Connection

JAMES LUPSKI to Computational Biology

This is a "connection" page, showing publications JAMES LUPSKI has written about Computational Biology.
Connection Strength

0.688
  1. Clan genomics: From OMIM phenotypic traits to genes and biology. Am J Med Genet A. 2021 11; 185(11):3294-3313.
    View in: PubMed
    Score: 0.134
  2. Clinical genomics and contextualizing genome variation in the diagnostic laboratory. Expert Rev Mol Diagn. 2020 10; 20(10):995-1002.
    View in: PubMed
    Score: 0.126
  3. Lessons learned from additional research analyses of unsolved clinical exome cases. Genome Med. 2017 03 21; 9(1):26.
    View in: PubMed
    Score: 0.099
  4. Homozygous and hemizygous CNV detection from exome sequencing data in a Mendelian disease cohort. Nucleic Acids Res. 2017 02 28; 45(4):1633-1648.
    View in: PubMed
    Score: 0.098
  5. A visual and curatorial approach to clinical variant prioritization and disease gene discovery in genome-wide diagnostics. Genome Med. 2016 Feb 02; 8(1):13.
    View in: PubMed
    Score: 0.091
  6. Mutations of RAI1, a PHD-containing protein, in nondeletion patients with Smith-Magenis syndrome. Hum Genet. 2004 Nov; 115(6):515-24.
    View in: PubMed
    Score: 0.042
  7. PhenoDB, GeneMatcher and VariantMatcher, tools for analysis and sharing of sequence data. Orphanet J Rare Dis. 2021 08 18; 16(1):365.
    View in: PubMed
    Score: 0.034
  8. Exome sequencing reveals a novel variant in NFX1 causing intracranial aneurysm in a Chinese family. J Neurointerv Surg. 2020 Feb; 12(2):221-226.
    View in: PubMed
    Score: 0.029
  9. Assessing structural variation in a personal genome-towards a human reference diploid genome. BMC Genomics. 2015 Apr 11; 16:286.
    View in: PubMed
    Score: 0.022
  10. The complete genome of an individual by massively parallel DNA sequencing. Nature. 2008 Apr 17; 452(7189):872-6.
    View in: PubMed
    Score: 0.013
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.