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      Bioinformatics and the Metaverse: Are We Ready?

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          Abstract

          COVID-19 forced humanity to think about new ways of working globally without physically being present with other people, and eXtended Reality (XR) systems (defined as Virtual Reality, Augmented Reality and Mixed Reality) offer a potentially elegant solution. Previously seen as mainly for gaming, commercial and research institutions are investigating XR solutions to solve real world problems from training, simulation, mental health, data analysis, and studying disease progression. More recently large corporations such as Microsoft and Meta have announced they are developing the Metaverse as a new paradigm to interact with the digital world. This article will look at how visualization can leverage the Metaverse in bioinformatics research, the pros and cons of this technology, and what the future may hold.

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          Most cited references37

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          An Integrated Brain-Machine Interface Platform With Thousands of Channels

          Elon Musk (2019)
          Brain-machine interfaces hold promise for the restoration of sensory and motor function and the treatment of neurological disorders, but clinical brain-machine interfaces have not yet been widely adopted, in part, because modest channel counts have limited their potential. In this white paper, we describe Neuralink’s first steps toward a scalable high-bandwidth brain-machine interface system. We have built arrays of small and flexible electrode “threads,” with as many as 3072 electrodes per array distributed across 96 threads. We have also built a neurosurgical robot capable of inserting six threads (192 electrodes) per minute. Each thread can be individually inserted into the brain with micron precision for avoidance of surface vasculature and targeting specific brain regions. The electrode array is packaged into a small implantable device that contains custom chips for low-power on-board amplification and digitization: The package for 3072 channels occupies less than 23×18.5×2 mm3. A single USB-C cable provides full-bandwidth data streaming from the device, recording from all channels simultaneously. This system has achieved a spiking yield of up to 70% in chronically implanted electrodes. Neuralink’s approach to brain-machine interface has unprecedented packaging density and scalability in a clinically relevant package.
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            Virtual memory palaces: immersion aids recall

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              Three-dimensional imaging mass cytometry for highly multiplexed molecular and cellular mapping of tissues and the tumor microenvironment

              A holistic understanding of tissue and organ structure and function requires the detection of molecular constituents in their original three-dimensional (3D) context. Imaging mass cytometry (IMC) enables simultaneous detection of up to 40 antigens and transcripts using metal-tagged antibodies but has so far been restricted to two-dimensional imaging. Here we report the development of 3D IMC for multiplexed 3D tissue analysis at single-cell resolution and demonstrate the utility of the technology by analysis of human breast cancer samples. The resulting 3D models reveal cellular and microenvironmental heterogeneity and cell-level tissue organization not detectable in two dimensions. 3D IMC will prove powerful in the study of phenomena occurring in 3D space such as tumor cell invasion and is expected to provide invaluable insights into cellular microenvironments and tissue architecture.
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                Author and article information

                Contributors
                Journal
                Front Bioinform
                Front Bioinform
                Front. Bioinform.
                Frontiers in Bioinformatics
                Frontiers Media S.A.
                2673-7647
                12 May 2022
                2022
                : 2
                : 863676
                Affiliations
                [1] 1 Analysis, Visualization and Informatics Group , MRC Weatherall Institute of Computational Biology , MRC Weatherall Institute of Molecular Medicine , Oxford, United Kingdom
                [2] 2 Division of Molecular Hematology , Department of Laboratory Medicine , Faculty of Medicine , BMC , Lund University , Lund, Sweden
                [3] 3 Lund Stem Cell Center , Faculty of Medicine , BMC , Lund University , Lund, Sweden
                Author notes

                Edited by: Sean O'Donoghue, Garvan Institute of Medical Research, Australia

                Reviewed by: Jan Byška, Masaryk University, Czechia

                *Correspondence: Stephen Taylor, stephen.taylor@ 123456imm.ox.ac.uk

                This article was submitted to Data Visualization, a section of the journal Frontiers in Bioinformatics

                Article
                863676
                10.3389/fbinf.2022.863676
                9580841
                36304263
                558ec869-ceb5-4fe2-a13d-8e734b43089c
                Copyright © 2022 Taylor and Soneji.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 January 2022
                : 20 April 2022
                Funding
                Funded by: Medical Research Council , doi 10.13039/501100000265;
                Categories
                Bioinformatics
                Perspective

                metaverse,virtual reality,augmented reality,mixed reality,visualization,immersive,bioinformatcs

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