{"repo":"ShujiaHuang/geneview","free":true,"listed":false,"github":"https://github.com/ShujiaHuang/geneview","clone":"git clone https://github.com/ShujiaHuang/geneview.git","description":"Genomics data visualization in Python by using matplotlib.","language":"Python","stars":72,"topics":["genomics-data-visualization","matplotlib","python","data-visualization","bioinformatics","bioinformatics-tool","visualization","plotting"],"license":"MIT","category":"cli-tools","readme_excerpt":"geneview: A python package for visualizing genomics data geneview is a toolkit for making attractive and informative genomics graphics, available as both a Python library and a command-line tool . It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures. And now it is actively developed. geneview provides two ways to use: - Python library — Import geneview in your scripts for full programmatic control over genomics figures. - Command-line tool — Run geneview directly from the terminal to create publication-quality plots without writing any Python code. Some of the features that geneview offers are: - Manhattan plot — GWAS association results with significance thresholds, top-SNP annotation, and chromosome zoom. - Q-Q plot — Quantile-quantile plots for P-value distributions with genomic inflation factor (λ). - Admixture plot — Population structure visualization from ADMIXTURE output (.Q files) with hierarchical clustering. - Venn diagram — Set intersection diagrams for 2–6 datasets with customizable petal labels and colors. - Karyotype plot — Cytogenetic band visualization with G-banding color schemes. - Genome Tracks — Gviz-style track browser with IdeogramTrack (chromosome ideogram), AnnotationTrack, GeneRegionTrack (four drawing styles — UCSC with backbone/stepped polygons, flybase, tssarrow, exonarrows — plus strand coloring, intron chevron arrows, and left-positioned labels), DataTrack (line/hist","default_branch":null,"files":null,"tree":[],"storefront":"/r/ShujiaHuang","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ShujiaHuang/geneview/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}