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Overture: an open-source genomics data platform

delete2025-04-24
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OA
AI
M
Mitchell Shiell
B
Bajari, Rosi
D
Dusan Andric
J
Jon Eubank
B
Brandon Chan
J
Justin Richardsson
A
Azher Ali
B
Bashar Allabadi
Y
Yelizar Alturmessov
J
Jared Baker
A
Ann Catton
K
Kim Cullion
D
Daniel DeMaria
D
Dos Santos, Patrick
H
Henrich Feher
F
Francois Gerthoffert
H
Ha, Minh
R
Robin Haw
A
Atul Kachru
A
Alexandru Lepsa
A
A. H. Li
M
Mistry, Rakesh N.
H
Hardeep K. Nahal-Bose
A
Aleksandra Pejovic
S
Samantha Rich
L
Leonardo Landa Rivera
C
Ciarán Schütte
E
Edmund Su
R
Robert Tisma
J
Jaser Uddin
王畅 (Chang Wang)
A
Alex Wilmer
X
Xiang, Linda
J
Junjun Zhang
L
Lincoln Stein
V
Vincent Ferretti
M
Mélanie Courtot *
C
Christina K. Yung
DOI:10.1093/gigascience/giaf038delete
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Abstract

Abstract

En 中文
Background Next-generation sequencing has created many new technological challenges in organizing and distributing genomics datasets, which now can routinely reach petabyte scales. Coupled with data-hungry artificial intelligence and machine learning applications, findable, accessible, interoperable, and reusable genomics datasets have never been more valuable. While major archives like the Genomics Data Commons, Sequence Reads Archive, and European Genome-Phenome Archive have improved researchers' ability to share and reuse data, and general-purpose repositories such as Zenodo and Figshare provide valuable platforms for research data publication, the diversity of genomics research precludes any one-size-fits-all approach. In many cases, bespoke solutions are required, and despite funding agencies and journals increasingly mandating reusable data practices, researchers still lack the technical support needed to meet the multifaceted challenges of data reuse.Findings Overture bridges this gap by providing open-source software for building and deploying customizable genomics data platforms. Its architecture consists of modular microservices, each of which is generalized with narrow responsibilities that together combine to create complete data management systems. These systems enable researchers to organize, share, and explore their genomics data at any scale. Through Overture, researchers can connect their data to both humans and machines, fostering reproducibility and enabling new insights through controlled data sharing and reuse.Conclusions By making these tools freely available, we can accelerate the development of reliable genomic data management across the research community quickly, flexibly, and at multiple scales. Overture is an open-source project licensed under AGPLv3.0 with all source code publicly available from https://github.com/overture-stack and documentation on development, deployment, and usage available from www.overture.bio.
Keywords:
research software
data management
genomics
open-source
open-science

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