 Connection
M Cave to Bacterial Proteins
This is a "connection" page, showing publications M Cave has written about Bacterial Proteins.
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Connection Strength |
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0.108 |
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Hellyer TJ, DesJardin LE, Hehman GL, Cave MD, Eisenach KD. Quantitative analysis of mRNA as a marker for viability of Mycobacterium tuberculosis. J Clin Microbiol. 1999 Feb; 37(2):290-5.
Score: 0.031
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Sreevatsan S, Escalante P, Pan X, Gillies DA, Siddiqui S, Khalaf CN, Kreiswirth BN, Bifani P, Adams LG, Ficht T, Perumaalla VS, Cave MD, van Embden JD, Musser JM. Identification of a polymorphic nucleotide in oxyR specific for Mycobacterium bovis. J Clin Microbiol. 1996 Aug; 34(8):2007-10.
Score: 0.026
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Kong Y, Cave MD, Zhang L, Foxman B, Marrs CF, Bates JH, Yang ZH. Association between Mycobacterium tuberculosis Beijing/W lineage strain infection and extrathoracic tuberculosis: Insights from epidemiologic and clinical characterization of the three principal genetic groups of M. tuberculosis clinical isolates. J Clin Microbiol. 2007 Feb; 45(2):409-14.
Score: 0.013
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Kong Y, Cave MD, Yang D, Zhang L, Marrs CF, Foxman B, Bates JH, Wilson F, Mukasa LN, Yang ZH. Distribution of insertion- and deletion-associated genetic polymorphisms among four Mycobacterium tuberculosis phospholipase C genes and associations with extrathoracic tuberculosis: a population-based study. J Clin Microbiol. 2005 Dec; 43(12):6048-53.
Score: 0.012
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Ramaswamy SV, Dou SJ, Rendon A, Yang Z, Cave MD, Graviss EA. Genotypic analysis of multidrug-resistant Mycobacterium tuberculosis isolates from Monterrey, Mexico. J Med Microbiol. 2004 Feb; 53(Pt 2):107-113.
Score: 0.011
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Hellyer TJ, DesJardin LE, Teixeira L, Perkins MD, Cave MD, Eisenach KD. Detection of viable Mycobacterium tuberculosis by reverse transcriptase-strand displacement amplification of mRNA. J Clin Microbiol. 1999 Mar; 37(3):518-23.
Score: 0.008
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Beggs ML, Cave MD, Eisenach KD. Isolation and sequence of a Mycobacterium tuberculosis sigma factor. Gene. 1996 Oct 03; 174(2):285-7.
Score: 0.007
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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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