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achievement-tree-data/index.html

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 <p><a href="https://doi.org/10.1093/molbev/msab166"><img src="/images/ggtree/ggtreeExtra-2021.png" width='1000px'/></a></p>
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-<p>Two general methods have been proposed and implemented, covering all aspects of the integration and visualization of phylogenetic data. The first method allows data to be mapped to the topology of the tree and supports the direct display of data or its mapping as visualization features; the second method reorganizes external data according to the tree topology, visualizes it in the manner specified by the user, and finally aligns the visualization result with the phylogenetic tree. These two general methods allow various heterogeneous data from different disciplines to be deciphered in the context of phylogenetics, which can contribute to the discovery of new patterns related or the proposal of new hypotheses. This work was published in <a href="https://academic.oup.com/mbe/article/35/12/3041/5142656"  class="external-link" target="_blank" rel="noopener"><em>Molecular Biology and Evolution in 2018</em></a> (ESI highly cited). Based on this, the <a href="https://www.bioconductor.org/packages/ggtreeExtra"  class="external-link" target="_blank" rel="noopener">ggtreeExtra</a> package was developed to enhance the integration and visualization capabilities for richly annotated data and was published in <a href="https://doi.org/10.1093/molbev/msab166"  class="external-link" target="_blank" rel="noopener"><em>Molecular Biology and Evolution in 2021</em></a>.</p>
+<p>Two general methods have been proposed and implemented, covering all aspects of the integration and visualization of phylogenetic data. The first method allows data to be mapped to the topology of the tree and supports the direct display of data or its mapping as visualization features; the second method reorganizes external data according to the tree topology, visualizes it in the manner specified by the user, and finally aligns the visualization result with the phylogenetic tree. These two general methods allow various heterogeneous data from different disciplines to be deciphered in the context of phylogenetics, which can contribute to the discovery of new patterns related or the proposal of new hypotheses. This work was published in <a href="https://academic.oup.com/mbe/article/35/12/3041/5142656"  class="external-link" target="_blank" rel="noopener"><em>Molecular Biology and Evolution 2018</em></a> (ESI highly cited). Based on this, the <a href="https://www.bioconductor.org/packages/ggtreeExtra"  class="external-link" target="_blank" rel="noopener">ggtreeExtra</a> package was developed to enhance the integration and visualization capabilities for richly annotated data and was published in <a href="https://doi.org/10.1093/molbev/msab166"  class="external-link" target="_blank" rel="noopener"><em>Molecular Biology and Evolution 2021</em></a>.</p>
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