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

Introduction to Normal Distributions01:29

Introduction to Normal Distributions

75
Standardized test scores often follow a symmetric distribution that can be modeled with the normal distribution, a fundamental concept in statistics. This distribution is particularly useful for interpreting test performance fairly across populations, as it provides a mathematical framework for understanding variability and central tendency in large datasets.From Histogram to Frequency DistributionRaw test data are often displayed using histograms, where the height of each bar represents the...
75
Psychology as a Science01:13

Psychology as a Science

3.9K
Psychology, as a scientific discipline, aims to understand the mind and behavior through rigorous and systematic methods. The foundation of psychological research is evidence-based, relying heavily on the scientific method to derive and validate knowledge. This structured approach ensures that findings are reliable, valid, and applicable to broader contexts.
The scientific method in psychology involves six critical steps: making observations, formulating hypotheses, conducting tests, analyzing...
3.9K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

5.3K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
5.3K
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

1.3K
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
1.3K
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

7.5K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.5K
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

28.3K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
28.3K

You might also read

Related Articles

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

Sort by
Same author

A New Era of Collaborative MODFLOW Development.

Ground water·2026
Same author

Multi-Objective Optimization of a Hydro-Economic Model in an Over-Allocated Agricultural Basin.

Ground water·2026
Same author

Teach Me How to PyCap: A High-Capacity Well Decision Support Tool Using Analytical Solutions in Python.

Ground water·2026
Same author

PEST++IES How Many Iterations and Realizations, Finding the Point of Diminishing Returns.

Ground water·2025
Same author

Parameter ESTimation With the Gauss-Levenberg-Marquardt Algorithm: An Intuitive Guide.

Ground water·2024
Same author

Evaluation of an Impulse-Response Emulator for Groundwater Contaminant Transport Modeling.

Ground water·2024

Related Experiment Video

Updated: Feb 4, 2026

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
05:45

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Published on: January 7, 2019

12.2K

Wrangling distributed computing for high-throughput environmental science: An introduction to HTCondor.

Richard A Erickson1, Michael N Fienen2, S Grace McCalla1

  • 1Upper Midwest Environmental Sciences Center, United States Geological Survey, La Crosse, Wisconsin, United States of America.

Plos Computational Biology
|October 4, 2018
PubMed
Summary

High-throughput computing (HTC) offers a scalable solution for computationally intensive research in biology and environmental science. This approach distributes tasks across multiple computers, overcoming limitations of traditional methods.

More Related Videos

High-Throughput Measurement and Classification of Organic P in Environmental Samples
08:58

High-Throughput Measurement and Classification of Organic P in Environmental Samples

Published on: June 8, 2011

13.4K
Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

4.6K

Related Experiment Videos

Last Updated: Feb 4, 2026

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
05:45

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Published on: January 7, 2019

12.2K
High-Throughput Measurement and Classification of Organic P in Environmental Samples
08:58

High-Throughput Measurement and Classification of Organic P in Environmental Samples

Published on: June 8, 2011

13.4K
Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

4.6K

Area of Science:

  • Computational biology
  • Environmental science
  • Data science

Background:

  • Modern biological and environmental research involves complex computational tasks like geospatial data processing, omics analysis, and large-scale simulations.
  • Conventional desktop computing and sometimes high-performance computing (HPC) are insufficient or inappropriate for these demanding problems.

Purpose of the Study:

  • To introduce high-throughput computing (HTC) as a viable alternative for computationally intensive research in biology and environmental science.
  • To demonstrate the application of HTC using the open-source HTCondor system with practical examples.

Main Methods:

  • High-throughput computing (HTC) distributes computational tasks across numerous distributed resources (e.g., desktop computers, servers, cloud).
  • Contrasts HTC with high-performance computing (HPC), highlighting HTC's distributed nature versus HPC's single supercomputer approach.
  • Utilizes HTCondor, an open-source HTC system, for practical examples in biology and environmental science.

Main Results:

  • HTC provides a flexible and accessible method for tackling large-scale computational challenges in scientific research.
  • Availability of HTC through academic/government facilities, consortia (e.g., Open Science Grid), and commercial cloud solutions facilitates adoption.
  • HTCondor serves as an effective open-source tool for implementing HTC strategies.

Conclusions:

  • HTC is a powerful and accessible computing paradigm for biologists and environmental scientists facing significant computational demands.
  • Researchers can leverage existing infrastructure or readily available solutions to implement HTC for their studies.
  • The adoption of HTC, exemplified by HTCondor, empowers scientific discovery through efficient data processing and simulation.