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Connection

Jonathan Pritchard to Sequence Analysis, RNA

This is a "connection" page, showing publications Jonathan Pritchard has written about Sequence Analysis, RNA.
Connection Strength

1.902
  1. Annotation-free quantification of RNA splicing using LeafCutter. Nat Genet. 2018 01; 50(1):151-158.
    View in: PubMed
    Score: 0.533
  2. WASP: allele-specific software for robust molecular quantitative trait locus discovery. Nat Methods. 2015 Nov; 12(11):1061-3.
    View in: PubMed
    Score: 0.456
  3. Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data. Bioinformatics. 2009 Dec 15; 25(24):3207-12.
    View in: PubMed
    Score: 0.302
  4. Coregulation of tandem duplicate genes slows evolution of subfunctionalization in mammals. Science. 2016 May 20; 352(6288):1009-13.
    View in: PubMed
    Score: 0.120
  5. Epigenetic modifications are associated with inter-species gene expression variation in primates. Genome Biol. 2014; 15(12):547.
    View in: PubMed
    Score: 0.101
  6. Comparative RNA sequencing reveals substantial genetic variation in endangered primates. Genome Res. 2012 Apr; 22(4):602-10.
    View in: PubMed
    Score: 0.088
  7. Noisy splicing drives mRNA isoform diversity in human cells. PLoS Genet. 2010 Dec 09; 6(12):e1001236.
    View in: PubMed
    Score: 0.082
  8. Understanding mechanisms underlying human gene expression variation with RNA sequencing. Nature. 2010 Apr 01; 464(7289):768-72.
    View in: PubMed
    Score: 0.078
  9. Characterizing natural variation using next-generation sequencing technologies. Trends Genet. 2009 Oct; 25(10):463-71.
    View in: PubMed
    Score: 0.076
  10. Determining the genetic basis of anthracycline-cardiotoxicity by molecular response QTL mapping in induced cardiomyocytes. Elife. 2018 05 08; 7.
    View in: PubMed
    Score: 0.034
  11. Batch effects and the effective design of single-cell gene expression studies. Sci Rep. 2017 01 03; 7:39921.
    View in: PubMed
    Score: 0.031
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.