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An-Introduction-To-Applied-Bioinformatics: IAB: content changes made simple, and new URLs!

Authors: Greg Caporaso; Anders Pitman; Jai Ram Rideout; John Chase; iab-reader1; Niels Olson; The Gitter Badger; +3 Authors

An-Introduction-To-Applied-Bioinformatics: IAB: content changes made simple, and new URLs!

Abstract

We're excited to announce the 0.1.1 release of An Introduction to Applied Bioinformatics. This release includes a lot of project structural changes, resulting in large part from work during the Mozilla Science Lab Global Sprint 2015. The most significant of these changes is that we've made it vastly easier for you to submit and for us to review content changes. To achieve this, all of the content in IAB is now written in markdown and converted to IPython Notebooks using ipymd. This makes it vastly easier to review content changes from readers, so we can integrate your suggestions faster. This was previously a major bottleneck which often resulted in hard-to-resolve merge conflicts. It also makes it much easier to submit small content changes, such as typo fixes or wording changes. Submitting changes now requires no command line interaction - it's possible to do all of this from your web browser. Watch a five-minute video on how this works here. We've updated CONTRIBUTING.md to describe the process. Finally, we're now hosting our static notebooks on S3 rather than on nbviewer, which means nicer URLs. For example, this: http://nbviewer.ipython.org/github/gregcaporaso/An-Introduction-To-Applied-Bioinformatics/blob/0.1.0/fundamentals/sequence-mapping-and-clustering.ipynb is now this: http://readiab.org/book/latest/2/5 Starting with this release, you can always view the most recent static version of IAB here, and you can download the latest notebooks from here. A more detailed description of the changes is available in the project CHANGELOG.md, and you can get an idea of where the project is heading by reviewing the project milestones.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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