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CReSCENT: CanceR Single Cell ExpressioN Toolkit.
Nucleic Acids Research ( IF 16.6 ) Pub Date : 2020-06-01 , DOI: 10.1093/nar/gkaa437
Suluxan Mohanraj 1 , J Javier Díaz-Mejía 1 , Martin D Pham 2 , Hillary Elrick 2 , Mia Husić 2 , Shaikh Rashid 2 , Ping Luo 1 , Prabnur Bal 2 , Kevin Lu 2 , Samarth Patel 2 , Alaina Mahalanabis 2 , Alaine Naidas 3 , Erik Christensen 3 , Danielle Croucher 1 , Laura M Richards 1 , Parisa Shooshtari 3, 4, 5 , Michael Brudno 2, 6, 7 , Arun K Ramani 2 , Trevor J Pugh 1, 5, 8
Affiliation  

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.

中文翻译:

最新消息:CanceR单细胞表达工具包。

最新消息:CanceR单细胞表达工具包(https://crescent.cloud)是一个直观且可扩展的Web门户,其中集成了容器化的管道执行引擎,可对单细胞RNA测序(scRNA-seq)数据进行标准化分析。尽管可以轻松生成肿瘤标本的scRNA-seq数据,但随后的分析需要高性能的计算基础架构和用户专业知识来建立分析管道并定制针对癌症生物学的解释。CReSCENT使用公共数据集和预先配置的管道,计算生物学非专家可以访问这些管道,并且可以对其进行用户编辑以允许针对特定实验进行优化,比较和重新分析。用户还可以上传自己的scRNA-seq数据进行分析,结果可以保密或与其他用户共享。
更新日期:2020-06-27
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