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CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing

Next-generation sequencing (NGS) has been a widely-used technology in biomedical research for understanding the role of molecular genetics of cells in health and disease. A variety of computational tools have been developed to analyse the vastly growing NGS data, which often require bioinformatics s...

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Detalles Bibliográficos
Autores principales: An, Omer, Tan, Kar-Tong, Li, Ying, Li, Jia, Wu, Chan-Shuo, Zhang, Bin, Chen, Leilei, Yang, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312552/
https://www.ncbi.nlm.nih.gov/pubmed/32481589
http://dx.doi.org/10.3390/ijms21113828
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author An, Omer
Tan, Kar-Tong
Li, Ying
Li, Jia
Wu, Chan-Shuo
Zhang, Bin
Chen, Leilei
Yang, Henry
author_facet An, Omer
Tan, Kar-Tong
Li, Ying
Li, Jia
Wu, Chan-Shuo
Zhang, Bin
Chen, Leilei
Yang, Henry
author_sort An, Omer
collection PubMed
description Next-generation sequencing (NGS) has been a widely-used technology in biomedical research for understanding the role of molecular genetics of cells in health and disease. A variety of computational tools have been developed to analyse the vastly growing NGS data, which often require bioinformatics skills, tedious work and a significant amount of time. To facilitate data processing steps minding the gap between biologists and bioinformaticians, we developed CSI NGS Portal, an online platform which gathers established bioinformatics pipelines to provide fully automated NGS data analysis and sharing in a user-friendly website. The portal currently provides 16 standard pipelines for analysing data from DNA, RNA, smallRNA, ChIP, RIP, 4C, SHAPE, circRNA, eCLIP, Bisulfite and scRNA sequencing, and is flexible to expand with new pipelines. The users can upload raw data in FASTQ format and submit jobs in a few clicks, and the results will be self-accessible via the portal to view/download/share in real-time. The output can be readily used as the final report or as input for other tools depending on the pipeline. Overall, CSI NGS Portal helps researchers rapidly analyse their NGS data and share results with colleagues without the aid of a bioinformatician. The portal is freely available at: https://csibioinfo.nus.edu.sg/csingsportal.
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spelling pubmed-73125522020-06-29 CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing An, Omer Tan, Kar-Tong Li, Ying Li, Jia Wu, Chan-Shuo Zhang, Bin Chen, Leilei Yang, Henry Int J Mol Sci Article Next-generation sequencing (NGS) has been a widely-used technology in biomedical research for understanding the role of molecular genetics of cells in health and disease. A variety of computational tools have been developed to analyse the vastly growing NGS data, which often require bioinformatics skills, tedious work and a significant amount of time. To facilitate data processing steps minding the gap between biologists and bioinformaticians, we developed CSI NGS Portal, an online platform which gathers established bioinformatics pipelines to provide fully automated NGS data analysis and sharing in a user-friendly website. The portal currently provides 16 standard pipelines for analysing data from DNA, RNA, smallRNA, ChIP, RIP, 4C, SHAPE, circRNA, eCLIP, Bisulfite and scRNA sequencing, and is flexible to expand with new pipelines. The users can upload raw data in FASTQ format and submit jobs in a few clicks, and the results will be self-accessible via the portal to view/download/share in real-time. The output can be readily used as the final report or as input for other tools depending on the pipeline. Overall, CSI NGS Portal helps researchers rapidly analyse their NGS data and share results with colleagues without the aid of a bioinformatician. The portal is freely available at: https://csibioinfo.nus.edu.sg/csingsportal. MDPI 2020-05-28 /pmc/articles/PMC7312552/ /pubmed/32481589 http://dx.doi.org/10.3390/ijms21113828 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
An, Omer
Tan, Kar-Tong
Li, Ying
Li, Jia
Wu, Chan-Shuo
Zhang, Bin
Chen, Leilei
Yang, Henry
CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing
title CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing
title_full CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing
title_fullStr CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing
title_full_unstemmed CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing
title_short CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing
title_sort csi ngs portal: an online platform for automated ngs data analysis and sharing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312552/
https://www.ncbi.nlm.nih.gov/pubmed/32481589
http://dx.doi.org/10.3390/ijms21113828
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