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rhshah authored and gitbook-bot committed May 7, 2021
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1 change: 1 addition & 0 deletions docs/SUMMARY.md
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* [CNA Processing](analysis/cna-processing.md)
* [Create Patient Report](analysis/create-report.md)
* [Intermediate File Organization](analysis/intermediate-file-organization.md)

25 changes: 16 additions & 9 deletions docs/analysis/create-report.md
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---
description: Step 5 -- Create a report showing genomic alteration data for all samples of a patient.
description: >-
Step 5 -- Create a report showing genomic alteration data for all samples of a
patient.
---

# Patient report
# Create Patient Report

The final step takes the processed data from the previous steps and plots the genomic alterations over all samples of each patient. The report includes several sections with interactive plots:

### 1. Patient information
The first section displays the patient ID, DMP id (if provided), tumor type (if provided), and each sample. Any provided sample meta-information is also display for each sample.
## 1. Patient information

### 2. Plot of SNV variant allele frequencies
The second section shows SNV/INDEL events are plotted out by VAFs over timepoints. Above the panel it also display sample timepoint annotation, such as treatment information (if provided). If you provide IMPACT sample information, it will segregate each mutation by whether it is known to be clonal in IMPACT, subclonal in IMPACT, or is present in ACCESS only. There are additional tabs that display a table of mutation data and methods description.
The first section displays the patient ID, DMP id \(if provided\), tumor type \(if provided\), and each sample. Any provided sample meta-information is also display for each sample.

## 2. Plot of SNV variant allele frequencies

The second section shows SNV/INDEL events are plotted out by VAFs over timepoints. Above the panel it also display sample timepoint annotation, such as treatment information \(if provided\). If you provide IMPACT sample information, it will segregate each mutation by whether it is known to be clonal in IMPACT, subclonal in IMPACT, or is present in ACCESS only. There are additional tabs that display a table of mutation data and methods description.

## 3. Plot of copy number alterations

### 3. Plot of copy number alterations
The third section shows CNAs that are plotted by fold-change\(fc\) for each ACCESS sample and gene. If there are no CNAs, then this section is not displayed.

### 4. Plot of clonal SNV/INDEL VAFs adjusted for copy number
## 4. Plot of clonal SNV/INDEL VAFs adjusted for copy number

If you provided an IMPACT sample, this last section will show SNV/INDEL events that are plotted out by VAFs over timepoints. However, the VAFs are corrected for IMPACT copy number information. Details of the method are shown under the `Description` tab in this section. Similar to section 2, sample timepoint annotations are shown above the plot.

### Usage
## Usage

```text
Rscript reports/create_report.R -h
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-o OUTPUT, --output OUTPUT
Output file
```

10 changes: 7 additions & 3 deletions docs/analysis/overview-of-analysis-workflow.md
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# Overview of Analysis Workflow

The pipeline aims to generate uniform and useful outputs for analyst in preliminary stage of analysis.
The pipeline aims to generate uniform and useful outputs for analyst in preliminary stage of analysis.

Example command to run through the pipeline:

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## [3. SV incorporation](sv-incorporation.md)

```bash
> Rscript R/CNA_processing.R -m $PATH/TO/manifest_file.tsv -o $PATH/TO/results_folder
> Rscript R/SV_incorporation.R -m $PATH/TO/manifest_file.tsv -o $PATH/TO/results_folder
```

## [4. CNA processing](cna-processing.md)
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> Rscript R/CNA_processing.R -m $PATH/TO/manifest_file.tsv -o $PATH/TO/results_folder
```

## [5. Plot all events](plot-all-events.md)
## [5. Plot all events]()

```bash
> Rscript R/plot_all_events.R -m $PATH/TO/manifest_file.tsv -o $PATH/TO/results_folder
```

## [6. Generate HTML report](overview-of-analysis-workflow.md#6-generate-html-report)

##

4 changes: 1 addition & 3 deletions docs/setup/installation.md
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```bash
conda create --name access_data_analysis python=3
conda activate access_data_analysis
conda install r-essentials r-base r-argparse r-ggpubr r-ggthemes
conda install r-essentials r-base r-argparse r-ggpubr r-ggthemes r-plotly r-kableextra r-htmlwidgets r-dt
pip install genotype-variants
```



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