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The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain
Scalable technologies to sequence the transcriptomes and epigenomes of single cells are transforming our understanding of cell types and cell states. The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICCN) is applying these technologies at unp...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825473/ https://www.ncbi.nlm.nih.gov/pubmed/36318260 http://dx.doi.org/10.1093/nar/gkac962 |
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author | Ament, Seth A Adkins, Ricky S Carter, Robert Chrysostomou, Elena Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather H Degatano, Kylee Felix, Victor Gandt, Peter Garden, Gwenn A Giglio, Michelle Herb, Brian R Khajouei, Farzaneh Kiernan, Elizabeth McCracken, Carrie McDaniel, Kennedy Nadendla, Suvarna Nickel, Lance Olley, Dustin Orvis, Joshua Receveur, Joseph P Schor, Mike Sonthalia, Shreyash Tickle, Timothy L Way, Jessica Hertzano, Ronna Mahurkar, Anup A White, Owen R |
author_facet | Ament, Seth A Adkins, Ricky S Carter, Robert Chrysostomou, Elena Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather H Degatano, Kylee Felix, Victor Gandt, Peter Garden, Gwenn A Giglio, Michelle Herb, Brian R Khajouei, Farzaneh Kiernan, Elizabeth McCracken, Carrie McDaniel, Kennedy Nadendla, Suvarna Nickel, Lance Olley, Dustin Orvis, Joshua Receveur, Joseph P Schor, Mike Sonthalia, Shreyash Tickle, Timothy L Way, Jessica Hertzano, Ronna Mahurkar, Anup A White, Owen R |
author_sort | Ament, Seth A |
collection | PubMed |
description | Scalable technologies to sequence the transcriptomes and epigenomes of single cells are transforming our understanding of cell types and cell states. The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICCN) is applying these technologies at unprecedented scale to map the cell types in the mammalian brain. In an effort to increase data FAIRness (Findable, Accessible, Interoperable, Reusable), the NIH has established repositories to make data generated by the BICCN and related BRAIN Initiative projects accessible to the broader research community. Here, we describe the Neuroscience Multi-Omic Archive (NeMO Archive; nemoarchive.org), which serves as the primary repository for genomics data from the BRAIN Initiative. Working closely with other BRAIN Initiative researchers, we have organized these data into a continually expanding, curated repository, which contains transcriptomic and epigenomic data from over 50 million brain cells, including single-cell genomic data from all of the major regions of the adult and prenatal human and mouse brains, as well as substantial single-cell genomic data from non-human primates. We make available several tools for accessing these data, including a searchable web portal, a cloud-computing interface for large-scale data processing (implemented on Terra, terra.bio), and a visualization and analysis platform, NeMO Analytics (nemoanalytics.org). |
format | Online Article Text |
id | pubmed-9825473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254732023-01-10 The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain Ament, Seth A Adkins, Ricky S Carter, Robert Chrysostomou, Elena Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather H Degatano, Kylee Felix, Victor Gandt, Peter Garden, Gwenn A Giglio, Michelle Herb, Brian R Khajouei, Farzaneh Kiernan, Elizabeth McCracken, Carrie McDaniel, Kennedy Nadendla, Suvarna Nickel, Lance Olley, Dustin Orvis, Joshua Receveur, Joseph P Schor, Mike Sonthalia, Shreyash Tickle, Timothy L Way, Jessica Hertzano, Ronna Mahurkar, Anup A White, Owen R Nucleic Acids Res Database Issue Scalable technologies to sequence the transcriptomes and epigenomes of single cells are transforming our understanding of cell types and cell states. The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICCN) is applying these technologies at unprecedented scale to map the cell types in the mammalian brain. In an effort to increase data FAIRness (Findable, Accessible, Interoperable, Reusable), the NIH has established repositories to make data generated by the BICCN and related BRAIN Initiative projects accessible to the broader research community. Here, we describe the Neuroscience Multi-Omic Archive (NeMO Archive; nemoarchive.org), which serves as the primary repository for genomics data from the BRAIN Initiative. Working closely with other BRAIN Initiative researchers, we have organized these data into a continually expanding, curated repository, which contains transcriptomic and epigenomic data from over 50 million brain cells, including single-cell genomic data from all of the major regions of the adult and prenatal human and mouse brains, as well as substantial single-cell genomic data from non-human primates. We make available several tools for accessing these data, including a searchable web portal, a cloud-computing interface for large-scale data processing (implemented on Terra, terra.bio), and a visualization and analysis platform, NeMO Analytics (nemoanalytics.org). Oxford University Press 2022-11-01 /pmc/articles/PMC9825473/ /pubmed/36318260 http://dx.doi.org/10.1093/nar/gkac962 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Ament, Seth A Adkins, Ricky S Carter, Robert Chrysostomou, Elena Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather H Degatano, Kylee Felix, Victor Gandt, Peter Garden, Gwenn A Giglio, Michelle Herb, Brian R Khajouei, Farzaneh Kiernan, Elizabeth McCracken, Carrie McDaniel, Kennedy Nadendla, Suvarna Nickel, Lance Olley, Dustin Orvis, Joshua Receveur, Joseph P Schor, Mike Sonthalia, Shreyash Tickle, Timothy L Way, Jessica Hertzano, Ronna Mahurkar, Anup A White, Owen R The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain |
title | The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain |
title_full | The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain |
title_fullStr | The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain |
title_full_unstemmed | The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain |
title_short | The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain |
title_sort | neuroscience multi-omic archive: a brain initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825473/ https://www.ncbi.nlm.nih.gov/pubmed/36318260 http://dx.doi.org/10.1093/nar/gkac962 |
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