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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

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Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde nov. 1998 / hasta nov. 2015 EBSCOHost
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

Tabla de contenidos

Author Correction: A highly photostable and bright green fluorescent protein

Masahiko Hirano; Ryoko Ando; Satoshi ShimozonoORCID; Mayu Sugiyama; Noriyo Takeda; Hiroshi Kurokawa; Ryusaku Deguchi; Kazuki Endo; Kei Haga; Reiko Takai-Todaka; Shunsuke Inaura; Yuta Matsumura; Hiroshi Hama; Yasushi OkadaORCID; Takahiro Fujiwara; Takuya Morimoto; Kazuhiko KatayamaORCID; Atsushi MiyawakiORCID

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 ChenORCID; Sean K. WangORCID; Julia A. BelkORCID; Laura AmayaORCID; Zhijian Li; Angel Cardenas; Brian T. Abe; Chun-Kan Chen; Paul A. WenderORCID; Howard Y. ChangORCID

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. McCrackenORCID; Ankit B. PatelORCID; Weitao Zhang; Lioba Ester; M. Todd ValeriusORCID; 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.

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DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer

Gunjan Baid; Daniel E. Cook; Kishwar ShafinORCID; Taedong YunORCID; Felipe Llinares-López; Quentin Berthet; Anastasiya Belyaeva; Armin TöpferORCID; Aaron M. Wenger; William J. RowellORCID; Howard Yang; Alexey Kolesnikov; Waleed Ammar; Jean-Philippe VertORCID; Ashish Vaswani; Cory Y. McLeanORCID; Maria Nattestad; Pi-Chuan ChangORCID; Andrew CarrollORCID

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 HirschORCID; Leo GuignardORCID; Katie McDole; Yinan Wan; William C. LemonORCID; Dagmar Kainmueller; Philipp J. KellerORCID; Stephan PreibischORCID; Jan FunkeORCID

<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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