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YAP
  • Before Start
  • Installation
  • TECH BACKGROUND
    • Barcoding
    • Technology References
    • File Formats
  • Mapping Pipeline
  • Prepare
    • Prepare PlateInfo & bcl2fastq SampleSheet
    • Prepare Mapping Config
      • Prepare Reference Files
  • Demultiplex
  • Mapping
    • Mapping Via Qsub
    • Mapping Via Sbatch
    • Mapping Locally
  • Mapping Form Cell-Level FASTQ Files
  • Summary
  • Mapping Metrics
    • Key Mapping Metrics
    • All Mapping Metrics
  • Generate MCDS
  • Pseudo-bulk
    • Methylome Pseudo-bulk
  • Other
    • FAQ
    • Changelog
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On this page
  • Important Note
  • What is YAP?
  • Technologies Supported
  • How to use it?
  • After Mapping?
  • Authors

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Before Start

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Last updated 4 years ago

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Important Note

YAP is a full pipeline designed for raw sequencing data (BCL files and raw FASTQ files before demultiplex) generated .

If you download our published data and want to remap using the cell-level FASTQ files, .

What is YAP?

YAP (Yet Another-Pipeline ) 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 .

Technologies Supported

  • : DNA methylome

  • : DNA methylome + Transcriptome

  • : DNA methylome + Chromatin Contact

  • : X + Chromatin Accessibility

How to use it?

  1. Follow the MAPPING PIPELINE section step by step.

  2. This documentation is searchable.

After Mapping?

Authors

Jingtian Zhou

Chongyuan Luo

Wei Tian

Be familiar with the background of and the technology you use. If not, read the corresponding TECH BACKGROUND section.

Follow the to install yap and associated packages.

If you have questions, first go to the page. If the problem is not solved, you can .

Check out , the package for downstream cell-level and cluster-level analysis.

cell barcoding
installation tutorial
FAQ
post an issue on GitHub
ALLCools
Hanqing Liu
in the Ecker Lab
I provided a tutorial here
See source code on Github.
ALLC files
snmC-seq2 & 3
snmCT-seq
snm3C-seq
NOMe treated