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ShinyDiversity - Understanding Alpha and Beta Diversity through Interactive Visualizations [version 1; peer review: 1 approved, 1 approved with reservations]
In the past few decades, ecologists have developed many diversity indices to describe within and between sample diversity. Consequently, it can be difficult to determine which index to choose and how the distribution of microbial communities affect these indices. We've developed an interactive...
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Published in: | F1000 research 2018, Vol.7, p.479 |
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Language: | English |
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container_title | F1000 research |
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creator | Leung, Eric T Noronha, Roshan Mirza, Ali Shenwai, Reva Mpatziakas, Asterios |
description | In the past few decades, ecologists have developed many diversity indices to describe within and between sample diversity. Consequently, it can be difficult to determine which index to choose and how the distribution of microbial communities affect these indices. We've developed an interactive application,
ShinyDiversity, that dynamically visualizes different alpha or beta diversity indices. In enabling users to select and simultaneously visualize different indices, our application aims to facilitate understanding of how the microbial data affects selected indices. |
doi_str_mv | 10.12688/f1000research.14217.1 |
format | article |
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title | ShinyDiversity - Understanding Alpha and Beta Diversity through Interactive Visualizations [version 1; peer review: 1 approved, 1 approved with reservations] |
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