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update site
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ncborcherding committed Dec 14, 2023
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2 changes: 1 addition & 1 deletion index.md
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We are working on submitting the scRepertoire as a peer review article, for now:

***Borcherding, N. & Wang, Q. 2023. scRepertoire v2: Expanded toolkit for single-cell immune repertoire analysis***
***Borcherding, N. & Yang, Q. 2023. scRepertoire v2: Expanded toolkit for single-cell immune repertoire analysis***

## Bug Reports/New Features

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3 changes: 1 addition & 2 deletions inst/pkgdown.yml
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Repertoire_Summary: Repertoire_Summary.html
SC_Visualizations: SC_Visualizations.html
Trex: Trex.html
Trex_Trajectory: Trex_Trajectory.html
last_built: 2023-11-17T15:37Z
last_built: 2023-12-13T21:18Z
urls:
reference: https://www.borch.dev/uploads/scRepertoire/reference
article: https://www.borch.dev/uploads/scRepertoire/articles
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9 changes: 5 additions & 4 deletions vignettes/articles/SC_Visualizations.Rmd
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## highlightClones

We can also look at the clonotypes by calling specific sequences in the `highlightClonotypes()` below. In order to highlight the clonotypes, we first need to use the **cloneCall**, the type of sequence we will be using, and then the specific sequences themselves using **sequence**. Below, we can see the steps to highlight the two most prominent sequences *"CVVSDNTGGFKTIF_CASSVRRERANTGELFF"* and *"NA_CASSVRRERANTGELFF"*.
We can also look at the clonotypes by calling specific sequences in the `highlightClonotypes()` below. In order to highlight the clonotypes, we first need to use the **cloneCall**, the type of sequence we will be using, and then the specific sequences themselves using **sequence**. Below, we can see the steps to highlight the most prominent sequences *CAERGSGGSYIPTF_CASSDPSGRQGPRWDTQYF*, and *CARKVRDSSYKLIF_CASSDSGYNEQFF*.

```{r tidy = FALSE}
scRep_example <- highlightClones(scRep_example,
cloneCall= "aa",
sequence = c("CVVSDNTGGFKTIF_CASSVRRERANTGELFF",
"NA_CASSVRRERANTGELFF"))
sequence = c("CAERGSGGSYIPTF_CASSDPSGRQGPRWDTQYF",
"CARKVRDSSYKLIF_CASSDSGYNEQFF"))
Seurat::DimPlot(scRep_example, group.by = "highlight")
Seurat::DimPlot(scRep_example, group.by = "highlight") +
ggplot2::theme(plot.title = element_blank())
```

## clonalOccupy
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