Nature methods
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
Table of contents
- 229
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CRISPR off-targets: a reassessment| 2018
- 231
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The Author File: Shai Shen-OrrMarx, V. et al. | 2018
- 233
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Points of Significance: Statistics versus machine learningBzdok, D. / Altman, N. / Krzywinski, M. et al. | 2018
- 235
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Response to “Unexpected mutations after CRISPR–Cas9 editing in vivo”Nutter, L. M. / Heaney, J. D. / Lloyd, K. C. et al. | 2018
- 241
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Imaging: Illuminating the brain's dark matterSchnell, C. et al. | 2018
- 242
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Proteomics: Heating up cells to bring down complexesDoerr, A. et al. | 2018
- 242
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Neuroscience: Minimally invasive optogeneticsVogt, N. et al. | 2018
- 244
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Cell biology: Live-streaming the cytoplasmNawy, T. et al. | 2018
- 245
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Chemical biology: Detecting kiss-and-run interactions with LIPSTIC| 2018
- 245
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Genomics: Single-cell hat trick| 2018
- 245
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Stem cells: From somatic cells to naive pluripotent cells| 2018
- 245
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Neuroscience: A clear window into the brain| 2018
- 246
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Imaging: Peptide-tag-specific nanobody for dSTORM| 2018
- 246
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Genomics: Genome editing with ease| 2018
- 246
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Structural biology: Local resolution of cryo-EM maps with MonoRes| 2018
- 246
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Genomics: Off-targets in epigenome editing| 2018
- 247
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Genomics: Transcription triggers enhancer movementRusk, N. et al. | 2018
- 249
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How to pull the blanket off dormant cancer cellsMarx, V. et al. | 2018
- 253
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A deep (learning) dive into a cellBranson, K. et al. | 2018
- 255
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Bias, robustness and scalability in single-cell differential expression analysisSoneson, C. / Robinson, M. D. et al. | 2018
- 263
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Quantitative mapping and minimization of super-resolution optical imaging artifactsCulley, S. n. / Albrecht, D. / Jacobs, C. et al. | 2018
- 267
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Alignment of single-cell trajectories to compare cellular expression dynamicsAlpert, A. / Moore, L. S. / Dubovik, T. et al. | 2018
- 271
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On the design of CRISPR-based single-cell molecular screensHill, A. J. / McFaline-Figueroa, J. L. / Starita, L. M. et al. | 2018
- 275
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A hybridization-chain-reaction-based method for amplifying immunosignalsLin, R. / Feng, Q. / Li, P. et al. | 2018
- 279
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Identifying the favored mutation in a positive selective sweepAkbari, A. / Vitti, J. J. / Iranmehr, A. et al. | 2018
- 283
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Cell-type specific sequencing of microRNAs from complex animal tissuesAlberti, C. / Manzenreither, R. A. / Sowemimo, I. et al. | 2018
- 290
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Using deep learning to model the hierarchical structure and function of a cellMa, J. / Yu, M. K. / Fong, S. et al. | 2018