Minimum information and guidelines for reporting a Multiplexed Assay of Variant Effect
Melina Claussnitzer, Victoria N. Parikh, Alex H. Wagner, Jeremy A., Arbesfeld, Carol J. Bult, Helen V. Firth, Lara A. Muffley, Alex N. Nguyen Ba,, Kevin Riehle, Frederick P. Roth, Daniel Tabet, Benedetta Bolognesi, Andrew M., Glazer, Alan F. Rubin

TL;DR
This paper establishes standardized reporting guidelines and a controlled vocabulary for Multiplexed Assays of Variant Effect (MAVEs) to enhance data reproducibility, interoperability, and reuse across diverse research disciplines.
Contribution
It introduces minimum information standards and an ontology-aligned vocabulary for MAVE data, addressing heterogeneity and promoting data sharing.
Findings
Defined minimum information standards for MAVE data
Developed a controlled vocabulary aligned with biomedical ontologies
Facilitated data reproducibility and reuse
Abstract
Multiplexed Assays of Variant Effect (MAVEs) have emerged as a powerful approach for interrogating thousands of genetic variants in a single experiment. The flexibility and widespread adoption of these techniques across diverse disciplines has led to a heterogeneous mix of data formats and descriptions, which complicates the downstream use of the resulting datasets. To address these issues and promote reproducibility and reuse of MAVE data, we define a set of minimum information standards for MAVE data and metadata and outline a controlled vocabulary aligned with established biomedical ontologies for describing these experimental designs.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Genomics and Rare Diseases · Bioinformatics and Genomic Networks
