Python library to visualize circular plasmid maps

Overview

Plasmidviewer

Plasmidviewer is a Python library to visualize plasmid maps from GenBank. This library provides only the function to visualize circular plasmids and doesn't provide functions to edit nucleotides and sequence features. If you want to do such operations, please use QUEEN, which I have recently developed. (In fact, this library is implemented based on the visualization function of QUEEN)

Installation

You can install this library using the following single command:
pip install git+https://github.com/ponnhide/plasmidviewer.git

Example code

= 0: facecolors.append("#FFDFDF") edgecolors.append("#EE0000") labelcolors.append("#DD0000") elif feat.type == "CDS" and feat.strand == -1: facecolors.append("#DFDFFF") edgecolors.append("#0000EE") labelcolors.append("#0000DD") else: edgecolors.append(None) labelcolors.append(None) facecolors.append(None) fig, ax = pv.visualize(record, feature_list=feats, title="lentiCas9-EGFP") fig.savefig("test1.pdf") fig, ax = pv.visualize(record, feature_list=feats, edgecolor=edgecolors, title="lentiCas9-EGFP") fig.savefig("test2.pdf") fig, ax = pv.visualize(record, feature_list=feats, facecolor=facecolors, edgecolor=edgecolors, labelcolor=labelcolors, title="lentiCas9-EGFP", inner_diameter=500, tick_interval=1000) fig.savefig("test3.pdf") ">
    import plasmidviewer as pv
    from Bio import SeqIO
    record = SeqIO.read("../example_data/addgene-plasmid-63592-sequence-334654.gbk", format="genbank") 
    feats  = []
    facecolors  = []
    edgecolors  = []
    labelcolors = [] 
    for feat in record.features:
        if feat.type == "source" or feat.type == "primer_bind":
            pass 
        else:
            feats.append(feat)  
            if feat.type == "CDS" and feat.strand >= 0:
                facecolors.append("#FFDFDF")
                edgecolors.append("#EE0000") 
                labelcolors.append("#DD0000") 

            elif feat.type == "CDS" and feat.strand == -1:
                facecolors.append("#DFDFFF")
                edgecolors.append("#0000EE") 
                labelcolors.append("#0000DD") 
            else:
                edgecolors.append(None)
                labelcolors.append(None)
                facecolors.append(None)

    fig, ax = pv.visualize(record, feature_list=feats, title="lentiCas9-EGFP")
    fig.savefig("test1.pdf")
    
    fig, ax = pv.visualize(record, feature_list=feats, edgecolor=edgecolors, title="lentiCas9-EGFP")
    fig.savefig("test2.pdf") 
    
    fig, ax = pv.visualize(record, feature_list=feats, facecolor=facecolors, edgecolor=edgecolors, labelcolor=labelcolors, title="lentiCas9-EGFP", inner_diameter=500, tick_interval=1000)
    fig.savefig("test3.pdf") 

Example images

Owner
Mori Hideto
Mori Hideto
A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.

r.sim.terrain A short-term landscape evolution model that simulates topographic change for both steady state and dynamic flow regimes across a range o

Brendan Harmon 7 Oct 21, 2022
Bacon - Band-limited Coordinate Networks for Multiscale Scene Representation

BACON: Band-limited Coordinate Networks for Multiscale Scene Representation Project Page | Video | Paper Official PyTorch implementation of BACON. BAC

Stanford Computational Imaging Lab 144 Dec 29, 2022
Implemented a Google Maps prototype that provides the shortest route in terms of distance

Implemented a Google Maps prototype that provides the shortest route in terms of distance, the fastest route, the route with the fewest turns, and a scenic route that avoids roads when provided a sou

1 Dec 26, 2021
A utility to search, download and process Landsat 8 satellite imagery

Landsat-util Landsat-util is a command line utility that makes it easy to search, download, and process Landsat imagery. Docs For full documentation v

Development Seed 681 Dec 07, 2022
Get Landsat surface reflectance time-series from google earth engine

geextract Google Earth Engine data extraction tool. Quickly obtain Landsat multispectral time-series for exploratory analysis and algorithm testing On

Loïc Dutrieux 50 Dec 15, 2022
A Django application that provides country choices for use with forms, flag icons static files, and a country field for models.

Django Countries A Django application that provides country choices for use with forms, flag icons static files, and a country field for models. Insta

Chris Beaven 1.2k Jan 03, 2023
WebGL2 powered geospatial visualization layers

deck.gl | Website WebGL2-powered, highly performant large-scale data visualization deck.gl is designed to simplify high-performance, WebGL-based visua

Vis.gl 10.5k Jan 08, 2023
Rasterio reads and writes geospatial raster datasets

Rasterio Rasterio reads and writes geospatial raster data. Geographic information systems use GeoTIFF and other formats to organize and store gridded,

Mapbox 1.9k Jan 07, 2023
Platform for building statistical models of cities and regions

UrbanSim UrbanSim is a platform for building statistical models of cities and regions. These models help forecast long-range patterns in real estate d

Urban Data Science Toolkit 419 Dec 30, 2022
Geocoding library for Python.

geopy geopy is a Python client for several popular geocoding web services. geopy makes it easy for Python developers to locate the coordinates of addr

geopy 3.8k Dec 30, 2022
Search and download Copernicus Sentinel satellite images

sentinelsat Sentinelsat makes searching, downloading and retrieving the metadata of Sentinel satellite images from the Copernicus Open Access Hub easy

837 Dec 28, 2022
Use Mapbox GL JS to visualize data in a Python Jupyter notebook

Location Data Visualization library for Jupyter Notebooks Library documentation at https://mapbox-mapboxgl-jupyter.readthedocs-hosted.com/en/latest/.

Mapbox 620 Dec 15, 2022
Python script that can be used to generate latitude/longitude coordinates for GOES-16 full-disk extent.

goes-latlon Python script that can be used to generate latitude/longitude coordinates for GOES-16 full-disk extent. 🌎 🛰️ The grid files can be acces

Douglas Uba 3 Apr 06, 2022
Map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot.

Ookla Server KDE Plotting This notebook was created to map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot. Currently,

Jonathan Lo 1 Feb 12, 2022
Cloud Optimized GeoTIFF creation and validation plugin for rasterio

rio-cogeo Cloud Optimized GeoTIFF (COG) creation and validation plugin for Rasterio. Documentation: https://cogeotiff.github.io/rio-cogeo/ Source Code

216 Dec 31, 2022
peartree: A library for converting transit data into a directed graph for sketch network analysis.

peartree 🍐 🌳 peartree is a library for converting GTFS feed schedules into a representative directed network graph. The tool uses Partridge to conve

Kuan Butts 183 Dec 29, 2022
A Python package for delineating nested surface depressions from digital elevation data.

Welcome to the lidar package lidar is Python package for delineating the nested hierarchy of surface depressions in digital elevation models (DEMs). I

Qiusheng Wu 166 Jan 03, 2023
A modern, geometric typeface by @chrismsimpson (last commit @ 85fa625 Jun 9, 2020 before deletion)

Metropolis A modern, geometric typeface. Influenced by other popular geometric, minimalist sans-serif typefaces of the new millenium. Designed for opt

Darius 183 Dec 25, 2022
Imperial Valley Geomorphology Map

Roughly maps the extent of basins, basin edges, and mountains in the Imperial Valley by grouping terrain classes from the Iwahashi et al. 2021 California terrian classification model.

0 Dec 13, 2022
A multi-page streamlit app for the geospatial community.

A multi-page streamlit app for the geospatial community.

Qiusheng Wu 522 Dec 30, 2022