This article is originally published at https://blog.plotly.com/

Bioinfo-what?! At Plotly, we’re proud of our diverse and talented user base. In this post, we show off the work of our bioinformaticians.

In case you didn’t know:
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data.

Source: UCONN

Plotly happens to serve a large bioinformatics and biostats research community. These users leverage the uniquely interactive features of plotly charts for dendrograms, heatmaps, volcano plots, and other visualizations common in this field.

In this post, we show off 7 resources in Python and R created by Plotly bioinformatics and biostats researchers by way of a Spectacle Editor presentation. You can make a similar presentation with your Plotly graphs.

Presentation

1. Jupyter notebook: Visualizing bioinformatics data with plotly and python

2. Zoom & hover in volcano plots

3. Interactive dendrograms in R & Python

4. Toggle lines and distributions with the legend

5. Take it to the 3rd dimension

6. Interactive Manhattan Plots

7. Gene Expression Heatmaps

Plotly is built by computational scientists with degrees and research expertise from McGill, Harvard, Stanford, and other world-class institutions. Making no-compromise open-source software for scientific visualization is our full-time job and passion. Want to support our work? Consider purchasing a Pro plan. For less than half the cost of a Tableau license, you’ll get support from our engineering staff and time-saving ways to save and share your work with colleagues, advisors, or managers.

Pro Plans for University students and instructors ($59/year)

Pro Plans for industry users ($396/year)

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This article is originally published at https://blog.plotly.com/
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