Channel:  ENCODE

144 Articles

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Identifying disease-critical cell types and cellular processes across the human body by integration of single-cell profiles and human genetics
Jagadeesh, K. A., Dey, K. K., Montoro, D. T., Mohan, R., Gazal, S., Engreitz, J. M., Xavier, R. J., Price, A. L., Regev, A.
10.1101/2021.03.19.436212 — Posted: 2021-11-23
Multiplex genomic recording of enhancer and signal transduction activity in mammalian cells
Chen, W., Choi, J., Nathans, J. F., Agarwal, V., Martin, B., Nichols, E., Leith, A., Lee, C., Shendure, J.
10.1101/2021.11.05.467434 — Posted: 2021-11-05
Compatibility logic of human enhancer and promoter sequences
Bergman, D. T., Jones, T. R., Liu, V., Siraj, L., Kang, H. Y., Nasser, J., Nguyen, T. H., Grossman, S. R., Fulco, C. P., Lander, E. S., Engreitz, J. M.
10.1101/2021.10.23.462170 — Posted: 2021-10-24
Factorbook: an Updated Catalog of Transcription Factor Motifs and Candidate Regulatory Motif Sites
Pratt, H. E., Andrews, G. R., Phalke, N., Purcaro, M. J., van der Velde, A. G., Moore, J. E., Weng, Z.
10.1101/2021.10.11.463518 — Posted: 2021-10-12
Leveraging fine-mapping and non-European training data to improve cross-population polygenic risk scores
Weissbrod, O., Kanai, M., Shi, H., Gazal, S., Peyrot, W., Khera, A., Okada, Y., The Biobank Japan Project, , Martin, A., Finucane, H., Price, A. L.
10.1101/2021.01.19.21249483 — Posted: 2021-08-20
Integrative approaches to improve the informativeness of deep learning models for human complex diseases
Dey, K. K., Kim, S. S., Gazal, S., Nasser, J., Engreitz, J. M., Price, A.
10.1101/2020.09.08.288563 — Posted: 2021-08-13
Systematic comparison of experimental assays and analytical pipelines for identification of active enhancers genome-wide
Yao, L., Liang, J., Ozer, A., Leung, A. K.-Y., ENCODE Consortium, , Lis, J. T., Yu, H.
10.1101/2021.06.02.446833 — Posted: 2021-06-04
Glucocorticoid receptor collaborates with pioneer factors and AP-1 to execute genome-wide regulation
Wissink, E. M., Martinez, D. M., Ehmsen, K. T., Yamamoto, K. R., Lis, J. T.
10.1101/2021.06.01.444518 — Posted: 2021-06-01
Axes of inter-sample variability among transcriptional neighborhoods reveal disease associated cell states in single-cell data
Reshef, Y. A., Rumker, L., Kang, J. B., Nathan, A., Korsunsky, I., Asgari, S., Murray, M. B., Moody, D. B., Raychaudhuri, S.
10.1101/2021.04.19.440534 — Posted: 2021-05-27
Leveraging single-cell ATAC-seq to identify disease-critical fetal and adult brain cell types
Kim, S. S., Jagadeesh, K., Dey, K. K., Shen, A. Z., Raychaudhuri, S., Kellis, M., Price, A. L.
10.1101/2021.05.20.445067 — Posted: 2021-05-21

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