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2021 Bioinformatics and Translational Informatics Best Papers

机译:2021 生物信息学和转化信息学最佳论文

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摘要

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.
机译:目标: 确定和总结2021年为IMIA年鉴发表的顶级生物信息学和转化信息学论文。方法 : 我们进行了广泛的文献检索以检索生物信息学和转化信息学 (BTI) 论文,并将其与一系列编辑和同行评审相结合,以确定该领域的顶级论文。结果 : 我们确定了 15 篇 BTI 论文的最终候选名单以供同行评审;从这些候选人中,选出了前三篇论文,在本概要中突出显示。这些论文扩展了多组学数据与电子健康记录的集成,并使用先进的机器学习方法为个体患者定制模型。此外,我们的荣誉提名论文预示着 BTI 研究通过大型临床联盟的持续发展对精准医学的影响越来越大。结论:在今年的顶级 BTI 论文中,我们观察到了几个重要趋势,包括使用深度学习方法分析各种数据类型、开发综合和网络可访问的生物信息学管道,以及持续关注个体基因组测序对精准健康的力量。

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