Hongkai Ji
Affiliations: | Biostatistics | Johns Hopkins University, Baltimore, MD |
Area:
Biostatistics Biology, Bioinformatics BiologyGoogle:
"Hongkai Ji"
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Publications
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| Qiu X, Ma F, Zhao M, et al. (2020) Altered 3D chromatin structure permits inversional recombination at the locus. Science Advances. 6: eaaz8850 |
| Ji Z, Zhou W, Hou W, et al. (2020) Single-cell ATAC-seq signal extraction and enhancement with SCATE. Genome Biology. 21: 161 |
| Lex RK, Ji Z, Falkenstein KN, et al. (2020) GLI transcriptional repression regulates tissue-specific enhancer activity in response to Hedgehog signaling. Elife. 9 |
| Chen Z, Ji Z, Ngiow SF, et al. (2019) TCF-1-Centered Transcriptional Network Drives an Effector versus Exhausted CD8 T Cell-Fate Decision. Immunity |
| Zhou W, Ji Z, Fang W, et al. (2019) Global prediction of chromatin accessibility using small-cell-number and single-cell RNA-seq. Nucleic Acids Research |
| Caushi JX, Ji Z, Zhang J, et al. (2019) Abstract 4041: Coupling neoantigen specific T cell clonotypes and their molecular phenotypes at the single cell level in resectable anti-PD-1 treated NSCLC Cancer Research. 79: 4041-4041 |
| Wang J, Zibetti C, Shang P, et al. (2018) ATAC-Seq analysis reveals a widespread decrease of chromatin accessibility in age-related macular degeneration. Nature Communications. 9: 1364 |
| Kuang Z, Ji Z, Boeke JD, et al. (2018) Dynamic motif occupancy (DynaMO) analysis identifies transcription factors and their binding sites driving dynamic biological processes. Nucleic Acids Research. 46: e2 |
| Kuang Z, Pinglay S, Ji H, et al. (2017) Msn2/4 regulate expression of glycolytic enzymes and control transition from quiescence to growth. Elife. 6 |
| Ji Z, Zhou W, Ji H. (2017) Single-cell regulome data analysis by SCRAT. Bioinformatics (Oxford, England) |