Connection

Alexander Alekseyenko to Phylogeny

This is a "connection" page, showing publications Alexander Alekseyenko has written about Phylogeny.
Connection Strength

1.256
  1. Phylogenic inference using alignment-free methods for applications in microbial community surveys using 16s rRNA gene. PLoS One. 2017; 12(11):e0187940.
    View in: PubMed
    Score: 0.556
  2. Improving the accuracy of demographic and molecular clock model comparison while accommodating phylogenetic uncertainty. Mol Biol Evol. 2012 Sep; 29(9):2157-67.
    View in: PubMed
    Score: 0.375
  3. Phylogenetic analysis of glucosyltransferases and implications for the coevolution of mutans streptococci with their mammalian hosts. PLoS One. 2013; 8(2):e56305.
    View in: PubMed
    Score: 0.100
  4. PhyloChip microarray analysis reveals altered gastrointestinal microbial communities in a rat model of colonic hypersensitivity. Neurogastroenterol Motil. 2011 Feb; 23(2):169-77, e41-2.
    View in: PubMed
    Score: 0.086
  5. A phylogenetic approach for weighting genetic sequences. BMC Bioinformatics. 2021 May 28; 22(1):285.
    View in: PubMed
    Score: 0.044
  6. Comparative genomics of oral isolates of Streptococcus mutans by in silico genome subtraction does not reveal accessory DNA associated with severe early childhood caries. Infect Genet Evol. 2014 Jan; 21:269-78.
    View in: PubMed
    Score: 0.026
  7. The nonfermentable dietary fiber hydroxypropyl methylcellulose modulates intestinal microbiota. FASEB J. 2013 Feb; 27(2):692-702.
    View in: PubMed
    Score: 0.025
  8. Visualization and statistical comparisons of microbial communities using R packages on Phylochip data. Pac Symp Biocomput. 2011; 142-53.
    View in: PubMed
    Score: 0.022
  9. Testing spatiotemporal hypothesis of bacterial evolution using methicillin-resistant Staphylococcus aureus ST239 genome-wide data within a bayesian framework. Mol Biol Evol. 2011 May; 28(5):1593-603.
    View in: PubMed
    Score: 0.021
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.