Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

pH Scale02:41

pH Scale

79.1K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
79.1K
Scaling01:26

Scaling

571
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
571
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.0K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

43.1K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
43.1K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Data Collection I01:30

Data Collection I

7.9K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Blood Clock Correlation Distance (BloodCCD) as a novel marker to detect circadian rhythm disruption in cancer survivors with insomnia.

BJC reports·2025
Same author

LimoRhyde2: Genomic analysis of biological rhythms based on effect sizes.

PloS one·2023
Same author

The phenotype-genotype reference map: Improving biobank data science through replication.

American journal of human genetics·2023
Same author

LimoRhyde2: genomic analysis of biological rhythms based on effect sizes.

bioRxiv : the preprint server for biology·2023
Same author

Sex Inclusion in Transcriptome Studies of Daily Rhythms.

Journal of biological rhythms·2022
Same author

The seeker R package: simplified fetching and processing of transcriptome data.

PeerJ·2022
Same journal

Evaluation of cold resistance in pear (<i>Pyrus</i> L.) germplasms: integrating physiological and biochemical responses with anatomical traits under low temperature stress.

PeerJ·2026
Same journal

Evaluation of retinal and choroidal microvasculature parameters by OCTA in patients with premature ovarian insufficiency: a prospective case control study.

PeerJ·2026
Same journal

Development and prognostic evaluation of a combined SII-LNR score in resectable gastric and gastroesophageal junction adenocarcinoma treated with perioperative FLOT: a retrospective single-center study.

PeerJ·2026
Same journal

Validity and reliability evaluation of the Chinese version of the attention-deficit/hyperactivity disorder stigma questionnaire.

PeerJ·2026
Same journal

Relationship between mental disorders and non-traumatic cerebral hemorrhage: cross-sectional analysis and mendelian randomization.

PeerJ·2026
Same journal

Association between intestinal functional disorders and anal fistula: evidence from a retrospective case-control study.

PeerJ·2026
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

5.4K

Simphony: simulating large-scale, rhythmic data.

Jordan M Singer1, Darwin Y Fu1, Jacob J Hughey1,2

  • 1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States of America.

Peerj
|June 15, 2019
PubMed
Summary
This summary is machine-generated.

Simphony is a new R package that generates simulated rhythmic biological data for computational tool development. This tool aids in assessing methods for detecting biological rhythms in complex datasets.

Keywords:
CircadianGene expressionRhythmsSimulationTranscriptome

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.9K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

431

Related Experiment Videos

Last Updated: Jan 23, 2026

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

5.4K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.9K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

431

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Data Simulation

Background:

  • Distinguishing biological signal from noise is crucial for computational methods.
  • Many biological systems exhibit rhythmic patterns, but tools for simulating large-scale rhythmic data are lacking.

Purpose of the Study:

  • To introduce Simphony, an R package designed for simulating large-scale, multi-condition, multi-time-point rhythmic and non-rhythmic biological data.
  • To provide a general-purpose tool for researchers to generate realistic simulated datasets for method evaluation.

Main Methods:

  • Simphony simulates data with specified experimental designs, including rhythmic properties like amplitude and phase for individual features (e.g., genes).
  • The package supports data generation from Gaussian and negative binomial distributions, accommodating RNA-seq count approximations.

Main Results:

  • Demonstrated Simphony's utility in an example evaluating the accuracy of rhythm detection algorithms.
  • The simulation results highlight Simphony's capability to generate diverse and complex biological datasets.

Conclusions:

  • Simphony offers a valuable resource for advancing computational method development in the analysis of rhythmic biological data.
  • The package is expected to significantly aid in experimental design and the validation of bioinformatics tools.