diff --git a/README.md b/README.md index 1853651..61e1796 100644 --- a/README.md +++ b/README.md @@ -22,3 +22,9 @@ devtools::install_github("thereallda/enONE") ``` Tutorial can be found at + +> If you use `enONE` for your analysis, please cite the publication: +> +> **Epitranscriptome analysis of NAD-capped RNA by spike-in-based +> normalization and prediction of chronological age** +> () diff --git a/_pkgdown.yml b/_pkgdown.yml index 022eb51..e676656 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -11,7 +11,7 @@ navbar: - text: "enONE Tutorial" href: articles/enONE_tutorial.html - text: "enONE Tutorial - Chinese" - href: articles/enONE_tutorial-zh.html + href: articles/enONE_tutorial-zh.html - text: "Reference" href: reference/index.html right: diff --git a/vignettes/enONE_tutorial-zh.Rmd b/vignettes/enONE_tutorial-zh.Rmd index 2792e26..310d893 100644 --- a/vignettes/enONE_tutorial-zh.Rmd +++ b/vignettes/enONE_tutorial-zh.Rmd @@ -91,7 +91,7 @@ Enone ### 质量控制(Quality control) -`enONE` 首先进行质量控制步骤,通过 `FilterLowExprGene` 保留至少在 `n` 个样本中至少具有 `min.count` 的基因来完成此步骤。`n` 由 `group` 中指定的最小组样本大小确定。 +`enONE` 首先进行质量控制步骤,通过 `FilterLowExprGene` 保留至少在 `n` 个样本中至少具有 `min.count` 的基因来完成此步骤。`n` 由 `group` 中指定的最小样本组的大小确定。 ```{r} Enone <- FilterLowExprGene(Enone, group = Enone$condition, min.count = 20) @@ -358,7 +358,7 @@ DotPlot(syn_df, x="syn_id", y="logFC", fill="syn_id") + scale_x_discrete(labels=samples_label) ``` -Syn1, which contained 5% NAD-RNA, are significantly enriched, whereas no enrichment is found for Syn2 made up with 100% m7G-RNA. +其中,具有5% NAD-RNA的Syn1有明显富集,而100% m7G-RNA的Syn2并没有出现富集,表明了富集实验的特异性。 ```{r,eval=FALSE} # save Enone data