SeqVis: Visualization of compositional heterogeneity in large alignments of nucleotides

@article{Ho2006SeqVisVO,
  title={SeqVis: Visualization of compositional heterogeneity in large alignments of nucleotides},
  author={Joshua Wing Kei Ho and Cameron E. Adams and Jie Bin Lew and Timothy J. Matthews and Chiu Chin Ng and Arash Shahabi-Sirjani and Leng Hong Tan and Yu Zhao and Simon Easteal and Susan R. Wilson and Lars S. Jermiin},
  journal={Bioinformatics},
  year={2006},
  volume={22 17},
  pages={2162-3}
}
UNLABELLED Most phylogenetic methods assume that the sequences evolved under homogeneous, stationary and reversible conditions. Compositional heterogeneity in data intended for studies of phylogeny suggests that the data did not evolve under these conditions. SeqVis, a Java application for analysis of nucleotide content, reads sequence alignments in several formats and plots the nucleotide content in a tetrahedron. Once plotted, outliers can be identified, thus allowing for decisions on the… CONTINUE READING

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