Kedar Nath Natarajan - Publications

Affiliations: 
MRC Clinical Sciences Centre Imperial College London, London, England, United Kingdom 

13 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Mishra S, Pandey N, Chawla S, Sharma M, Chandra O, Jha IP, SenGupta D, Natarajan KN, Kumar V. Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysis. Genome Research. 33: 218-231. PMID 36653120 DOI: 10.1101/gr.277015.122  0.375
2020 Kim J, T Jakobsen S, Natarajan KN, Won KJ. TENET: gene network reconstruction using transfer entropy reveals key regulatory factors from single cell transcriptomic data. Nucleic Acids Research. PMID 33170214 DOI: 10.1093/nar/gkaa1014  0.538
2020 Cuomo ASE, Seaton DD, McCarthy DJ, Martinez I, Bonder MJ, Garcia-Bernardo J, Amatya S, Madrigal P, Isaacson A, Buettner F, Knights A, Natarajan KN, Vallier L, Marioni JC, et al. Publisher Correction: Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression. Nature Communications. 11: 1572. PMID 32251272 DOI: 10.1038/S41467-020-15098-Y  0.464
2020 Cuomo ASE, Seaton DD, McCarthy DJ, Martinez I, Bonder MJ, Garcia-Bernardo J, Amatya S, Madrigal P, Isaacson A, Buettner F, Knights A, Natarajan KN, Vallier L, Marioni JC, et al. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression. Nature Communications. 11: 810. PMID 32041960 DOI: 10.1038/S41467-020-14457-Z  0.355
2020 Oatley M, Bölükbası ÖV, Svensson V, Shvartsman M, Ganter K, Zirngibl K, Pavlovich PV, Milchevskaya V, Foteva V, Natarajan KN, Baying B, Benes V, Patil KR, Teichmann SA, Lancrin C. Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition. Nature Communications. 11: 586. PMID 31996681 DOI: 10.1038/S41467-019-14171-5  0.337
2019 Natarajan KN, Miao Z, Jiang M, Huang X, Zhou H, Xie J, Wang C, Qin S, Zhao Z, Wu L, Yang N, Li B, Hou Y, Liu S, Teichmann SA. Comparative analysis of sequencing technologies for single-cell transcriptomics. Genome Biology. 20: 70. PMID 30961669 DOI: 10.1186/S13059-019-1676-5  0.313
2018 Chen X, Miragaia RJ, Natarajan KN, Teichmann SA. A rapid and robust method for single cell chromatin accessibility profiling. Nature Communications. 9: 5345. PMID 30559361 DOI: 10.1038/S41467-018-07771-0  0.361
2018 Tuck AC, Natarajan KN, Rice GM, Borawski J, Mohn F, Rankova A, Flemr M, Wenger A, Nutiu R, Teichmann S, Bühler M. Distinctive features of lincRNA gene expression suggest widespread RNA-independent functions. Life Science Alliance. 1: e201800124. PMID 30456373 DOI: 10.26508/lsa.201800124  0.58
2017 Natarajan KN, Teichmann SA, Kolodziejczyk AA. Single cell transcriptomics of pluripotent stem cells: reprogramming and differentiation. Current Opinion in Genetics & Development. 46: 66-76. PMID 28675884 DOI: 10.1016/J.Gde.2017.06.003  0.341
2017 Svensson V, Natarajan KN, Ly LH, Miragaia RJ, Labalette C, Macaulay IC, Cvejic A, Teichmann SA. Power analysis of single-cell RNA-sequencing experiments. Nature Methods. PMID 28263961 DOI: 10.1038/Nmeth.4220  0.383
2015 Kolodziejczyk AA, Kim JK, Tsang JC, Ilicic T, Henriksson J, Natarajan KN, Tuck AC, Gao X, Bühler M, Liu P, Marioni JC, Teichmann SA. Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation. Cell Stem Cell. 17: 471-485. PMID 26431182 DOI: 10.1016/J.Stem.2015.09.011  0.538
2015 Scialdone A, Natarajan KN, Saraiva LR, Proserpio V, Teichmann SA, Stegle O, Marioni JC, Buettner F. Computational assignment of cell-cycle stage from single-cell transcriptome data. Methods (San Diego, Calif.). 85: 54-61. PMID 26142758 DOI: 10.1016/J.Ymeth.2015.06.021  0.368
2015 Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, Teichmann SA, Marioni JC, Stegle O. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nature Biotechnology. 33: 155-60. PMID 25599176 DOI: 10.1038/Nbt.3102  0.427
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