Jove
Visualize
联系我们

相关概念视频

Leaky Scanning02:28

Leaky Scanning

5.1K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Rethinking foundation models in pathology.

Nature biomedical engineering·2026
Same author

Artificial intelligence modelling in grading breast phyllodes tumours.

Histopathology·2026
Same author

Multimodal learning for scalable representation of high-dimensional medical data.

Frontiers in digital health·2026
Same author

Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers.

bioRxiv : the preprint server for biology·2025
Same author

Foundation Models for Histopathology-Fanfare or Flair.

Mayo Clinic proceedings. Digital health·2025
Same author

Differentiating clinical characteristics of perianal inflammatory bowel disease from perianal hidradenitis suppurativa.

International journal of dermatology·2024
Same journal

Gap junction communication regulates luminal-myoepithelial crosstalk and cell differentiation in a bilayered human mammary epithelial cell model.

Biology methods & protocols·2026
Same journal

Nonlinear combinatorial analysis of blood transcriptomes identifies PRKAR1A as a regulator of TDP-43 pathophysiology in amyotrophic lateral sclerosis.

Biology methods & protocols·2026
Same journal

Assessing the feasibility of machine learning for ancient DNA age prediction: Limitations and insights.

Biology methods & protocols·2026
Same journal

Advances in the detection of antimicrobial resistance in aquatic environments: a methodological perspective.

Biology methods & protocols·2026
Same journal

sc-rDSeq: Droplet-based single-cell full-length total RNA-seq method.

Biology methods & protocols·2026
Same journal

Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products.

Biology methods & protocols·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 12, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

12.3K

将免疫细胞序列与大型语言模型协调用于计算分析.

Areej Alsaafin1, Hamid R Tizhoosh1

  • 1Department of Artificial Intelligence & Informatics, KIMIA Lab, Mayo Clinic, Rochester, MN, 55905, United States.

Biology methods & protocols
|September 18, 2024
PubMed
概括
此摘要是机器生成的。

Seqwash协调了大型语言模型 (LLM) 的免疫细胞序列,提高了数据质量. 这种标准化提高了数据分析序列的下游任务性能.

关键词:
免疫细胞是免疫细胞.大型语言模型.测序的测序是指测序的测序.

更多相关视频

Genome-wide Analysis of HDAC Inhibitor-mediated Modulation of microRNAs and mRNAs in B Cells Induced to Undergo Class-switch DNA Recombination and Plasma Cell Differentiation
11:06

Genome-wide Analysis of HDAC Inhibitor-mediated Modulation of microRNAs and mRNAs in B Cells Induced to Undergo Class-switch DNA Recombination and Plasma Cell Differentiation

Published on: September 20, 2017

6.1K
Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

6.9K

相关实验视频

Last Updated: Jun 12, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

12.3K
Genome-wide Analysis of HDAC Inhibitor-mediated Modulation of microRNAs and mRNAs in B Cells Induced to Undergo Class-switch DNA Recombination and Plasma Cell Differentiation
11:06

Genome-wide Analysis of HDAC Inhibitor-mediated Modulation of microRNAs and mRNAs in B Cells Induced to Undergo Class-switch DNA Recombination and Plasma Cell Differentiation

Published on: September 20, 2017

6.1K
Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

6.9K

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 免疫信息学是指免疫信息学.

背景情况:

  • 免疫细胞测序产生复杂的数据.
  • 标准化测序资料对于准确的分析至关重要.
  • 大型语言模型 (LLM) 为生物数据中的模式识别提供了潜力.

研究的目的:

  • 引入Seqwash (用于排序和协调的SEQuence加权对齐),用于处理序列配置文件的算法.
  • 为了使免疫细胞序列协调为LLM分析的统一表示.
  • 通过使用标准化测序数据来提高功能质量和下游任务性能.

主要方法:

  • 开发了Seqwash算法的开发.
  • Seqwash对免疫细胞测序数据的应用.
  • 使用LLM进行模式嵌入和信息过.

主要成果:

  • Seqwash有效地协调了免疫细胞测序配置文件.
  • 标准化配置文件显示了功能质量的提高.
  • 在监督和无监督下游测序数据任务中观察到更好的性能.

结论:

  • 排列清洗是标准化免疫细胞测序数据的有效工具.
  • 该算法使LLM能够识别生物序列中的有意义模式.
  • 序列清洗有助于改进对测序数据的下游分析.