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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Evan Brenner and Janani Ravi.

 
Connection Strength
 
 
 
3.001
 
  1. Brenner E, Vang C, Johnson C, Ravi J. Genotype-phenotype modeling of light ecotypes in Prochlorococcus reveals genomic signatures of ecotypic divergence. bioRxiv. 2026 Apr 22.
    View in: PubMed
    Score: 0.978
  2. Brenner EP, Vang CK, Ghosh A, Ravi J. Map is not territory: building useful antimicrobial resistance models. Trends Microbiol. 2026 May; 34(5):456-457.
    View in: PubMed
    Score: 0.975
  3. Ghosh A, Brenner EP, Boyer EA, McKim AP, Vang CK, Wolfe EP, Mayer D, Lesiyon RL, Ravi J. amR: an R package suite to predict antimicrobial resistance in bacterial pathogens. bioRxiv. 2026 Jul 13.
    View in: PubMed
    Score: 0.248
  4. Ghosh A, Brenner EP, Vang CK, Wolfe EP, Boyer EA, Lesiyon RL, Manpearl KR, Sridhar V, Burke JT, Krol JD, Bilodeaux JM, Ravi J. From sequence to signature: Machine learning uncovers multiscale feature landscapes that predict AMR across ESKAPE pathogens. bioRxiv. 2025 Oct 20.
    View in: PubMed
    Score: 0.236
  5. Ghosh A, Vang CK, Brenner EP, Ravi J. Unlocking antimicrobial resistance with multiomics and machine learning. Trends Microbiol. 2025 Oct; 33(10):1048-1051.
    View in: PubMed
    Score: 0.230
  6. Ravi J, Anantharaman V, Chen SZ, Brenner EP, Datta P, Aravind L, Gennaro ML. The phage shock protein (PSP) envelope stress response: discovery of novel partners and evolutionary history. mSystems. 2024 06 18; 9(6):e0084723.
    View in: PubMed
    Score: 0.214
  7. Penaranda C, Brenner EP, Clatworthy AE, Cosimi LA, Ravi J, Hung DT. Genomic comparison and phenotypic characterization of Pseudomonas aeruginosa isolates across environmental and diverse clinical isolation sites. mSystems. 2026 Mar 24; 11(3):e0136225.
    View in: PubMed
    Score: 0.060
  8. Penaranda C, Brenner EP, Clatworthy AE, Cosimi LA, Ravi J, Hung DT. Mapping genetic and phenotypic diversity of Pseudomonas aeruginosa across clinical and environmental isolation sites. bioRxiv. 2025 Sep 22.
    View in: PubMed
    Score: 0.059
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.

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