bioRxiv
A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations
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, Preprint
Li, W; Lin, L; Malhotra, R; Yang, L; Acharya, R; Poss, M
2018
Duke Scholars
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APA
Chicago
ICMJE
MLA
NLM
Li, W., Lin, L., Malhotra, R., Yang, L., Acharya, R., & Poss, M. (2018). A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations. bioRxiv. https://doi.org/10.1101/444034
Li, Weiling, Lin Lin, Raunaq Malhotra, Lei Yang, Raj Acharya, and Mary Poss. “A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations.” BioRxiv, 2018. https://doi.org/10.1101/444034.
Li W, Lin L, Malhotra R, Yang L, Acharya R, Poss M. A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations. bioRxiv. 2018.
Li, Weiling, et al. “A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations.” BioRxiv, 2018. Epmc, doi:10.1101/444034.
Li W, Lin L, Malhotra R, Yang L, Acharya R, Poss M. A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations. bioRxiv. 2018.