igv-jupyter
ipyigv
igv-jupyter | ipyigv | |
---|---|---|
1 | 1 | |
154 | 26 | |
0.0% | - | |
1.8 | 10.0 | |
over 1 year ago | about 3 years ago | |
JavaScript | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
igv-jupyter
-
Bam viewer with custom fasta reference that's embeddable in Streamlit app?
igv-notebook and igv-jupyter seem amazing but (unsurprisingly) I could not get them to run anywhere that wasn't a jupyter notebook. I get a kernel error as it tries to initialize itself within streamlit, and I'm not sure how to embed it anywhere else.
ipyigv
-
Bam viewer with custom fasta reference that's embeddable in Streamlit app?
ipyigv is the lower level version of these. I found no documentation on how it's supposed to be used, but I'll try to get it to work as a last option, maybe raising a new webserver\docker container and supplying the files to it.
What are some alternatives?
configurable-http-proxy - node-http-proxy plus a REST API
tinycov - Command line tool to plot genomic coverage from a BAM file
pybamview - Browser based application for viewing bam alignments
igv-notebook - Module for embedding igv.js in an IPython notebook
dash-bio - Open-source bioinformatics components for Dash
kuwala - Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
ipyleaflet - A Jupyter - Leaflet.js bridge