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Connection

Michael Strong to Genome, Bacterial

This is a "connection" page, showing publications Michael Strong has written about Genome, Bacterial.

 
Connection Strength
 
 
 
4.003
 
  1. Glickman C, Kammlade SM, Hasan NA, Epperson LE, Davidson RM, Strong M. Characterization of integrated prophages within diverse species of clinical nontuberculous mycobacteria. Virol J. 2020 08 17; 17(1):124.
    View in: PubMed
    Score: 0.685
  2. Hasan NA, Epperson LE, Lawsin A, Rodger RR, Perkins KM, Halpin AL, Perry KA, Moulton-Meissner H, Diekema DJ, Crist MB, Perz JF, Salfinger M, Daley CL, Strong M. Genomic Analysis of Cardiac Surgery-Associated Mycobacterium chimaera Infections, United States. Emerg Infect Dis. 2019 03; 25(3):559-563.
    View in: PubMed
    Score: 0.619
  3. Datta G, Nieto LM, Davidson RM, Mehaffy C, Pederson C, Dobos KM, Strong M. Longitudinal whole genome analysis of pre and post drug treatment Mycobacterium tuberculosis isolates reveals progressive steps to drug resistance. Tuberculosis (Edinb). 2016 05; 98:50-5.
    View in: PubMed
    Score: 0.502
  4. Garcia BJ, Datta G, Davidson RM, Strong M. MycoBASE: expanding the functional annotation coverage of mycobacterial genomes. BMC Genomics. 2015 Dec 24; 16:1102.
    View in: PubMed
    Score: 0.496
  5. Davidson RM, Hasan NA, Reynolds PR, Totten S, Garcia B, Levin A, Ramamoorthy P, Heifets L, Daley CL, Strong M. Genome sequencing of Mycobacterium abscessus isolates from patients in the united states and comparisons to globally diverse clinical strains. J Clin Microbiol. 2014 Oct; 52(10):3573-82.
    View in: PubMed
    Score: 0.450
  6. Garcia B, Walter ND, Dolganov G, Coram M, Davis JL, Schoolnik GK, Strong M. A minimum variance method for genome-wide data-driven normalization of quantitative real-time polymerase chain reaction expression data. Anal Biochem. 2014 Aug 01; 458:11-3.
    View in: PubMed
    Score: 0.442
  7. Strong M, Graeber TG, Beeby M, Pellegrini M, Thompson MJ, Yeates TO, Eisenberg D. Visualization and interpretation of protein networks in Mycobacterium tuberculosis based on hierarchical clustering of genome-wide functional linkage maps. Nucleic Acids Res. 2003 Dec 15; 31(24):7099-109.
    View in: PubMed
    Score: 0.216
  8. Strong M, Mallick P, Pellegrini M, Thompson MJ, Eisenberg D. Inference of protein function and protein linkages in Mycobacterium tuberculosis based on prokaryotic genome organization: a combined computational approach. Genome Biol. 2003; 4(9):R59.
    View in: PubMed
    Score: 0.211
  9. Davidson RM, Benoit JB, Kammlade SM, Hasan NA, Epperson LE, Smith T, Vasireddy S, Brown-Elliott BA, Nick JA, Olivier KN, Zelazny AM, Daley CL, Strong M, Wallace RJ. Genomic characterization of sporadic isolates of the dominant clone of Mycobacterium abscessus subspecies massiliense. Sci Rep. 2021 07 28; 11(1):15336.
    View in: PubMed
    Score: 0.183
  10. Strong M, Sawaya MR, Wang S, Phillips M, Cascio D, Eisenberg D. Toward the structural genomics of complexes: crystal structure of a PE/PPE protein complex from Mycobacterium tuberculosis. Proc Natl Acad Sci U S A. 2006 May 23; 103(21):8060-5.
    View in: PubMed
    Score: 0.064
  11. Rachman H, Strong M, Ulrichs T, Grode L, Schuchhardt J, Mollenkopf H, Kosmiadi GA, Eisenberg D, Kaufmann SH. Unique transcriptome signature of Mycobacterium tuberculosis in pulmonary tuberculosis. Infect Immun. 2006 Feb; 74(2):1233-42.
    View in: PubMed
    Score: 0.062
  12. Ruis C, Bryant JM, Bell SC, Thomson R, Davidson RM, Hasan NA, van Ingen J, Strong M, Floto RA, Parkhill J. Dissemination of Mycobacterium abscessus via global transmission networks. Nat Microbiol. 2021 10; 6(10):1279-1288.
    View in: PubMed
    Score: 0.046
  13. Tettelin H, Davidson RM, Agrawal S, Aitken ML, Shallom S, Hasan NA, Strong M, de Moura VC, De Groote MA, Duarte RS, Hine E, Parankush S, Su Q, Daugherty SC, Fraser CM, Brown-Elliott BA, Wallace RJ, Holland SM, Sampaio EP, Olivier KN, Jackson M, Zelazny AM. High-level relatedness among Mycobacterium abscessus subsp. massiliense strains from widely separated outbreaks. Emerg Infect Dis. 2014 Mar; 20(3):364-71.
    View in: PubMed
    Score: 0.027
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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