A video screencast of the Phinch data visualization framework is now available on Vimeo! This narrated walkthrough explains how to prepare files and upload data, and gives a tour of the visualization features currently available (including the ability to export images, share data with collaborators, and download log files).
Phinch data visualization framework – screencast and live demo from Holly Bik on Vimeo.
We’ve also been working hard to expand the GitHub wiki for Phinch (https://github.com/shujianbu/Phinch/wiki) – here you can find screenshots and suggested uses of each visualization, specific instructions on metadata formatting, and full details of our code implementation (libraries used, how to carry out a local installation). Let us know if there’s anything else you’d like to see included in this wiki – and as always, please feel free to report any bugs or feature requests on our GitHub issue tracker.
Our code repository on Github is now public! View it here: https://github.com/shujianbu/Phinch
Users can now fork the repo, or post issues: https://github.com/shujianbu/Phinch/issues We’ll be tracking all these issues, fixing bugs, and closing tickets. For users that want to push features or fix code, submit a pull request, and we will approve changes after review. In the next few days we’ll also be putting up extensive documentation and tutorials on our Github wiki.
We will soon release an archived, stable code package (beta v1.0) with a citable DOI, via the Zenodo project. In the meantime, please cite the Phinch framework as follows:
Bik, H.M., Bu, S., Grubbs, W. (manuscript in preparation) Phinch: An interactive, exploratory data visualization framework for environmental sequence data https://github.com/shujianbu/Phinch