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Updated: Jul 14, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

非自然な塩基対の効率的に拡張されたクラス

Aaron M Leconte1, Shigeo Matsuda, Floyd E Romesberg

  • 1Department of Chemistry, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA.

Journal of the American Chemical Society
|May 25, 2006
PubMed
まとめ

研究者は,合成生物学とバイオテクノロジーのための効率的な水性非自然な塩基対を見つけるための新しいスクリーニング方法を開発しました. この発見は,拡張された能力を持つ新しい核酸を作成する可能性を高めています.

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