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# Conflicts:
#	DESCRIPTION
#	vignettes/bivariate.ipynb
#	vignettes/create_sfe.ipynb
#	vignettes/create_sfe_v2.ipynb
#	vignettes/localc.ipynb
#	vignettes/multispati.ipynb
#	vignettes/nonspatial.Rmd
#	vignettes/nonspatial.ipynb
#	vignettes/preprocess_10xv3.ipynb
#	vignettes/preprocess_atac.ipynb
#	vignettes/preprocess_clicktag.ipynb
#	vignettes/preprocess_crispr.ipynb
#	vignettes/preprocess_multiome.ipynb
#	vignettes/preprocess_nuclei.ipynb
#	vignettes/preprocess_splitseq.ipynb
#	vignettes/preprocess_visium.ipynb
#	vignettes/sfemethod.ipynb
#	vignettes/variogram.ipynb
#	vignettes/vig10_10x_nuclei.ipynb
#	vignettes/vig11_clicktags.ipynb
#	vignettes/vig12_crispr.ipynb
#	vignettes/vig13_10xatac.ipynb
#	vignettes/vig14_10xmultiome.ipynb
#	vignettes/vig1_visium_basic.Rmd
#	vignettes/vig1_visium_basic.ipynb
#	vignettes/vig2_visium.Rmd
#	vignettes/vig2_visium.ipynb
#	vignettes/vig3_slideseq_v2.ipynb
#	vignettes/vig4_cosmx.ipynb
#	vignettes/vig5_xenium.ipynb
#	vignettes/vig6_merfish.ipynb
#	vignettes/vig7_seqfish.ipynb
#	vignettes/vig8_codex.ipynb
#	vignettes/vig9_splitseq.ipynb
#	vignettes/visium_10x.ipynb
#	vignettes/visium_10x_spatial.Rmd
#	vignettes/visium_10x_spatial.ipynb
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lambdamoses committed Nov 19, 2024
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4 changes: 2 additions & 2 deletions .github/workflows/pkgdown.yaml
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Expand Up @@ -11,7 +11,7 @@ name: pkgdown

jobs:
pkgdown:
runs-on: macos-13
runs-on: ubuntu-latest
# Only restrict concurrency for non-PR jobs
concurrency:
group: pkgdown-${{ github.event_name != 'pull_request' || github.run_id }}
Expand All @@ -25,7 +25,7 @@ jobs:
- name: Setup R and Bioconductor
uses: grimbough/bioc-actions/setup-bioc@v1
with:
bioc-version: devel
bioc-version: release
- uses: r-lib/actions/setup-r-dependencies@v2
with:
extra-packages: any::pkgdown, local::.
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2 changes: 1 addition & 1 deletion DESCRIPTION
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@@ -1,7 +1,7 @@
Type: Package
Package: Voyager
Title: From geospatial to spatial omics
Version: 1.9.1
Version: 1.8.1
Authors@R:
c(person("Lambda", "Moses", email = "[email protected]",
role = c("aut", "cre"),
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1 change: 1 addition & 0 deletions R/plot-transcripts.R
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Expand Up @@ -105,6 +105,7 @@
#' transcript spots of all genes are plotted.
#' @param flip Logical, whether to flip the y axis when plotting data from file.
#' @return A ggplot object, facetting by sample.
#' @concept Spatial plotting
#' @export
#' @importFrom zeallot %<-%
#' @importFrom SpatialFeatureExperiment .check_rg
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2 changes: 1 addition & 1 deletion _pkgdown.yml
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Expand Up @@ -5,7 +5,7 @@ template:
bslib:
text-muted: "#cccccc"
development:
mode: devel
mode: auto
navbar:
title: "Voyager"
left:
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1 change: 1 addition & 0 deletions man/plotTxBin2D.Rd

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6 changes: 3 additions & 3 deletions vignettes/10xatac_landing.Rmd
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Expand Up @@ -23,14 +23,14 @@ The vignettes below provide examples of processing raw data using a workflow tha

| Vignette | Colab Notebook | Description |
|--------------------|:---------------:|---------------------------------|
| [Preprocess raw data](https://pachterlab.github.io/voyager/dev/articles/preprocess_atac.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/preprocess_atac.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |
| [Preprocess raw data](https://pachterlab.github.io/voyager/articles/create_mtx_ca.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_mtx_ca.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |

## Analysis Workflows

The analysis tasks include basic quality control, spatial exploratory data analysis, identification of spatially variable genes, and computation of global and local spatial statistics. Accompanying Google Colab notebooks are linked.

| Vignette | Colab Notebook | Description |
|-------------------|:------------------:|-------------------------------|
| [10X ATAC Basic QC](https://pachterlab.github.io/voyager/dev/articles/vig13_10xatac.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/vig13_10xatac.ipynb) | Basic qc and preprocessing |
| [10X ATAC Basic QC](https://pachterlab.github.io/voyager/articles/vig13_10xatac.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/vig13_10xatac.ipynb) | Basic qc and preprocessing |

6 changes: 3 additions & 3 deletions vignettes/10xcrispr_landing.Rmd
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Expand Up @@ -24,14 +24,14 @@ The vignettes below provide examples of processing raw data using a workflow tha

| Vignette | Colab Notebook | Description |
|--------------------|:---------------:|---------------------------------|
| [Preprocess raw data](https://pachterlab.github.io/voyager/articles/preprocess_crispr.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/preprocess_crispr.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |
| [Preprocess raw data](https://pachterlab.github.io/voyager/articles/create_mtx_ca.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_mtx_ca.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |

## Analysis Workflows

The analysis tasks include basic quality control, spatial exploratory data analysis, identification of spatially variable genes, and computation of global and local spatial statistics. Accompanying Colab notebooks are linked.

| Vignette | Colab Notebook | Description |
|-------------------|:------------------:|-------------------------------|
| [10X CRISPR Basic QC](https://pachterlab.github.io/voyager/dev/articles/vig12_crispr.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/vig12_crispr.ipynb) | Basic qc and preprocessing |
| [10X CRISPR Basic QC](https://pachterlab.github.io/voyager/articles/vig12_crispr.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/vig12_crispr.ipynb) | Basic qc and preprocessing |

6 changes: 3 additions & 3 deletions vignettes/10xmultiome_landing.Rmd
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Expand Up @@ -23,14 +23,14 @@ The vignettes below provide examples of processing raw data using a workflow tha

| Vignette | Colab Notebook | Description |
|--------------------|:---------------:|---------------------------------|
| [Preprocess raw data](https://pachterlab.github.io/voyager/dev/articles/preprocess_multiome.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/preprocess_multiome.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |
| [Preprocess raw data](https://pachterlab.github.io/voyager/articles/create_mtx_ca.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_mtx_ca.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |

## Analysis Workflows

The analysis tasks include basic quality control, spatial exploratory data analysis, identification of spatially variable genes, and computation of global and local spatial statistics. Accompanying Google Colab notebooks are linked.

| Vignette | Colab Notebook | Description |
|-------------------|:------------------:|-------------------------------|
| [10X Multiome Basic QC](https://pachterlab.github.io/voyager/dev/articles/vig14_10xmultiome.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/vig14_10xmultiome.ipynb) | Basic qc and preprocessing |
| [10X Multiome Basic QC](https://pachterlab.github.io/voyager/articles/vig14_10xmultiome.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/vig14_10xmultiome.ipynb) | Basic qc and preprocessing |

6 changes: 3 additions & 3 deletions vignettes/10xnuclei_landing.Rmd
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Expand Up @@ -36,14 +36,14 @@ The vignettes below provide examples of processing raw data using a workflow tha

| Vignette | Colab Notebook | Description |
|--------------------|:---------------:|---------------------------------|
| [Preprocess raw data](https://pachterlab.github.io/voyager/dev/articles/preprocess_nuclei.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/preprocess_nuclei.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/dev/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |
| [Preprocess raw data](https://pachterlab.github.io/voyager/articles/create_mtx_ca.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_mtx_ca.ipynb) | Fetch reference data with `gget`, process raw data with `seqspec`, generate a count matrix with `kallisto-bustools`|
| [Create a `SFE` object](https://pachterlab.github.io/voyager/articles/create_sfe.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/create_sfe.ipynb) | Download data, create `SFE` object |

## Analysis Workflows

The analysis tasks include basic quality control, spatial exploratory data analysis, identification of spatially variable genes, and computation of global and local spatial statistics. Accompanying Colab notebooks are linked.

| Vignette | Colab Notebook | Description |
|-------------------|:------------------:|-------------------------------|
| [Nuclei Basic QC](https://pachterlab.github.io/voyager/dev/articles/vig10_10x_nuclei.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation-devel/vignettes/vig10_10x_nuclei.ipynb) | Basic qc and preprocessing |
| [Nuclei Basic QC](https://pachterlab.github.io/voyager/articles/vig10_10x_nuclei.html) | [Colab Notebook](https://colab.research.google.com/github/pachterlab/voyager/blob/documentation/vignettes/vig10_10x_nuclei.ipynb) | Basic qc and preprocessing |

6 changes: 2 additions & 4 deletions vignettes/bivariate.Rmd
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Expand Up @@ -91,10 +91,8 @@ if (!file.exists("tissue_lowres_5a.jpeg")) {
```

```{r}
sfe <- addImg(sfe, file = "tissue_lowres_5a.jpeg", sample_id = "Vis5A",
image_id = "lowres",
scale_fct = 1024/22208)
sfe <- mirrorImg(sfe, sample_id = "Vis5A", image_id = "lowres")
sfe <- addImg(sfe, imageSource = "tissue_lowres_5a.jpeg", sample_id = "Vis5A",
image_id = "lowres", scale_fct = 1024/22208)
```

```{r}
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