The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Engineering Quantitative Trait Variation for Crop Improvement by Genome Editing
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Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
Cis-regulatory elements: Molecular mechanisms and evolutionary processes underlying divergence
Wittkopp, P. J., & Kalay, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3095 · Cited by 1,231
Morphogenic Regulators Baby boom and Wuschel Improve Monocot Transformation
Lowe, K., Wu, E., Wang, N., Hoerster, G., Hastings, C., Cho, M.-J., Scelonge, C., Lenderts, B., Chamberlin, M., Cushatt, J., et al. (2016) · The Plant Cell · doi:10.1105/tpc.16.00124 · Cited by 881 · cited 1×
“With the remarkable pace that genomeediting andplant transformation technologies are advancing (Barrangou and Doudna, 2016; Cermak et al., 2017; Lowe et al., 2016), expansive libraries of regulatory alleles could soon be created in both plants and animals (Van Eenennaam, 2017).”
BackgroundPrecision genome engineering and agriculture: opportunities and regulatory challenges
Voytas, D. F., & Gao, C. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001877 · Cited by 458
Cited by
Applications of CRISPR–Cas in agriculture and plant biotechnology
Zhu, H., Li, C., & Gao, C. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00288-9 · Cited by 870
Precise plant genome editing using base editors and prime editors
Molla, K. A., Sretenovic, S., Bansal, K. C., & Qi, Y. (2021) · Nature Plants · doi:10.1038/s41477-021-00991-1 · Cited by 387
CRISPR/Cas: A powerful tool for gene function study and crop improvement
Zhang, D., Zhang, Z., Unver, T., & Zhang, B. (2021) · Journal of Advanced Research · doi:10.1016/j.jare.2020.10.003 · Cited by 373
Haque, E., Taniguchi, H., Hassan, M. M., Bhowmik, P., Karim, M. R., Śmiech, M., Zhao, K., Rahman, M., & Islam, T. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.00617 · Cited by 236
The CRISPR/Cas9 system and its applications in crop genome editing
Bao, A., Burritt, D. J., Chen, H., Zhou, X., Cao, D., & Tran, L.-S. P. (2019) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2018.1554621 · Cited by 185
Metadata
- Authors
- Rodríguez-Leal, D., Lemmon, Z. H., Man, J., Bartlett, M. E., & Lippman, Z. B.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 171
- Issue
- 2
- Pages
- 470-480.e8
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2756471683
- Cited by
- 1,159
- References
- 6
- FWCI
- 28.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Rodríguez-Leal, D., Lemmon, Z. H., Man, J., Bartlett, M. E., & Lippman, Z. B. (2017). Engineering Quantitative Trait Variation for Crop Improvement by Genome Editing. Cell. https://doi.org/10.1016/j.cell.2017.08.030
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.