bioRxivBioinformaticsPreprint
The Portable Microhaplotype Object and Tools
Nicholas J. HathawayiD, Kathryn MurieiD, Maxwell MurphyiD, Alfred SimkiniD, Jorge-Eduardo Amaya-Romero, Alfred HubbardiD, Jessica J. BriggsiD, Andrés Aranda-DíaziD, Angela M. EarlyiD, Amy WesolowskiiD, Daniel E. NeafseyiD, Jeffrey A. BaileyiD, Bryan GreenhouseiD
Abstract
Structured AbstractO_ST_ABSMotivationC_ST_ABSThe rapid increase in the generation of targeted sequencing data offers immense potential for research, medicine, and public health, however the lack of an established standard for these data has led to disparate solutions for data storage. A widely accepted standard is essential for data sharing, reuse, and the coordinated development of interoperable analysis tools. ResultsWe propose the Portable Microhaplotype Object (PMO), a standardized format for efficiently and losslessly storing phased targeted sequencing data (microhaplotypes). The PMO format is JSON-based, allowing efficient, relational storage of genetic data together with relevant metadata to minimize orphaned data. The format includes required fields and a curated set of optional fields leveraging established ontologies. To facilitate ease of use, we developed pmotools-python, an open-source package for creating, manipulating, and exporting PMO data into common formats. Additionally, we provide a simple web-based app to quickly create PMO files from tabular inputs, making the format accessible to a wide variety of users. Example datasets from Plasmodium, Anopheles, Escherichia coli, and Staphylococcus aureus demonstrate the broad applicability of the approach. PMO will streamline data sharing, foster interoperability, and accelerate the development of harmonized analysis tools. Availability and implementationThe Portable Microhaplotype Object (PMO) project, including the ontology specification, software tools, example datasets, and tutorials, is freely available athttps://plasmogenepi.github.io/PMO_Docs/. Key software components and datasets have archived releases with DOIs to ensure permanence, detailed in the Supplementary Text 1-5. Contactkathrynmmurie@gmail.com or nickjhathaway@gmail.com
- assay: DNA methylation
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- Citations
- 1
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