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neofind

Discover and analyze neoantigens using RNA, Ribo, and WES/WGS sequence data.

Overview

neofind is a pipeline for discovering and analyzing neoantigens using RNA, Ribo, and WES/WGS sequence data.

It is recommended to use the docker or conda environment to run the pipeline.

Requirements

  1. Python 3.10+
  2. Python modules:
    • pandas
    • numpy
    • scipy
    • sklearn
    • matplotlib
    • seaborn
    • pysam
  3. minimap2
  4. samtools
  5. bedtools

neofind modules

The main module of neofind, which includes the following sub-modules:

  • gene
  • count

neofind gene

Usage

neofind gene -i ../input/{}/pass.fq.gz -r ../reference/fasta/genome.fa -o ./{}_gene.sam --parms '--secondary=no --cs -a --sam-hit-only'

Docker

If the user has docker installed, the following command can be used to run the pipeline in a docker container:

docker run -v /path/to/data:/data -it neofind/neofind:latest /bin/bash

Conda Environment

If the user has conda installed, the following command can be used to create a conda environment for neofind:

  1. Install conda
  2. Create a new conda environment: conda create -n neofind python=3.12
  3. Activate the environment: conda activate neofind
  4. Install the required packages: conda install -c bioconda minimap2 samtools bedtools
  5. Install the required python packages: pip install pandas numpy scipy sklearn matplotlib seaborn pysam
  6. Clone the neofind repository: git clone https://github.com/LegendZDY/neofind.git

Cite neofind

If you use neofind in your research, please cite the following paper:

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