Jove
Visualize
联系我们
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

相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.8K
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
Genomics02:02

Genomics

35.9K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.9K

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

Probiotics in football (soccer): a survey on practitioner's current perceptions and practices.

Science & medicine in football·2026
Same author

Measuring the gap: correlating synthetic-to-real drift with PHI de-identification performance.

Genomics & informatics·2026
Same author

Resources for screening the literature for glycan-related terms using PubAnnotation in GlyCosmos.

Glycobiology·2026
Same author

NLP in Support of Pharmacovigilance: QUality Adverse Drug Reaction AcTIve Control (QUADRATIC).

Clinical pharmacology and therapeutics·2026
Same author

Ten quick tips for using the NIH Comparative Genomics Resource.

PLoS computational biology·2026
Same author

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

Journal of medical Internet research·2026
Same journal

Trust, Reproducibility, and Progress: The Roles of Independent Blind Prediction and Assessment and Benchmarking in Computational Biology.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

The Evolving Cyberinfrastructure at the National Institutes of Health to Support Data and AI in Biomedical Research.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Applications of AI & ML in Biomanufacturing of Cell and Gene Therapies.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

AI for Health: Leveraging Artificial Intelligence to Revolutionize Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Workshop Introduction: Advances of AI Methods in Single Cell Spatial Omics.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
查看所有相关文章

相关实验视频

Updated: Jun 5, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

502

生物医学注释的大型语言模型的机遇和陷

Cecilia Arighi1, Jin-Dong Kim2, Zhiyong Lu3

  • 1Department of Computer and Information Sciences, University of Delaware, Ammon-Pinizzotto Biopharmaceutical Innovation Building, 590 Avenue 1743, Newark, DE19713, US, arighi@udel.edu.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|December 13, 2024
PubMed
概括
此摘要是机器生成的。

大型语言模型 (LLM) 通过帮助人类治疗来加速生物医学注释. 然而,这种共生关系既有机遇又有风险,需要仔细考虑才能有效利用.

更多相关视频

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

638
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

相关实验视频

Last Updated: Jun 5, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

502
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

638
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

科学领域:

  • 生物医学信息学 生物医学信息学
  • 人工智能在医学中的应用
  • 自然语言处理自然语言处理.

背景情况:

  • 生物医学注释对于培训和微调大型语言模型 (LLM) 至关重要.
  • 传统的人类对这些注释的策划是资源密集型的,涉及大量的时间和成本.
  • 法律学士课程有潜力简化和加快生物医学注释过程.

研究的目的:

  • 审查生物医学LLM的兴起.
  • 讨论LLM在生物医学注释中的机会.
  • 识别和分析与LLM在该领域的应用相关的局限性和风险.

主要方法:

  • 审查当前文学和在LLM发展和应用的趋势.
  • 分析LLM与生物医学注释之间的共生关系.
  • 讨论对注释和策划工作流程的实际影响.

主要成果:

  • 简单的LLM可以显著提高生物医学注释的效率.
  • 在LLMs改善策划时,存在一个反循环,这反过来又改善了LLMs.
  • 随着LLM融入生物医学数据流程,出现了新的挑战和风险.

结论:

  • 生物医学注释中LLM的应用具有双重性质,具有显著的机会和固有的风险.
  • 了解和减轻这些风险对于实现LLMs在加速生物医学研究方面的全部潜力至关重要.
  • 对LLM辅助生物医学策划的最佳实践进行进一步调查是有必要的.