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CC BY-NC-ND 4.0 · Yearb Med Inform 2022; 31(01): 116-119
DOI: 10.1055/s-0042-1742538
Section 1: Bioinformatics and Translational Informatics
Synopsis

2021 Bioinformatics and Translational Informatics Best Papers

Mary Lauren Benton
1   Assistant Professor, Department of Computer Science, Baylor University, Waco, TX, USA
,
Scott Patrick McGrath
2   Academic Program Management Officer, CITRIS Health, University of California Berkeley, Missoula, MT, USA
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Summary

Objectives: To identify and summarize the top bioinformatics and translational informatics papers published in 2021 for the IMIA Yearbook.

Methods: We performed a broad literature search to retrieve Bioinformatics and Translational Informatics (BTI) papers and coupled this with a series of editorial and peer reviews to identity the top papers in the area.

Results: We identified a final candidate list of 15 BTI papers for peer-review; from these candidates, the top three papers were chosen to highlight in this synopsis. These papers expand the integration of multi-omics data with electronic health records and use advanced machine learning approaches to tailor models to individual patients. In addition, our honorable mention paper foreshadows the growing impact of BTI research on precision medicine through the continued development of large clinical consortia.

Conclusion: In the top BTI papers this year, we observed several important trends, including the use of deep-learning approaches to analyse diverse data types, the development of integrative and web-accessible bioinformatics pipelines, and a continued focus on the power of individual genome sequencing for precision health.

Keywords

Bioinformatics - biomedical informatics - machine learning - precision medicine - genomics

Section Editors for the IMIA Yearbook Section on Bioinformatics and Translational Informatics




Publication History

Article published online:
04 December 2022

© 2022. IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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