Metadata-Version: 2.1
Name: cg-fluffy
Version: 0.4.7
Summary: NIPT analysis pipeline
Home-page: https://github.com/Clinical-Genomics/fluffy
Author: Jesper Eisfeldt
Author-email: jesper.eisfeldt@scilifelab.com
License: MIT
Keywords: vcf,compression
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Unix
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
Requires-Dist: click
Requires-Dist: coloredlogs
Requires-Dist: slurmpy
Requires-Dist: pyyaml


![Build](https://github.com/Clinical-Genomics/fluffy/workflows/Build/badge.svg)
[![codecov](https://codecov.io/gh/Clinical-Genomics/fluffy/branch/master/graph/badge.svg)](https://codecov.io/gh/Clinical-Genomics/fluffy)
# FluFFyPipe
NIPT analysis pipeline, using WisecondorX for detecting aneuplodies and large CNVs, AMYCNE for FFY and PREFACE for FF prediction (optional). FluFFYPipe produces a variety of output files, as well as a per batch csv summary.

<p align="center">
<img src="https://github.com/J35P312/FluFFyPipe/blob/master/logo/IMG_20200320_132001.jpg" width="400" height="400" >
</p>

# Run FluFFyPipe
Run NIPT analysis:

    fluffy --sample <samplesheet>  --project <input_folder> --out <output_folder> analyse

optionally, skip preface:

    fluffy --sample <samplesheet>  --project <input_folder> --out <output_folder> --skip_preface analyse

All output will be written to the output folder, this output includes:

```
bam files
wisecondorX output
tiddit coverage summary
Fetal fraction estimation
```

as well as a summary csv (per batch)

the input folder is a project folder containing one folder per sample, each of these subfolders contain the fastq file(s).
The samplesheet contains at least a "sampleID" column, the sampleID should match the subfolders in the input folder. The samplesheet may contain other columns, such as flowcell and index folder: such columns will be printed to the summary csv.

Create a WisecondorX reference

    fluffy --sample <samplesheet>  --project <input_folder> --out <output_folder> reference

samplesheet should contain atleast a "sampleID" column. All samples in the samplesheet will be used to construct the reference, visit the WisecondorX manual for more information.

# Install FluFFyPipe
FluFFyPipe requires python 3, slurm, slurmpy, and singularity, python-coloredlogs.

First clone fluffypipe:

`git clone https://github.com/Clinical-Genomics/fluffy`

Install fluffy using pip

cd fluffy

`pip install -e .`

Next download the FluFFyPipe singularity container

     singularity pull --name FluFFyPipe.sif shub://J35P312/FluFFyPipe

copy the example config (found in example_config), and edit the variables.
You will need to download/create the following files:

	Reference fasta (indexed using bwa)

	WisecondorX reference files (created using the reference mode)

	PREFACE model file (optional)

	blacklist bed file (used by wisecondorX)

	FluFFyPipe singularity collection (singularity pull --name FluFFyPipe.sif shub://J35P312/FluFFyPipe)


