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Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications

Objectives: Provide an overview of the emerging themes and notable papers which were published in 2020 in the field of Bioinformatics and Translational Informatics (BTI) for the International Medical Informatics Association Yearbook. Methods: A team of 16 individuals scanned the literature from the...

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Autores principales: McGrath, Scott P., Benton, Mary Lauren, Tavakoli, Maryam, Tatonetti, Nicholas P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416221/
https://www.ncbi.nlm.nih.gov/pubmed/34479393
http://dx.doi.org/10.1055/s-0041-1726540
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author McGrath, Scott P.
Benton, Mary Lauren
Tavakoli, Maryam
Tatonetti, Nicholas P.
author_facet McGrath, Scott P.
Benton, Mary Lauren
Tavakoli, Maryam
Tatonetti, Nicholas P.
author_sort McGrath, Scott P.
collection PubMed
description Objectives: Provide an overview of the emerging themes and notable papers which were published in 2020 in the field of Bioinformatics and Translational Informatics (BTI) for the International Medical Informatics Association Yearbook. Methods: A team of 16 individuals scanned the literature from the past year. Using a scoring rubric, papers were evaluated on their novelty, importance, and objective quality. 1,224 Medical Subject Headings (MeSH) terms extracted from these papers were used to identify themes and research focuses. The authors then used the scoring results to select notable papers and trends presented in this manuscript. Results: The search phase identified 263 potential papers and central themes of coronavirus disease 2019 (COVID-19), machine learning, and bioinformatics were examined in greater detail. Conclusions: When addressing a once in a centruy pandemic, scientists worldwide answered the call, with informaticians playing a critical role. Productivity and innovations reached new heights in both TBI and science, but significant research gaps remain.
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spelling pubmed-84162212021-09-07 Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications McGrath, Scott P. Benton, Mary Lauren Tavakoli, Maryam Tatonetti, Nicholas P. Yearb Med Inform Objectives: Provide an overview of the emerging themes and notable papers which were published in 2020 in the field of Bioinformatics and Translational Informatics (BTI) for the International Medical Informatics Association Yearbook. Methods: A team of 16 individuals scanned the literature from the past year. Using a scoring rubric, papers were evaluated on their novelty, importance, and objective quality. 1,224 Medical Subject Headings (MeSH) terms extracted from these papers were used to identify themes and research focuses. The authors then used the scoring results to select notable papers and trends presented in this manuscript. Results: The search phase identified 263 potential papers and central themes of coronavirus disease 2019 (COVID-19), machine learning, and bioinformatics were examined in greater detail. Conclusions: When addressing a once in a centruy pandemic, scientists worldwide answered the call, with informaticians playing a critical role. Productivity and innovations reached new heights in both TBI and science, but significant research gaps remain. Georg Thieme Verlag KG 2021-08 2021-09-03 /pmc/articles/PMC8416221/ /pubmed/34479393 http://dx.doi.org/10.1055/s-0041-1726540 Text en 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/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle McGrath, Scott P.
Benton, Mary Lauren
Tavakoli, Maryam
Tatonetti, Nicholas P.
Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
title Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
title_full Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
title_fullStr Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
title_full_unstemmed Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
title_short Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
title_sort predictions, pivots, and a pandemic: a review of 2020's top translational bioinformatics publications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416221/
https://www.ncbi.nlm.nih.gov/pubmed/34479393
http://dx.doi.org/10.1055/s-0041-1726540
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