# Before Start

## Important Note

{% hint style="warning" %}
YAP is a full pipeline designed for raw sequencing data (BCL files and raw FASTQ files before demultiplex) generated [in the Ecker Lab](https://ecker.salk.edu/).

**If you download our published data and want to remap using the cell-level FASTQ files,** [**I provided a tutorial here**](https://hq-1.gitbook.io/mc/mapping-form-cell-level-fastq-files)**.**
{% endhint %}

## What is YAP?

YAP (**Y**et **A**nother-**P**ipeline ) is a mapping pipeline designed for several single nucleus methyl-cytosine sequencing (snmC-seq) based technologies (see below).

It starts from demultiplexing FASTQ files and ends at generating single-cell [ALLC files](https://hq-1.gitbook.io/mc/tech-background/file-formats#allc-file).

[See source code on Github.](https://github.com/lhqing/cemba_data)

## Technologies Supported

* [snmC-seq2 & 3](https://hq-1.gitbook.io/mc/tech-background/tech-ref#snmc-seq2-3): DNA methylome
* [snmCT-seq](https://hq-1.gitbook.io/mc/tech-background/tech-ref#snmct-seq): DNA methylome + Transcriptome
* [snm3C-seq](https://hq-1.gitbook.io/mc/tech-background/tech-ref#snm-3-c-seq): DNA methylome + Chromatin Contact
* [NOMe treated](https://hq-1.gitbook.io/mc/tech-background/tech-ref#snmct-seq): X + Chromatin Accessibility

## How to use it?

1. Be familiar with the background of [cell barcoding](https://hq-1.gitbook.io/mc/tech-background/barcoding) and the technology you use. If not, read the corresponding TECH BACKGROUND section.
2. Follow the [installation tutorial](https://hq-1.gitbook.io/mc/installation) to install `yap` and associated packages.
3. Follow the MAPPING PIPELINE section step by step.
4. If you have questions, first go to the [FAQ](https://hq-1.gitbook.io/mc/other/faq) page. **If the problem is not solved, you can** [**post an issue on GitHub**](https://github.com/lhqing/cemba_data/issues/new)**.**
5. This documentation is searchable.

## After Mapping?

Check out [ALLCools](https://github.com/lhqing/ALLCools), the package for downstream cell-level and cluster-level analysis.

## Authors

[Hanqing Liu](https://github.com/lhqing)

Jingtian Zhou

Chongyuan Luo

Wei Tian


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