Papers: 10.1186/s12859-020-3434-9
https://doi.org/10.1186/s12859-020-3434-9
SEQing: web-based visualization of iCLIP and RNA-seq data in an interactive python framework
Cited by: 7
Author(s): Martin Lewinski, Yannik Bramkamp, Tino Köster, Dorothee Staiger
Published: over 5 years ago
Software Mentions 6
Very Likely Science (100)
bioconductor: Gviz
Plotting data and annotation information along genomic coordinatesPapers that mentioned: 134
Very Likely Science (100)
Very Likely Science (100)
pypi: linux
Papers that mentioned: 450
Very Likely Science (65)
pypi: plotly
An open-source, interactive data visualization library for PythonPapers that mentioned: 163
Very Likely Science (90)
Very Likely Science (65)