, which serves as an interface for well-known software frameworks. These include python-b

SUBMITTER: Ma L 

PROVIDER: S-EPMC8503682 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature