Daniel Bolon to High-Throughput Nucleotide Sequencing
This is a "connection" page, showing publications Daniel Bolon has written about High-Throughput Nucleotide Sequencing.
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0.381
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Canale AS, Cote-Hammarlof PA, Flynn JM, Bolon DN. Evolutionary mechanisms studied through protein fitness landscapes. Curr Opin Struct Biol. 2018 02; 48:141-148.
Score: 0.133
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Boucher JI, Cote P, Flynn J, Jiang L, Laban A, Mishra P, Roscoe BP, Bolon DN. Viewing protein fitness landscapes through a next-gen lens. Genetics. 2014 Oct; 198(2):461-71.
Score: 0.106
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Hietpas R, Roscoe B, Jiang L, Bolon DN. Fitness analyses of all possible point mutations for regions of genes in yeast. Nat Protoc. 2012 Jun 21; 7(7):1382-96.
Score: 0.090
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Zeldovich KB, Liu P, Renzette N, Foll M, Pham ST, Venev SV, Gallagher GR, Bolon DN, Kurt-Jones EA, Jensen JD, Caffrey DR, Schiffer CA, Kowalik TF, Wang JP, Finberg RW. Positive Selection Drives Preferred Segment Combinations during Influenza Virus Reassortment. Mol Biol Evol. 2015 Jun; 32(6):1519-32.
Score: 0.027
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Bank C, Hietpas RT, Wong A, Bolon DN, Jensen JD. A bayesian MCMC approach to assess the complete distribution of fitness effects of new mutations: uncovering the potential for adaptive walks in challenging environments. Genetics. 2014 Mar; 196(3):841-52.
Score: 0.025