Catálogo de publicaciones - revistas
Nature Biotechnology
Resumen/Descripción – provisto por la editorial en inglés
Nature Biotechnology is a monthly journal covering the science and business of biotechnology. It publishes new concepts in technology/methodology of relevance to the biological, biomedical, agricultural and environmental sciences as well as covers the commercial, political, ethical, legal, and societal aspects of this research. The first function is fulfilled by the peer-reviewed research section, the second by the expository efforts in the front of the journal. We provide researchers with news about business; we provide the business community with news about research developments.Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Período | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | desde jul. 2012 / hasta dic. 2023 | Nature.com |
Información
Tipo de recurso:
revistas
ISSN impreso
1087-0156
ISSN electrónico
1546-1696
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
1996-
Cobertura temática
Tabla de contenidos
Author Correction: A highly photostable and bright green fluorescent protein
Masahiko Hirano; Ryoko Ando; Satoshi Shimozono
; Mayu Sugiyama; Noriyo Takeda; Hiroshi Kurokawa; Ryusaku Deguchi; Kazuki Endo; Kei Haga; Reiko Takai-Todaka; Shunsuke Inaura; Yuta Matsumura; Hiroshi Hama; Yasushi Okada; Takahiro Fujiwara; Takuya Morimoto; Kazuhiko Katayama; Atsushi Miyawaki
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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Author Correction: Engineering circular RNA for enhanced protein production
Robert Chen; Sean K. Wang; Julia A. Belk; Laura Amaya; Zhijian Li; Angel Cardenas; Brian T. Abe; Chun-Kan Chen; Paul A. Wender; Howard Y. Chang
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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Delix Therapeutics : psychedelics without the trip
Ken Garber
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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Human ureteric bud organoids recapitulate branching morphogenesis and differentiate into functional collecting duct cell types
Min Shi; Kyle W. McCracken; Ankit B. Patel; Weitao Zhang; Lioba Ester; M. Todd Valerius; Joseph V. Bonventre
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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One pangenome to bind them all
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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Decentralized investor communities gain traction in biotech
Laura DeFrancesco; Ariel Klevecz
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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Machine learning powers biobank-driven drug discovery
Michael Eisenstein
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer
Gunjan Baid; Daniel E. Cook; Kishwar Shafin; Taedong Yun; Felipe Llinares-López; Quentin Berthet; Anastasiya Belyaeva; Armin Töpfer; Aaron M. Wenger; William J. Rowell; Howard Yang; Alexey Kolesnikov; Waleed Ammar; Jean-Philippe Vert; Ashish Vaswani; Cory Y. McLean; Maria Nattestad; Pi-Chuan Chang; Andrew Carroll
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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Chroma Medicine and Tune Therapeutics: Two companies take up epigenome editing
Laura DeFrancesco
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations
Caroline Malin-Mayor; Peter Hirsch; Leo Guignard; Katie McDole; Yinan Wan; William C. Lemon; Dagmar Kainmueller; Philipp J. Keller; Stephan Preibisch; Jan Funke
<jats:title>Abstract</jats:title><jats:p>We present a method to automatically identify and track nuclei in time-lapse microscopy recordings of entire developing embryos. The method combines deep learning and global optimization. On a mouse dataset, it reconstructs 75.8% of cell lineages spanning 1 h, as compared to 31.8% for the competing method. Our approach improves understanding of where and when cell fate decisions are made in developing embryos, tissues, and organs.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
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