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萌喵读文献-生物信息学
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science

萌喵读文献-生物信息学

Hosted by Meng Zhao · 🇺🇸 US · ZH · 454 episodes

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Episodes
454
Last ep.
16 days ago
Avg length
3m
Language
ZH
Booking Probability™
38
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Listen Score
37
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Virality (30d)
54
Steady cadence.

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About this podcast

请关注绿🫧公号:amytheory每天一分钟,解码生命的数字密码!在数据海洋中徜徉,在算法丛林中穿梭,生物信息学的世界精彩纷呈却又错综复杂。别担心,萌喵来啦!我们的AI主播每天为您精选一篇最前沿、最令人兴奋的生物信息学文献,用简明扼要的语言,在短短一分钟内为您揭示其中的精髓。特色:🧬 聚焦生物信息学最新突破🤖 AI驱动,确保内容既专业又易懂⏱️ 每集仅需1分钟,效率MAX🎧 语音播报,解放双眼,随时学习📅 工作日每日更新,紧跟学术前沿无论您是在赶往实验室的路上,还是在服务器维护的间隙,亦或是想在组会前快速了解最新进展,萌喵都是您的得力助手!让我们一起用轻松愉快的方式,探索基因组学、蛋白质组学、系统生物学等领域的无限可能。订阅"萌喵读文献-生物信息学",让每一分钟都充满数据驱动的洞察力!喵~🐱💻

science

About the host

Meng Zhao hosts 萌喵读文献-生物信息学, a science show with 454 episodes published.

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Recent episodes

Our AI reads these to draft pitches

今日生物信息学最高分文献 - 2026-04-21

Apr 21, 20262m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。本期关注发表在Briefings in bioinformatics (IF: 6.8)上的重要研究"GALA: a unified landmark-free framework for coarse-to-fine spatial alignment across resolutions and modalities in spatial transcripto

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今日生物信息学最高分文献 - 2026-04-20

Apr 20, 20263m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 本期关注发表在《Nucleic Acids Research》(IF:16.6)上的研究"Frequent occurrence and predicted functions of tRNAs with 4-base-pair anticodon stems in bacteria: extended superwobble hypothesis"。科学家发现细

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今日生物信息学最高分文献 - 2026-04-19

Apr 19, 20263m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。今天我们关注发表在Cell(影响因子45.5)上的重要研究"Predicting competition and substrate preferences for targeted microbiome alteration"。加州大学圣地亚哥分校的研究团队开发了MIND方法,通过量化mRNA翻译优先级,首次能够准确预测复杂微生物群落中的竞争关系和底物偏好。这一突

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今日生物信息学最高分文献 - 2026-04-18

Apr 18, 20262m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 今天我们要讨论的是发表在《Biotechnology advances》(影响因子12.1)上的一篇重要研究,题为"Harnessing bioreactor heterogeneity: From gradient understanding to autonomous control via multiscale modeling and intelligen

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今日生物信息学最高分文献 - 2026-04-17

Apr 17, 20263m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 本期关注发表在《Genome Biology》(IF: 10.1)上的重要研究"Benchmarking component choices for unpaired single cell RNA and epigenomic integration"。这项研究系统评估了单细胞多组学数据整合方法,为复杂的多组学研究设计提供了宝贵指导。研究发现,基因活性评分能有效

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今日生物信息学最高分文献 - 2026-04-16

Apr 16, 20262m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。本期关注发表在《Genome Biology》(IF:10.1)上的重要研究"Benchmarking component choices for unpaired single cell RNA and epigenomic integration"。该研究系统评估了单细胞RNA与表观基因组数据整合方法,发现降维是关键步骤,非线性方法表现更优,而基于最优传输的标签

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今日生物信息学最高分文献 - 2026-04-15

Apr 15, 20264m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。 本期关注发表在Journal of nanobiotechnology (IF:10.6)上的重要研究"Integration of bioinformatics analysis and experimental verification reveals the role of neutrophil extracellular traps in silica n

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今日生物信息学最高分文献 - 2026-04-14

Apr 14, 20262m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。今天的顶级研究是发表在《International Journal of Molecular Sciences》(影响因子4.9)上的论文"Glycobiology in Human Health and Disease"。这项突破性研究揭示了糖生物学如何从一个传统描述性学科转变为理解健康与疾病生物调节的核心框架。研究强调了糖基化修饰在细胞通讯、免疫反应和疾病发展中

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今日生物信息学最高分文献 - 2026-04-13

Apr 13, 20263m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。本期关注发表在《Drug discovery today》(影响因子6.5)上的重要论文"Multidisciplinary review method for novel target identification and prioritization for neurodegenerative diseases"。这项研究提出了一种创新的多学科方法,用于神经退行

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今日生物信息学最高分文献 - 2026-04-12

Apr 12, 20263m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 本期关注发表在《Environment International》(IF:10.3)上的重要研究:"From phthalate exposure to venous thrombotic risk: Decoding the DEHP-ROS mediated OTUD1-p53 stabilization loop in endothelium."这项研究首

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今日生物信息学最高分文献 - 2026-04-11

Apr 11, 20263m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 本期关注发表在《Current Opinion in Neurobiology》(IF: 4.8)上的重要论文"Understanding the contribution of toxicant exposures to Alzheimer's disease and related dementias"。研究发现,铅、镉和砷等神经毒性物质与特定基因变异协同作用

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今日生物信息学最高分文献 - 2026-04-10

Apr 10, 20264m0

【科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载】 本期关注一篇发表在PLoS medicine(IF=10.5)上的重要研究:"Spatial omics and AI for clinically actionable cancer biomarkers"。这项创新研究揭示了空间组学与人工智能融合的突破性进展,为癌症生物标志物研究开辟了新路径。研究团队开发了一种在常规病理学中可扩展、可重复的量化方法,有效弥合

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今日生物信息学最高分文献 - 2026-04-09

Apr 9, 20263m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。本期关注发表在PLoS medicine(影响因子10.5)上的研究"Spatial omics and AI for clinically actionable cancer biomarkers"。这项创新研究整合了空间组学与人工智能技术,为癌症生物标志物研究和诊断开辟了新途径。研究团队通过开发可扩展、可重复的常规病理学定量方法,成功弥合了从实验室发现到临床应用

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今日生物信息学最高分文献 - 2026-04-08

Apr 8, 20261m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 本期关注发表在影响因子9.4的《Proceedings of the National Academy of Sciences》上的重要研究"Negative design enables cell-free expression and folding of designed transmembrane β-barrels"。这项突破性研究利用无细胞表达系统绕过

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今日生物信息学最高分文献 - 2026-04-07

Apr 7, 20264m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。本期关注发表在《Insect molecular biology》(影响因子2.3)上的研究"Emerging experimental and bioinformatic approaches in RNA interference-based pest control research"。这项综述探讨了RNA干扰技术在环保害虫控制中的突破性进展。研究显示,RNA

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今日生物信息学最高分文献 - 2026-04-06

Apr 6, 20262m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。最新发表在《美国国家科学院院刊》(影响因子9.4)上的研究"Single-cell insights: Mosquito Toll activation enhances granulocyte differentiation and immune surveillance via Notch suppression"揭示了蚊子免疫系统对抗疟疾的新机制。这项单细胞转

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今日生物信息学最高分文献 - 2026-04-05

Apr 5, 20263m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。今天为大家带来发表在Journal of nanobiotechnology (IF: 10.6)上的重要研究"Lactobacillus-derived extracellular vesicles provide multi-target acne treatment by enriched proteins and skin microbiota protec

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今日生物信息学最高分文献 - 2026-04-04

Apr 4, 20263m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 最新发表在Nature Medicine(影响因子58.7)上的研究"The exposome of brain aging across 34 countries"揭示,环境因素对大脑衰老的影响远超我们想象。这项覆盖34国、近2万人的研究发现,综合环境因素比单一因素能多解释15.5倍的脑龄变异。物理环境主要加速结构脑老化,而社会环境则更强烈影响功能脑老化。令人惊

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今日生物信息学最高分文献 - 2026-04-03

Apr 3, 20263m0

科研喵使用ai读文献,祝你效率百倍,访问labcat.com.cn下载。本期关注发表在Nature Methods(IF:36.1)上的重要研究"CREsted: modeling genomic and synthetic cell-type-specific enhancers across tissues and species"。比利时研究人员开发的CREsted软件包革新了基因组调控代码分析,结合单细胞ATAC-seq数据处理

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今日生物信息学最高分文献 - 2026-04-02

Apr 2, 20263m0

科研喵使用AI读文献,祝你效率百倍,访问labcat.com.cn下载。 本期关注发表在Nature(IF: 50.5)上的重要研究"Investigating the analytical robustness of the social and behavioural sciences"。这项引人深思的研究揭示了社会科学和行为科学研究中一个被忽视的问题:研究结果的稳健性。研究团队对100项研究进行了重新分析,发现令人惊讶的是,只有3

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25-54
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Topics covered

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Who is the host of 萌喵读文献-生物信息学?

萌喵读文献-生物信息学 is hosted by Meng Zhao. The show is categorised under science and has published 454 episodes.

How many episodes does 萌喵读文献-生物信息学 have?

萌喵读文献-生物信息学 has published 454 episodes.

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萌喵读文献-生物信息学 regularly covers science. It sits in the science category.

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萌喵读文献-生物信息学 hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

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Episodes of 萌喵读文献-生物信息学 average 3 minutes. a focused format where a clear narrative arc and tight preparation matter most.

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Our data rates 萌喵读文献-生物信息学's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 11 days ago.

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