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Robinson DG, Storey JD. subSeq: determining appropriate sequencing depth through efficient read subsampling. Bioinformatics. 2014 ;30(23):3424-6.
Chung NChristophe, Storey JD. Statistical significance of variables driving systematic variation in high-dimensional data. Bioinformatics. 2015 ;31(4):545-54.
Chen KM, Cofer EM, Zhou J, Troyanskaya OG. Selene: a PyTorch-based deep learning library for sequence data. Nat Methods. 2019 ;16(4):315-318.
Ghersi D, Singh M. molBLOCKS: decomposing small molecule sets and uncovering enriched fragments. Bioinformatics. 2014 ;30(14):2081-3.
Levario TJ, Zhao C, Rouse T, Shvartsman SY, Lu H. An integrated platform for large-scale data collection and precise perturbation of live Drosophila embryos. Sci Rep. 2016 ;6:21366.
Holt MT, David Y, Pollock S, Tang Z, Jeon J, Kim J, et al. Identification of a functional hotspot on ubiquitin required for stimulation of methyltransferase activity on chromatin. Proc Natl Acad Sci U S A. 2015 ;112(33):10365-70.
Roberts AM, Wong AK, Fisk I, Troyanskaya OG. GIANT API: an application programming interface for functional genomics. Nucleic Acids Res. 2016 ;44(W1):W587-92.
Wong AK, Krishnan A, Troyanskaya OG. GIANT 2.0: genome-scale integrated analysis of gene networks in tissues. Nucleic Acids Res. 2018 ;46(W1):W65-W70.
Goya J, Wong AK, Yao V, Krishnan A, Homilius M, Troyanskaya OG. FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Res. 2015 ;43(W1):W182-7.
Giovannucci A, Friedrich J, Gunn P, Kalfon J, Brown BL, Koay SAnn, et al. CaImAn an open source tool for scalable calcium imaging data analysis. Elife. 2019 ;8.