関連する実験動画

Updated: Feb 17, 2026

Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures
09:11

Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures

Published on: April 4, 2021

3.5K

絶対的な豊かさでUniFracを解釈する:概念的・実践的ガイド

Augustus Pendleton1, Marian L Schmidt1

  • 1Department of Microbiology, Cornell University, 123 Wing Dr, Ithaca, NY 14850, United States.

ISME communications
|February 16, 2026
PubMed
まとめ

新しいAbsolute UniFracメトリックは,より包括的な生態学的分析のために,微生物の負荷,組成,および系統学を統合します. このアプローチは,微生物コミュニティのシフトの検出を強化し,微生物生態学へのより深い洞察を提供します.

キーワード:
ユニフラック (UniFrac) とは絶対的な豊かさである.ベータ多様性 ベータ多様性バイオインフォマティックス微生物生態学とは

さらに関連する動画

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

8.0K
Quantifying X-Ray Fluorescence Data Using MAPS14:58

Quantifying X-Ray Fluorescence Data Using MAPS

Published on: February 17, 2018

11.3K

関連する概念動画

Bioavailability Study Design: Absolute Versus Relative Bioavailability01:27

Bioavailability Study Design: Absolute Versus Relative Bioavailability

Bioavailability is a crucial pharmacokinetic parameter that quantifies the proportion of an administered drug that reaches the systemic circulation and is available for therapeutic action. Regulatory agencies mandate the assessment of bioavailability, typically measured as the area under the drug plasma concentration-versus-time curve (AUC), to ensure the efficacy and safety of pharmaceutical products. These evaluations are categorized as absolute and relative bioavailability studies.Absolute...
383
Interpreting R Charts01:22

Interpreting R Charts

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...
372
F Distribution01:19

F Distribution

The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
10.7K
Interpreting X̄ Charts01:13

Interpreting X̄ Charts

Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...
318
Relative Frequency Distribution00:55

Relative Frequency Distribution

A relative frequency distribution is the proportion or fraction of times a value occurs in a data set. To find the relative frequencies, one can divide each frequency by the total number of data points in the sample. It is very similar to a regular frequency distribution, except that instead of reporting how many data values fall in a class, a relative frequency distribution reports the fraction of data values that fall in a class. These fractions or proportions are called relative frequencies...
13.8K