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

Data Collection by Experiments01:13

Data Collection by Experiments

27.5K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
27.5K
Design Example: Setting a Curve Using Design Data01:09

Design Example: Setting a Curve Using Design Data

239
Designing and plotting a curve using field data requires precise calculations and execution. A horizontal curve with a radius of 200 meters and an intersection angle of 20 degrees is established using the method of perpendicular offsets from the long chord. The long chord, which spans between the curve's endpoints, is calculated to be 69.46 meters in length. To maintain accuracy in plotting, intervals of 3 meters are selected along the chord.The engineer determines the offset distances for each...
239
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

793
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
793
Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

9.6K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
9.6K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.8K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Endocytosis of the Saccharomyces cerevisiae Jen1 monocarboxylate-proton symporter under mildly alkaline conditions: a mechanism to prevent metabolite loss?

Microbial cell factories·2026
Same author

Physiological relevance, localization and substrate specificity of the alternative (type II) mitochondrial NADH dehydrogenases of <i>Ogataea parapolymorpha</i>.

Frontiers in microbiology·2024
Same author

Specific growth rates and growth stoichiometries of Saccharomycotina yeasts on ethanol as sole carbon and energy substrate.

FEMS yeast research·2024
Same author

Optimizing the balance between heterologous acetate- and CO2-reduction pathways in anaerobic cultures of Saccharomyces cerevisiae strains engineered for low-glycerol production.

FEMS yeast research·2023
Same author

Co-cultivation of Saccharomyces cerevisiae strains combines advantages of different metabolic engineering strategies for improved ethanol yield.

Metabolic engineering·2023
Same author

Engineering of thioesterase YciA from Haemophilus influenzae for production of carboxylic acids.

Applied microbiology and biotechnology·2023

Related Experiment Video

Updated: Feb 4, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.2K

Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics.

Hannes Juergens1, Matthijs Niemeijer1, Laura D Jennings-Antipov2

  • 1Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.

Scientific Data
|October 4, 2018
PubMed
Summary
This summary is machine-generated.

A new cloud-based software system enables precise, machine-readable definitions of experimental procedures, improving scientific data contextualization and reproducibility. This system enhances the sharing and reuse of research protocols and data.

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
An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
11:09

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

18.2K

Related Experiment Videos

Last Updated: Feb 4, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.2K
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
An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
11:09

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

18.2K

Area of Science:

  • Computational Biology
  • Biotechnology
  • Scientific Software Development

Background:

  • Traditional scientific data sharing lacks precise experimental procedure definitions, hindering data contextualization and reproducibility.
  • Current methods for sharing protocols and data are insufficient for the demands of open science.

Purpose of the Study:

  • To implement and evaluate a novel cloud-based software system for defining experimental procedures in an academic research setting.
  • To enhance data contextualization and promote reproducibility through machine-computable experiment descriptions.

Main Methods:

  • Development and implementation of a cloud-based software system for systematic, visual definition of experimental procedures.
  • Acquisition and analysis of primary data, linked to procedure definitions in a machine-computable format.
  • Testing the software on quantitative microbial-physiology experiments.

Main Results:

  • The software enabled more precise and unambiguous experimental definitions compared to conventional protocols.
  • Defined procedures were reusable and composable into complex experimental workflows.
  • Automatic coupling of procedure definitions to data facilitated correlation analysis between procedural details and experimental outcomes.

Conclusions:

  • Software-based experiment descriptions can replace ambiguous "Materials and Methods" sections in scientific publications.
  • This approach significantly promotes the reproducibility and reusability of scientific studies.
  • The system offers a pathway to more robust and transparent scientific research.