项目介绍

francescopatane96/RNA-seq_Pipeline 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,采用 GNU General Public License v3.0 许可证,目前获得 2 个 Star、1 次 Fork。

仓库全名
francescopatane96/RNA-seq_Pipeline

README 摘要

RNA-seqPipeline Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last module of the project allows you to use clusterprofiler…

完整内容见 GitHub 原始 README 或本页 。

常见问题

RNA-seq_Pipeline 用什么语言开发?

主要使用 Jupyter Notebook 编写,采用 GNU General Public License v3.0 许可证,目前有 2 个 Star。

RNA-seq_Pipeline 可以免费商用吗?

仓库标注的许可证为 GNU General Public License v3.0,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 RNA-seq_Pipeline 的源码?

可以直接克隆仓库:git clone https://github.com/francescopatane96/RNA-seq_Pipeline.git,默认分支为 main;安装与运行步骤见仓库 README。

RNA-seq_Pipeline 最近还在维护吗?

仓库最近一次更新为 2023年4月14日,当前没有未关闭的 Issue;Star 数为 2,可作为社区活跃度的参考。

关于

Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last module of the project allows you to use clusterprofiler in order to perform ORA and GSEA analysis (over-representation analysis and gene set enrichment analysis) using GeneOntology (GO), disease ontology (DO), KEGG, reactome eg...

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

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