Lipscombe D, Pan JQ, Schorge S. Tracks through the genome to physiological events. Exp Physiol. 2015;100(12):1429-40. doi:10.1113/EP085129
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
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
Shukla SA, Rooney MS, Rajasagi M, et al. Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes. Nat Biotechnol. 2015;33(11):1152-8. doi:10.1038/nbt.3344
Karaca E, Harel T, Pehlivan D, et al. Genes that Affect Brain Structure and Function Identified by Rare Variant Analyses of Mendelian Neurologic Disease. Neuron. 2015;88(3):499-513. doi:10.1016/j.neuron.2015.09.048
McGuire AM, Weiner B, Park ST, et al. Comparative analysis of Mycobacterium and related Actinomycetes yields insight into the evolution of Mycobacterium tuberculosis pathogenesis. BMC Genomics. 2012;13:120. doi:10.1186/1471-2164-13-120
Shaul YD, Yuan B, Thiru P, et al. MERAV: a tool for comparing gene expression across human tissues and cell types. Nucleic Acids Res. 2016;44(D1):D560-6. doi:10.1093/nar/gkv1337
Ward LD, Kellis M. HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease. Nucleic Acids Res. 2016;44(D1):D877-81. doi:10.1093/nar/gkv1340
Qu K, Garamszegi S, Wu F, et al. Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace. Nat Methods. 2016;13(3):245-7. doi:10.1038/nmeth.3732
Godec J, Tan Y, Liberzon A, et al. Compendium of Immune Signatures Identifies Conserved and Species-Specific Biology in Response to Inflammation. Immunity. 2016;44(1):194-206. doi:10.1016/j.immuni.2015.12.006