Publications
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2014. Network-level architecture and the evolutionary potential of underground metabolism. Proceedings of the National Academy of Sciences. 111(32):11762-11767.
2014. Network-level architecture and the evolutionary potential of underground metabolism. Proceedings of the National Academy of Sciences. 111(32):11762-11767.
2014. A new rhesus macaque assembly and annotation for next-generation sequencing analyses. Biology direct. 9:20.
2014. Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality.. Cell. 158(5):1199-209.
2014. Removing batch effects for prediction problems with frozen surrogate variable analysis.. PeerJ. 2:e561.
2014. Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms.. Nat Biotechnol. 32(5):462-4.
2015. Algorithms in Bioinformatics: 15th International Workshop, WABI 2015. Lecture Notes in Bioinformatics. :328.
2015. Algorithms in Bioinformatics: 15th International Workshop, WABI 2015. Lecture Notes in Bioinformatics. :328.
2015. Computational challenges in microbiome research. 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
2015. Encyclopedia of MetagenomicsHuman Microbiome, Assembly and Analysis Software, Project. :243-246.
2015. Genomic variation. Impact of regulatory variation from RNA to protein.. Science. 347(6222):664-7.
2015. Independent Emergence of Artemisinin Resistance Mutations Among Plasmodium falciparum in Southeast Asia. Journal of Infectious Diseases. 211:670-679.
2015. Independent Emergence of Artemisinin Resistance Mutations Among Plasmodium falciparum in Southeast Asia. Journal of Infectious Diseases. 211:670-679.
2015. Independent Emergence of Artemisinin Resistance Mutations Among Plasmodium falciparum in Southeast Asia. Journal of Infectious Diseases. 211:670-679.
2015. Insights from GWAS: emerging landscape of mechanisms underlying complex trait disease.. BMC Genomics. 16 Suppl 8:S4.
2015. Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
2015. Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
2015. Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
2015. Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.