Junbai Wang
Affiliations: | Columbia University, New York, NY |
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Yang M, Ali O, Bjørås M, et al. (2023) Identifying functional regulatory mutation blocks by integrating genome sequencing and transcriptome data. Iscience. 26: 107266 |
Farooq A, Trøen G, Delabie J, et al. (2022) Integrating whole genome sequencing, methylation, gene expression, topological associated domain information in regulatory mutation prediction: A study of follicular lymphoma. Computational and Structural Biotechnology Journal. 20: 1726-1742 |
Zhou Y, Cheng X, Yang Y, et al. (2020) Modeling and analysis of Hi-C data by HiSIF identifies characteristic promoter-distal loops. Genome Medicine. 12: 69 |
Sahaf Naeini A, Farooq A, Bjørås M, et al. (2020) IGAP-integrative genome analysis pipeline reveals new gene regulatory model associated with nonspecific TF-DNA binding affinity. Computational and Structural Biotechnology Journal. 18: 1270-1286 |
Batmanov K, Delabie J, Wang J. (2019) BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts. Frontiers in Genetics. 10: 282 |
Zhou Y, Gerrard DL, Wang J, et al. (2019) Temporal dynamic reorganization of 3D chromatin architecture in hormone-induced breast cancer and endocrine resistance. Nature Communications. 10: 1522 |
Gerrard DL, Wang Y, Gaddis M, et al. (2018) Three-dimensional analysis reveals altered chromatin interaction by enhancer inhibitors harbors TCF7L2-regulated cancer gene signature. Journal of Cellular Biochemistry |
Batmanov K, Wang J. (2017) Predicting Variation of DNA Shape Preferences in Protein-DNA Interaction in Cancer Cells with a New Biophysical Model. Genes. 8 |
Batmanov K, Wang W, Bjørås M, et al. (2017) Integrative whole-genome sequence analysis reveals roles of regulatory mutations in BCL6 and BCL2 in follicular lymphoma. Scientific Reports. 7: 7040 |
Wang J, Wu Q, Hu XT, et al. (2016) An integrated approach to infer dynamic protein-gene interactions - a case study of the human P53 protein. Methods (San Diego, Calif.) |