PyOncoPrint: a python package for plotting OncoPrints

OncoPrint, the plot to visualize an overview of genetic variants in sequencing data, has been widely used in the field of cancer genomics. However, still, there have been no Python libraries capable to generate OncoPrint yet, a big hassle to plot OncoPrints within Python-based genetic variants analy...

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Detalles Bibliográficos
Autores principales: Park, Jeongbin, Paramasivam, Nagarajan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2023
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085746/
https://www.ncbi.nlm.nih.gov/pubmed/37037472
http://dx.doi.org/10.5808/gi.22079
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author Park, Jeongbin
Paramasivam, Nagarajan
author_facet Park, Jeongbin
Paramasivam, Nagarajan
author_sort Park, Jeongbin
collection PubMed
description OncoPrint, the plot to visualize an overview of genetic variants in sequencing data, has been widely used in the field of cancer genomics. However, still, there have been no Python libraries capable to generate OncoPrint yet, a big hassle to plot OncoPrints within Python-based genetic variants analysis pipelines. This paper introduces a new Python package PyOncoPrint, which can be easily used to plot OncoPrints in Python. The package is based on the existing widely used scientific plotting library Matplotlib, the resulting plots are easy to be adjusted for various needs.
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spelling pubmed-100857462023-04-12 PyOncoPrint: a python package for plotting OncoPrints Park, Jeongbin Paramasivam, Nagarajan Genomics Inform Application Note OncoPrint, the plot to visualize an overview of genetic variants in sequencing data, has been widely used in the field of cancer genomics. However, still, there have been no Python libraries capable to generate OncoPrint yet, a big hassle to plot OncoPrints within Python-based genetic variants analysis pipelines. This paper introduces a new Python package PyOncoPrint, which can be easily used to plot OncoPrints in Python. The package is based on the existing widely used scientific plotting library Matplotlib, the resulting plots are easy to be adjusted for various needs. Korea Genome Organization 2023-03-31 /pmc/articles/PMC10085746/ /pubmed/37037472 http://dx.doi.org/10.5808/gi.22079 Text en (c) 2023, Korea Genome Organization https://creativecommons.org/licenses/by/4.0/(CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Park, Jeongbin
Paramasivam, Nagarajan
PyOncoPrint: a python package for plotting OncoPrints
title PyOncoPrint: a python package for plotting OncoPrints
title_full PyOncoPrint: a python package for plotting OncoPrints
title_fullStr PyOncoPrint: a python package for plotting OncoPrints
title_full_unstemmed PyOncoPrint: a python package for plotting OncoPrints
title_short PyOncoPrint: a python package for plotting OncoPrints
title_sort pyoncoprint: a python package for plotting oncoprints
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085746/
https://www.ncbi.nlm.nih.gov/pubmed/37037472
http://dx.doi.org/10.5808/gi.22079
work_keys_str_mv AT parkjeongbin pyoncoprintapythonpackageforplottingoncoprints
AT paramasivamnagarajan pyoncoprintapythonpackageforplottingoncoprints

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