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March 27, 2020

Publish with PLOS ONE

Accelerating the publication of peer-reviewed science

A message to our community regarding COVID-19

From Joerg Heber, Editorial Director, PLOS and Editor-in-Chief, PLOS ONE.

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COVID-19 pandemic (2019-20)

This Collection of articles highlights all content published across the PLOS journals relating to the COVID-19/SARS-Coronavirus-2 pandemic in 2019-20. PLOS is committed to disseminating research as quickly as possible, particularly in public health emergencies

Image credit: US NIH/Public domain (CC-0) and Senado Federal/Flickr (CC-BY)

COVID-19 pandemic (2019-20)



Learning supervised embeddings for large scale sequence comparisons

Kimothi et al developed machine learning supervised approaches for protein sequence retrieval and for protein classification in large scale, providing significantly faster query processing time than commonly used algorithms.

Learning supervised embeddings for large scale sequence comparisons

Image credit: pone.0216636

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