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CReSCENT: CanceR Single Cell ExpressioN Toolkit

CReSCENT: CanceR Single Cell ExpressioN Toolkit (https://crescent.cloud), is an intuitive and scalable web portal incorporating a containerized pipeline execution engine for standardized analysis of single-cell RNA sequencing (scRNA-seq) data. While scRNA-seq data for tumour specimens are readily ge...

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Autores principales: Mohanraj, Suluxan, Díaz-Mejía, J Javier, Pham, Martin D, Elrick, Hillary, Husić, Mia, Rashid, Shaikh, Luo, Ping, Bal, Prabnur, Lu, Kevin, Patel, Samarth, Mahalanabis, Alaina, Naidas, Alaine, Christensen, Erik, Croucher, Danielle, Richards, Laura M, Shooshtari, Parisa, Brudno, Michael, Ramani, Arun K, Pugh, Trevor J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319570/
https://www.ncbi.nlm.nih.gov/pubmed/32479601
http://dx.doi.org/10.1093/nar/gkaa437
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author Mohanraj, Suluxan
Díaz-Mejía, J Javier
Pham, Martin D
Elrick, Hillary
Husić, Mia
Rashid, Shaikh
Luo, Ping
Bal, Prabnur
Lu, Kevin
Patel, Samarth
Mahalanabis, Alaina
Naidas, Alaine
Christensen, Erik
Croucher, Danielle
Richards, Laura M
Shooshtari, Parisa
Brudno, Michael
Ramani, Arun K
Pugh, Trevor J
author_facet Mohanraj, Suluxan
Díaz-Mejía, J Javier
Pham, Martin D
Elrick, Hillary
Husić, Mia
Rashid, Shaikh
Luo, Ping
Bal, Prabnur
Lu, Kevin
Patel, Samarth
Mahalanabis, Alaina
Naidas, Alaine
Christensen, Erik
Croucher, Danielle
Richards, Laura M
Shooshtari, Parisa
Brudno, Michael
Ramani, Arun K
Pugh, Trevor J
author_sort Mohanraj, Suluxan
collection PubMed
description CReSCENT: CanceR Single Cell ExpressioN Toolkit (https://crescent.cloud), is an intuitive and scalable web portal incorporating a containerized pipeline execution engine for standardized analysis of single-cell RNA sequencing (scRNA-seq) data. While scRNA-seq data for tumour specimens are readily generated, subsequent analysis requires high-performance computing infrastructure and user expertise to build analysis pipelines and tailor interpretation for cancer biology. CReSCENT uses public data sets and preconfigured pipelines that are accessible to computational biology non-experts and are user-editable to allow optimization, comparison, and reanalysis for specific experiments. Users can also upload their own scRNA-seq data for analysis and results can be kept private or shared with other users.
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spelling pubmed-73195702020-07-01 CReSCENT: CanceR Single Cell ExpressioN Toolkit Mohanraj, Suluxan Díaz-Mejía, J Javier Pham, Martin D Elrick, Hillary Husić, Mia Rashid, Shaikh Luo, Ping Bal, Prabnur Lu, Kevin Patel, Samarth Mahalanabis, Alaina Naidas, Alaine Christensen, Erik Croucher, Danielle Richards, Laura M Shooshtari, Parisa Brudno, Michael Ramani, Arun K Pugh, Trevor J Nucleic Acids Res Web Server Issue CReSCENT: CanceR Single Cell ExpressioN Toolkit (https://crescent.cloud), is an intuitive and scalable web portal incorporating a containerized pipeline execution engine for standardized analysis of single-cell RNA sequencing (scRNA-seq) data. While scRNA-seq data for tumour specimens are readily generated, subsequent analysis requires high-performance computing infrastructure and user expertise to build analysis pipelines and tailor interpretation for cancer biology. CReSCENT uses public data sets and preconfigured pipelines that are accessible to computational biology non-experts and are user-editable to allow optimization, comparison, and reanalysis for specific experiments. Users can also upload their own scRNA-seq data for analysis and results can be kept private or shared with other users. Oxford University Press 2020-07-02 2020-06-01 /pmc/articles/PMC7319570/ /pubmed/32479601 http://dx.doi.org/10.1093/nar/gkaa437 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Mohanraj, Suluxan
Díaz-Mejía, J Javier
Pham, Martin D
Elrick, Hillary
Husić, Mia
Rashid, Shaikh
Luo, Ping
Bal, Prabnur
Lu, Kevin
Patel, Samarth
Mahalanabis, Alaina
Naidas, Alaine
Christensen, Erik
Croucher, Danielle
Richards, Laura M
Shooshtari, Parisa
Brudno, Michael
Ramani, Arun K
Pugh, Trevor J
CReSCENT: CanceR Single Cell ExpressioN Toolkit
title CReSCENT: CanceR Single Cell ExpressioN Toolkit
title_full CReSCENT: CanceR Single Cell ExpressioN Toolkit
title_fullStr CReSCENT: CanceR Single Cell ExpressioN Toolkit
title_full_unstemmed CReSCENT: CanceR Single Cell ExpressioN Toolkit
title_short CReSCENT: CanceR Single Cell ExpressioN Toolkit
title_sort crescent: cancer single cell expression toolkit
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319570/
https://www.ncbi.nlm.nih.gov/pubmed/32479601
http://dx.doi.org/10.1093/nar/gkaa437
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