A multivariate genome-wide association analysis of 10 LDL subfractions, and their response to statin treatment, in 1868 Caucasians H Shim, DI Chasman, JD Smith, S Mora, PM Ridker, DA Nickerson, ... PloS one 10 (4), e0120758, 2015 | 358 | 2015 |
A statin-dependent QTL for GATM expression is associated with statin-induced myopathy LM Mangravite, BE Engelhardt, MW Medina, JD Smith, CD Brown, ... Nature 502 (7471), 377-380, 2013 | 229 | 2013 |
Thousands of novel translated open reading frames in humans inferred by ribosome footprint profiling A Raj, SH Wang, H Shim, A Harpak, YI Li, B Engelmann, M Stephens, ... elife 5, e13328, 2016 | 144 | 2016 |
Promoter shape varies across populations and affects promoter evolution and expression noise IE Schor, JF Degner, D Harnett, E Cannavň, FP Casale, H Shim, ... Nature genetics 49 (4), 550-558, 2017 | 72 | 2017 |
msCentipede: modeling heterogeneity across genomic sites and replicates improves accuracy in the inference of transcription factor binding A Raj, H Shim, Y Gilad, JK Pritchard, M Stephens PloS one 10 (9), e0138030, 2015 | 45 | 2015 |
Genome-wide association studies using single-nucleotide polymorphisms versus haplotypes: an empirical comparison with data from the North American Rheumatoid Arthritis Consortium H Shim, H Chun, CD Engelman, BA Payseur BMC proceedings 3, 1-6, 2009 | 29 | 2009 |
Wavelet-based genetic association analysis of functional phenotypes arising from high-throughput sequencing assays H Shim, M Stephens The annals of applied statistics 9 (2), 655, 2015 | 28 | 2015 |
Integrating quantitative information from ChIP-chip experiments into motif finding H Shim, S Keleş Biostatistics 9 (1), 51-65, 2008 | 14 | 2008 |
Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE Y You, YDJ Prawer, R De Paoli-Iseppi, CPJ Hunt, CL Parish, H Shim, ... Genome Biology 24 (1), 66, 2023 | 11 | 2023 |
McSplicer: a probabilistic model for estimating splice site usage from RNA-seq data I Alqassem, Y Sonthalia, E Klitzke-Feser, H Shim, S Canzar Bioinformatics 37 (14), 2004-2011, 2021 | 8 | 2021 |
Unravelling var complexity: Relationship between DBLα types and var genes in Plasmodium falciparum MH Tan, H Shim, Y Chan, K Day Frontiers in Parasitology 1, 12, 2023 | 6 | 2023 |
sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data R Lyu, V Tsui, W Crismani, R Liu, H Shim, DJ McCarthy Nucleic Acids Research 50 (20), e118-e118, 2022 | 5 | 2022 |
Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics H Li, DJ McCarthy, H Shim, S Wei BMC bioinformatics 23 (1), 460, 2022 | 5 | 2022 |
NanoSplicer: accurate identification of splice junctions using Oxford Nanopore sequencing Y You, MB Clark, H Shim Bioinformatics 38 (15), 3741-3748, 2022 | 5 | 2022 |
BayesCAT: Bayesian co-estimation of alignment and tree H Shim, B Larget Biometrics 74 (1), 270-279, 2017 | 4 | 2017 |
An accurate method for identifying recent recombinants from unaligned sequences Q Feng, KE Tiedje, S Ruybal-Pesántez, G Tonkin-Hill, MF Duffy, KP Day, ... Bioinformatics 38 (7), 1823-1829, 2022 | 3 | 2022 |
Robust differential composition and variability analysis for multisample cell omics S Mangiola, A Schulze, M Trussart, E Zozaya, M Ma, Z Gao, AF Rubin, ... bioRxiv, 2022 | 3 | 2022 |
sccomp: Robust differential composition and variability analysis for single-cell data S Mangiola, AJ Roth-Schulze, M Trussart, E Zozaya-Valdés, M Ma, Z Gao, ... Proceedings of the National Academy of Sciences 120 (33), e2203828120, 2023 | 2 | 2023 |
A Comparison of Bayesian Inference Techniques for Sparse Factor Analysis YS Foo, H Shim arXiv preprint arXiv:2112.11719, 2021 | 1 | 2021 |
Multi-scale Poisson process approaches for differential expression analysis of high-throughput sequencing data H Shim, Z Xing, E Pantaleo, F Luca, R Pique-Regi, M Stephens arXiv preprint arXiv:2106.13634, 2021 | 1 | 2021 |