Please use this identifier to cite or link to this item: https://doi.org/10.3390/ijms21113828
Title: CSI NGS portal: An online platform for automated NGS data analysis and sharing
Authors: An, O.
Tan, K.-T. 
Li, Y. 
Li, J. 
Wu, C.-S. 
Zhang, B. 
Chen, L. 
Yang, H. 
Keywords: Bioinformatics pipelines
NGS data analysis
NGS pipelines
Issue Date: 2020
Publisher: MDPI AG
Citation: An, O., Tan, K.-T., Li, Y., Li, J., Wu, C.-S., Zhang, B., Chen, L., Yang, H. (2020). CSI NGS portal: An online platform for automated NGS data analysis and sharing. International Journal of Molecular Sciences 21 (11) : 3828. ScholarBank@NUS Repository. https://doi.org/10.3390/ijms21113828
Rights: Attribution 4.0 International
Abstract: 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. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Source Title: International Journal of Molecular Sciences
URI: https://scholarbank.nus.edu.sg/handle/10635/196142
ISSN: 1661-6596
DOI: 10.3390/ijms21113828
Rights: Attribution 4.0 International
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