Phylogentic analysis is becoming an increasingly important tool for customized drug treatments, epidemiological studies, and evolutionary analysis. The TCS method provides an important tool for dealing with genes at a population level. Existing software for TCS analysis takes an unreasonable amount of time for the analysis of significant numbers of Taxa. This paper presents the TCS algorithms and describes initial attempts at parallelization. Performance results are also presented for the algorithm on several data sets.
Matthew K. Horton, Patrick Huck, Ruoxi Yang, Jason M. Munro, Shyam Dwaraknath, Alex M. Ganose, Ryan Kingsbury, Mingjian Wen, Jianxin Shen, Tyler S. Mathis, Aaron D. Kaplan, Karlo Berket, Janosh Riebesell, Janine George, Andrew Rosen, Evan Walter Clark Spotte‐Smith, Matthew J. McDermott, Orion A. Cohen, Alexander Dunn, Matthew C. Kuner, Gian‐Marco Rignanese, Guido Petretto, David Waroquiers, Sinéad M. Griffin, Jeffrey B. Neaton, D. C. Chrzan, Mark Asta, Geoffroy Hautier, Shreyas Cholia, Gerbrand Ceder, Shyue Ping Ong, Anubhav Jain, Kristin A. Persson
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