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Items: 14

1.

Reference Trait Analysis Reveals Correlations Between Gene Expression and Quantitative Traits in Disjoint Samples.

Skelly DA, Raghupathy N, Robledo RF, Graber JH, Chesler EJ.

Genetics. 2019 Jul;212(3):919-929. doi: 10.1534/genetics.118.301865. Epub 2019 May 21.

PMID:
31113812
2.

Mitochondrial Genome Variation Affects Multiple Respiration and Nonrespiration Phenotypes in Saccharomyces cerevisiae.

Vijayraghavan S, Kozmin SG, Strope PK, Skelly DA, Lin Z, Kennell J, Magwene PM, Dietrich FS, McCusker JH.

Genetics. 2019 Feb;211(2):773-786. doi: 10.1534/genetics.118.301546. Epub 2018 Nov 29.

PMID:
30498022
3.

Single-Cell Transcriptional Profiling Reveals Cellular Diversity and Intercommunication in the Mouse Heart.

Skelly DA, Squiers GT, McLellan MA, Bolisetty MT, Robson P, Rosenthal NA, Pinto AR.

Cell Rep. 2018 Jan 16;22(3):600-610. doi: 10.1016/j.celrep.2017.12.072.

4.

Mouse Phenome Database: an integrative database and analysis suite for curated empirical phenotype data from laboratory mice.

Bogue MA, Grubb SC, Walton DO, Philip VM, Kolishovski G, Stearns T, Dunn MH, Skelly DA, Kadakkuzha B, TeHennepe G, Kunde-Ramamoorthy G, Chesler EJ.

Nucleic Acids Res. 2018 Jan 4;46(D1):D843-D850. doi: 10.1093/nar/gkx1082.

5.

Known mutator alleles do not markedly increase mutation rate in clinical Saccharomyces cerevisiae strains.

Skelly DA, Magwene PM, Meeks B, Murphy HA.

Proc Biol Sci. 2017 Apr 12;284(1852). pii: 20162672. doi: 10.1098/rspb.2016.2672.

6.

Sporadic, Global Linkage Disequilibrium Between Unlinked Segregating Sites.

Skelly DA, Magwene PM, Stone EA.

Genetics. 2016 Feb;202(2):427-37. doi: 10.1534/genetics.115.177816. Epub 2015 Dec 29.

7.

Population perspectives on functional genomic variation in yeast.

Skelly DA, Magwene PM.

Brief Funct Genomics. 2016 Mar;15(2):138-46. doi: 10.1093/bfgp/elv044. Epub 2015 Oct 14. Review.

8.

2μ plasmid in Saccharomyces species and in Saccharomyces cerevisiae.

Strope PK, Kozmin SG, Skelly DA, Magwene PM, Dietrich FS, McCusker JH.

FEMS Yeast Res. 2015 Dec;15(8). pii: fov090. doi: 10.1093/femsyr/fov090. Epub 2015 Oct 12.

9.

The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen.

Strope PK, Skelly DA, Kozmin SG, Mahadevan G, Stone EA, Magwene PM, Dietrich FS, McCusker JH.

Genome Res. 2015 May;25(5):762-74. doi: 10.1101/gr.185538.114. Epub 2015 Apr 3.

10.

Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast.

Skelly DA, Merrihew GE, Riffle M, Connelly CF, Kerr EO, Johansson M, Jaschob D, Graczyk B, Shulman NJ, Wakefield J, Cooper SJ, Fields S, Noble WS, Muller EG, Davis TN, Dunham MJ, Maccoss MJ, Akey JM.

Genome Res. 2013 Sep;23(9):1496-504. doi: 10.1101/gr.155762.113. Epub 2013 May 29.

11.

Population genomics and transcriptional consequences of regulatory motif variation in globally diverse Saccharomyces cerevisiae strains.

Connelly CF, Skelly DA, Dunham MJ, Akey JM.

Mol Biol Evol. 2013 Jul;30(7):1605-13. doi: 10.1093/molbev/mst073. Epub 2013 Apr 25.

12.

A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data.

Skelly DA, Johansson M, Madeoy J, Wakefield J, Akey JM.

Genome Res. 2011 Oct;21(10):1728-37. doi: 10.1101/gr.119784.110. Epub 2011 Aug 26.

13.

Inherited variation in gene expression.

Skelly DA, Ronald J, Akey JM.

Annu Rev Genomics Hum Genet. 2009;10:313-32. doi: 10.1146/annurev-genom-082908-150121. Review.

PMID:
19630563
14.

Population genomics of intron splicing in 38 Saccharomyces cerevisiae genome sequences.

Skelly DA, Ronald J, Connelly CF, Akey JM.

Genome Biol Evol. 2009 Nov 17;1:466-78. doi: 10.1093/gbe/evp046.

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