Agalma: an automated phylogenomics workflow

@article{Dunn2013AgalmaAA,
  title={Agalma: an automated phylogenomics workflow},
  author={C. Dunn and Mark Howison and F. Zapata},
  journal={BMC Bioinformatics},
  year={2013},
  volume={14},
  pages={330 - 330}
}
  • C. Dunn, Mark Howison, F. Zapata
  • Published 2013
  • Computer Science, Biology, Medicine
  • BMC Bioinformatics
    • BackgroundIn the past decade, transcriptome data have become an important component of many phylogenetic studies. They are a cost-effective source of protein-coding gene sequences, and have helped projects grow from a few genes to hundreds or thousands of genes. Phylogenetic studies now regularly include genes from newly sequenced transcriptomes, as well as publicly available transcriptomes and genomes. Implementing such a phylogenomic study, however, is computationally intensive, requires the… CONTINUE READING
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