 Connection
Jay Hesselberth to Molecular Sequence Data
This is a "connection" page, showing publications Jay Hesselberth has written about Molecular Sequence Data.
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Connection Strength |
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0.326 |
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Garrey SM, Katolik A, Prekeris M, Li X, York K, Bernards S, Fields S, Zhao R, Damha MJ, Hesselberth JR. A homolog of lariat-debranching enzyme modulates turnover of branched RNA. RNA. 2014 Aug; 20(8):1337-48.
Score: 0.080
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Hesselberth JR, Chen X, Zhang Z, Sabo PJ, Sandstrom R, Reynolds AP, Thurman RE, Neph S, Kuehn MS, Noble WS, Fields S, Stamatoyannopoulos JA. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting. Nat Methods. 2009 Apr; 6(4):283-9.
Score: 0.056
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Hesselberth JR, Miller JP, Golob A, Stajich JE, Michaud GA, Fields S. Comparative analysis of Saccharomyces cerevisiae WW domains and their interacting proteins. Genome Biol. 2006; 7(4):R30.
Score: 0.046
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Hesselberth J, Robertson MP, Jhaveri S, Ellington AD. In vitro selection of nucleic acids for diagnostic applications. J Biotechnol. 2000 Mar; 74(1):15-25.
Score: 0.030
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Grabek KR, Diniz Behn C, Barsh GS, Hesselberth JR, Martin SL. Enhanced stability and polyadenylation of select mRNAs support rapid thermogenesis in the brown fat of a hibernator. Elife. 2015 Jan 27; 4.
Score: 0.021
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Balakrishnan I, Yang X, Brown J, Ramakrishnan A, Torok-Storb B, Kabos P, Hesselberth JR, Pillai MM. Genome-wide analysis of miRNA-mRNA interactions in marrow stromal cells. Stem Cells. 2014 Mar; 32(3):662-73.
Score: 0.020
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Li X, Zhang W, Xu T, Ramsey J, Zhang L, Hill R, Hansen KC, Hesselberth JR, Zhao R. Comprehensive in vivo RNA-binding site analyses reveal a role of Prp8 in spliceosomal assembly. Nucleic Acids Res. 2013 Apr 01; 41(6):3805-18.
Score: 0.018
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Chen X, Hoffman MM, Bilmes JA, Hesselberth JR, Noble WS. A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data. Bioinformatics. 2010 Jun 15; 26(12):i334-42.
Score: 0.015
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Zhang Z, Hesselberth JR, Fields S. Genome-wide identification of spliced introns using a tiling microarray. Genome Res. 2007 Apr; 17(4):503-9.
Score: 0.012
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Hall B, Hesselberth JR, Ellington AD. Computational selection of nucleic acid biosensors via a slip structure model. Biosens Bioelectron. 2007 Apr 15; 22(9-10):1939-47.
Score: 0.012
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Cox JC, Hayhurst A, Hesselberth J, Bayer TS, Georgiou G, Ellington AD. Automated selection of aptamers against protein targets translated in vitro: from gene to aptamer. Nucleic Acids Res. 2002 Oct 15; 30(20):e108.
Score: 0.009
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Robertson MP, Hesselberth JR, Ellington AD. Optimization and optimality of a short ribozyme ligase that joins non-Watson-Crick base pairings. RNA. 2001 Apr; 7(4):513-23.
Score: 0.008
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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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