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Single Cell Portal: an interactive home for single-cell genomics data

Single-cell omics research has the power to leave a deep impact on modern healthcare. Sharing data widely and freely advances this progress in both the academic and clinical spheres. We developed the Single Cell Portal (SCP) to maximize the impact of this work. SCP enables data sharing, supports dyn...

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Detalles Bibliográficos
Autores principales: Tarhan, Leyla, Bistline, Jon, Chang, Jean, Galloway, Bryan, Hanna, Emily, Weitz, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370058/
https://www.ncbi.nlm.nih.gov/pubmed/37502904
http://dx.doi.org/10.1101/2023.07.13.548886
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author Tarhan, Leyla
Bistline, Jon
Chang, Jean
Galloway, Bryan
Hanna, Emily
Weitz, Eric
author_facet Tarhan, Leyla
Bistline, Jon
Chang, Jean
Galloway, Bryan
Hanna, Emily
Weitz, Eric
author_sort Tarhan, Leyla
collection PubMed
description Single-cell omics research has the power to leave a deep impact on modern healthcare. Sharing data widely and freely advances this progress in both the academic and clinical spheres. We developed the Single Cell Portal (SCP) to maximize the impact of this work. SCP enables data sharing, supports dynamic results visualization, and facilitates scientific exploration across a large repository of single-cell datasets. SCP’s data contributors maintain full control over how their data are shared and presented, without requiring web development expertise. Finally, SCP supports the entire lifecycle of a research project, from sparking an idea, to fine-tuning the data with collaborators, to sharing results in an accessible and interactive way. This paper highlights the most valuable ways in which SCP helps to advance single-cell research.
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spelling pubmed-103700582023-07-27 Single Cell Portal: an interactive home for single-cell genomics data Tarhan, Leyla Bistline, Jon Chang, Jean Galloway, Bryan Hanna, Emily Weitz, Eric bioRxiv Article Single-cell omics research has the power to leave a deep impact on modern healthcare. Sharing data widely and freely advances this progress in both the academic and clinical spheres. We developed the Single Cell Portal (SCP) to maximize the impact of this work. SCP enables data sharing, supports dynamic results visualization, and facilitates scientific exploration across a large repository of single-cell datasets. SCP’s data contributors maintain full control over how their data are shared and presented, without requiring web development expertise. Finally, SCP supports the entire lifecycle of a research project, from sparking an idea, to fine-tuning the data with collaborators, to sharing results in an accessible and interactive way. This paper highlights the most valuable ways in which SCP helps to advance single-cell research. Cold Spring Harbor Laboratory 2023-07-17 /pmc/articles/PMC10370058/ /pubmed/37502904 http://dx.doi.org/10.1101/2023.07.13.548886 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Tarhan, Leyla
Bistline, Jon
Chang, Jean
Galloway, Bryan
Hanna, Emily
Weitz, Eric
Single Cell Portal: an interactive home for single-cell genomics data
title Single Cell Portal: an interactive home for single-cell genomics data
title_full Single Cell Portal: an interactive home for single-cell genomics data
title_fullStr Single Cell Portal: an interactive home for single-cell genomics data
title_full_unstemmed Single Cell Portal: an interactive home for single-cell genomics data
title_short Single Cell Portal: an interactive home for single-cell genomics data
title_sort single cell portal: an interactive home for single-cell genomics data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370058/
https://www.ncbi.nlm.nih.gov/pubmed/37502904
http://dx.doi.org/10.1101/2023.07.13.548886
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