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Running AMR bioinformatic tools using Google colab

Authors: Su Datt Lam; Sabrina Di Gregorio; Mia Yang Ang; Tengku Zetty Maztura Tengku Jamaluddin; Sheila Nathan; Hui-min Neoh;

Running AMR bioinformatic tools using Google colab

Abstract

This manual provide instructions on how to use AMRfinder Plus and hAMRonization via the Google Colab, and was developed by Antimicrobial Resistance Sub-Grant Team Malaysia (Universiti Kebangsaan Malaysia, University of Tokyo, University of Buenos Aires and Universiti Putra Malaysia), Public Health Alliance for Genomic epidemiology (PHA4GE), (sub-grant code AMR-SG-02). This funding is from a sub-grant from PHA4GE, and also part of a bigger research grant from the Bill and Melinda Gates Foundation (INV-003655) to PHA4GE. The project is headed by the National University of Malaysia (UKM), and registered with UKM code of JJ-2021-006. The version 2.0 (2023) was built under the first one, and added a new tutorial on how Convert hAMRonization output to Microreact ready format via the Google Colab.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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