Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data.
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| Title: | Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data. |
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| Authors: | Qin Q; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China.; Center of Molecular Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China., Fan J; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China., Zheng R; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China., Wan C; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China., Mei S; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China., Wu Q; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China., Sun H; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China., Brown M; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02215, USA.; Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA., Zhang J; Stem Cell Translational Research Center, Tongji Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200065, China. zhangjing@tongji.edu.cn., Meyer CA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. cliff_meyer@ds.dfci.harvard.edu.; Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA. cliff_meyer@ds.dfci.harvard.edu., Liu XS; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. xsliu@ds.dfci.harvard.edu.; Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA. xsliu@ds.dfci.harvard.edu. |
| Source: | Genome biology [Genome Biol] 2020 Feb 07; Vol. 21 (1), pp. 32. Date of Electronic Publication: 2020 Feb 07. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1474-760X |
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| DOI: | 10.1186/s13059-020-1934-6 |
