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相关概念视频

Introduction to R01:11

Introduction to R

4.4K
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
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Interpreting R Charts01:22

Interpreting R Charts

504
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
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maldipickr dereplicates microbial MALDI-TOF spectra to facilitate multiplexed isolation.

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RAM-MSA: an anytime memory-bounded method for exact multiple sequence alignment using path finding.

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相关实验视频

Updated: May 3, 2026

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
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High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

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WebCMap:在CMap框架内使用R包进行高吞吐量连接分析.

Hongen Kang1,2, Yin-Ying Wang1,2, Peilin Jia1,2

  • 1China National Center for Bioinformation, Beijing 100101, China.

Bioinformatics advances
|November 21, 2025
PubMed
概括
此摘要是机器生成的。

WebCMap是一个新的R包,用于使用连接地图 (CMap) 数据库进行高效的药物重定位. 它克服了计算方面的挑战,使个人计算机上药物诱导的转录组签名能够快速选.

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Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
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Author Spotlight: Cistrome Analysis in Mouse Muscle Stem Cells
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Author Spotlight: Cistrome Analysis in Mouse Muscle Stem Cells

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相关实验视频

Last Updated: May 3, 2026

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
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High-Throughput Analysis of Optical Mapping Data Using ElectroMap

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Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
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Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

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Author Spotlight: Cistrome Analysis in Mouse Muscle Stem Cells
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Author Spotlight: Cistrome Analysis in Mouse Muscle Stem Cells

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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
  • 药理学 药理学是指药理学的学科.

背景情况:

  • 药物诱导的转录组签名对于识别新疾病的候选药物至关重要.
  • 连接地图 (CMap) 数据库包含超过72万个由化合物诱导的签名,广泛用于药物重用.
  • 分析CMap签名面临的挑战是由于高计算需求和各种分析方法的不一致结果.

研究的目的:

  • 开发一个R包,WebCMap,用于有效和全面地分析CMap药物诱导的签名.
  • 为了在整个CMap数据库中搜索具有相似或相反活动的化合物.
  • 提供一个用户友好的工具,用于在个人计算机资源上重新使用药物.

主要方法:

  • WebCMap 实现了六种已建立的计算方法来分析转录组签名.
  • 包含一个元分数来评估不同方法的结果的一致性.
  • 该软件包使用网络加速框架,预先计算的排列测试统计数据和多核并行化以提高速度.

主要成果:

  • WebCMap 便于对候选化合物进行快速选,以对抗大量药物诱导的特征.
  • 该R套件可以在个人电脑上高效地检索分析结果.
  • 它解决了计算瓶,并提高了连接分析的可靠性.

结论:

  • WebCMap提供了一种强大且易于使用的解决方案,用于使用连接地图重新使用药物.
  • 该套件提高了转录密码签名分析的效率和一致性.
  • 它为研究人员民主化了对大规模药物重定向分析的访问.