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

相关实验视频

Updated: Jan 16, 2026

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.8K

DRAGoN:用于分析DRUG-seq数据集的强大的管道.

Scott Norton1, John M Gaspar1

  • 1Department of Data Science & Scientific Informatics, Research and Development Sciences-Information Technology, Merck & Co., Inc., Cambridge, MA, 02141, United States.

Bioinformatics advances
|September 26, 2025
PubMed
概括
此摘要是机器生成的。

相关概念视频

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

MGtree: A Fast and Flexible Alignment-Based Metagenomics Pipeline.

Viruses·2026
Same author

Fluorescently engineered KRAS-mutant organoids as versatile tools for in vitro and in vivo cancer modeling.

Biochemistry and biophysics reports·2026
Same author

Enhancer-driven gene regulatory network of forebrain human development provides insights into autism.

bioRxiv : the preprint server for biology·2025
Same author

Massively parallel characterization of regulatory elements in the developing human cortex.

Science (New York, N.Y.)·2024
Same author

Characterization of enhancer activity in early human neurodevelopment using Massively Parallel Reporter Assay (MPRA) and forebrain organoids.

Scientific reports·2024
Same author

Author Correction: Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis.

Nature neuroscience·2023

DRAGoN是一个新的生物信息管道,用于处理DRUG-seq数据. 与现有方法相比,它提供了更好的速度,灵活性和准确性,有效地处理复杂的数据集.

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
  • 基因组学就是基因组学.

背景情况:

  • 现有的用于DRUG-seq分析的生物信息学管道存在灵活性,计算时间和内存使用方面的挑战.
  • 目前的方法很难有效地分析大而复杂的DRUG-seq数据集.

研究的目的:

  • 推出DRAGoN,一个新的生物信息管道,旨在用于DRUG-seq数据处理.
  • 为现有的DRUG-seq分析工具提供更快,更强大和更灵活的替代方案.

主要方法:

  • 通过使用开源软件,自定义C++程序和Python脚本实现DRAGoN作为Nextflow管道.
  • 关键特征包括一个初步的脱多重化步骤,用于并行和每个井的统计数据,用于质量控制.
  • 该管道为过,对齐,计数,减样和高效的UMI崩提供了灵活的选项.

主要成果:

  • 在关键基准上,DRAGoN在不影响准确性的情况下,表现与现有管道相比或优于现有管道.
  • 管道有效地处理大数据集,减少计算时间和内存需求.
  • DRAGoN 在数据处理参数和高效的 UMI 崩方面提供了更高的灵活性.

结论:

更多相关视频

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
06:02

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

437
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.7K

相关实验视频

Last Updated: Jan 16, 2026

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.8K
A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
06:02

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

437
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.7K
  • 在DRUG-seq数据分析方面,DRAGoN提供了显著的进步,解决了当前生物信息学管道的局限性.
  • 它的速度,稳定性,准确性和灵活性使其成为研究人员的宝贵工具.
  • 该管道是免费可用的,促进在DRUG-seq研究中更广泛的采用和可重复性.