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Third-generation fusion gene detection

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NanoFG

NanoFG integrates existing genomic tools and additonal code to provide an easy-to-use pipeline for the detection of fusion genes from Nanopore sequencing data

INSTALL

git clone https://github.com/SdeBlank/NanoFG.git NanoFG
cd NanoFG

virtualenv venv -p python3
. venv/bin/activate
pip install -r requirements.txt

Adjust all paths in the paths.ini file to installed tools

How to run

bash NanoFG.sh -f </path/to/fastqdir> [-n SAMPLE_NAME ] [-s SELECTION] [-cf] [-cc] [-df] [-dc]

OR

bash NanoFG.sh -b </path/to/bam> [-v </path/to/vcf>] [-n SAMPLE_NAME ] [-s SELECTION] [-cf] [-cc] [-df] [-dc]

For more information, see the wiki:
https://github.com/SdeBlank/NanoFG/wiki

Citation

Please see and cite: https://www.nature.com/articles/s41467-020-16641-7

Additionally, NanoFG integrates different existing tools:

Li, H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).

Li, H. (2018). Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics, 34:3094-3100.

Kielbasa, S. M., Wan, R., Sato, K., Horton, P. & Frith, M. C. Adaptive seeds tame genomic sequence comparison. Genome Research 21, 487–493 (2011).

Cretu Stancu, M. et al. Mapping and phasing of structural variation in patient genomes using nanopore sequencing. Nat. Commun. 8, 1326 (2017).

Ruan, J. and Li, H. (2019) Fast and accurate long-read assembly with wtdbg2. Nat Methods

Untergasser, A. et al. Primer3–new capabilities and interfaces. Nucleic Acids Res. 40, e115 (2012).

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  • Python 72.6%
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