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Connection

Paul Norman to Genome, Human

This is a "connection" page, showing publications Paul Norman has written about Genome, Human.

 
Connection Strength
 
 
 
0.676
 
  1. Norman PJ, Norberg SJ, Nemat-Gorgani N, Royce T, Hollenbach JA, Shults Won M, Guethlein LA, Gunderson KL, Ronaghi M, Parham P. Very long haplotype tracts characterized at high resolution from HLA homozygous cell lines. Immunogenetics. 2015 Sep; 67(9):479-85.
    View in: PubMed
    Score: 0.409
  2. Norman PJ, Norberg SJ, Guethlein LA, Nemat-Gorgani N, Royce T, Wroblewski EE, Dunn T, Mann T, Alicata C, Hollenbach JA, Chang W, Shults Won M, Gunderson KL, Abi-Rached L, Ronaghi M, Parham P. Sequences of 95 human MHC haplotypes reveal extreme coding variation in genes other than highly polymorphic HLA class I and II. Genome Res. 2017 05; 27(5):813-823.
    View in: PubMed
    Score: 0.115
  3. Norman PJ, Hollenbach JA, Nemat-Gorgani N, Marin WM, Norberg SJ, Ashouri E, Jayaraman J, Wroblewski EE, Trowsdale J, Rajalingam R, Oksenberg JR, Chiaroni J, Guethlein LA, Traherne JA, Ronaghi M, Parham P. Defining KIR and HLA Class I Genotypes at Highest Resolution via High-Throughput Sequencing. Am J Hum Genet. 2016 Aug 04; 99(2):375-91.
    View in: PubMed
    Score: 0.110
  4. Kidd JM, Sharpton TJ, Bobo D, Norman PJ, Martin AR, Carpenter ML, Sikora M, Gignoux CR, Nemat-Gorgani N, Adams A, Guadalupe M, Guo X, Feng Q, Li Y, Liu X, Parham P, Hoal EG, Feldman MW, Pollard KS, Wall JD, Bustamante CD, Henn BM. Exome capture from saliva produces high quality genomic and metagenomic data. BMC Genomics. 2014 Apr 04; 15:262.
    View in: PubMed
    Score: 0.023
  5. Henn BM, Gignoux CR, Jobin M, Granka JM, Macpherson JM, Kidd JM, Rodr?guez-Botigu? L, Ramachandran S, Hon L, Brisbin A, Lin AA, Underhill PA, Comas D, Kidd KK, Norman PJ, Parham P, Bustamante CD, Mountain JL, Feldman MW. Hunter-gatherer genomic diversity suggests a southern African origin for modern humans. Proc Natl Acad Sci U S A. 2011 Mar 29; 108(13):5154-62.
    View in: PubMed
    Score: 0.019
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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