Publications
Goff L, Rinn J. Linking RNA biology to lncRNAs. Genome research. 2015;25(10):1456-65. doi:10.1101/gr.191122.115
Vilhjálmsson B, Yang J, Finucane H, et al. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores. American journal of human genetics. 2015;97(4):576-92. doi:10.1016/j.ajhg.2015.09.001
Li YR, van Setten J, Verma SS, et al. Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies. Genome Med. 2015;7:90. doi:10.1186/s13073-015-0211-x
Truong DT, Franzosa EA, Tickle TL, et al. MetaPhlAn2 for enhanced metagenomic taxonomic profiling. Nat Methods. 2015;12(10):902-3. doi:10.1038/nmeth.3589
Zheng HF, Forgetta V, Hsu YH, et al. Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. Nature. 2015;526(7571):112-7. doi:10.1038/nature14878
Cleary B, Brito IL, Huang K, et al. Detection of low-abundance bacterial strains in metagenomic datasets by eigengenome partitioning. Nat Biotechnol. 2015;33(10):1053-60. doi:10.1038/nbt.3329
Karaderi T, Drong AW, Lindgren CM. Insights into the Genetic Susceptibility to Type 2 Diabetes from Genome-Wide Association Studies of Obesity-Related Traits. Curr Diab Rep. 2015;15(10):83. doi:10.1007/s11892-015-0648-8
MacRae CA, Peterson RT. Zebrafish as tools for drug discovery. Nat Rev Drug Discov. 2015;14(10):721-31. doi:10.1038/nrd4627
Luo C, Knight R, Siljander H, Knip M, Xavier RJ, Gevers D. ConStrains identifies microbial strains in metagenomic datasets. Nat Biotechnol. 2015;33(10):1045-52. doi:10.1038/nbt.3319