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

Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

4.4K
When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
4.4K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

2.9K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
2.9K
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

5.1K
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
5.1K
Drug Discovery: Overview01:26

Drug Discovery: Overview

10.3K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
10.3K
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

714
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
714
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.9K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Proteomic Snapshots of Structural Cross-Linking Rearrangements in Ca<sup>2<b>+</b></sup>/Calmodulin-Dependent Kinase-1-Delta Associated with Its Regulation by ATP, Ca<sup>2<b>+</b></sup>/Calmodulin, and Reduction Potential.

Journal of proteome research·2026
Same author

Proteomics Using Draft Genomes: A Case Study in Spotted Hyena.

Journal of proteome research·2026
Same author

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.

Cell·2025
Same author

mzPeak: Designing a Scalable, Interoperable, and Future-Ready Mass Spectrometry Data Format.

Journal of proteome research·2025
Same author

Exploring the female genital tract mycobiome in young South African women using metaproteomics.

Microbiome·2025
Same author

Proteomic dataset of sorghum leaf and root responses to single and combined drought and heat stress.

Scientific data·2025

Related Experiment Video

Updated: Apr 28, 2026

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

39.8K

What's driving false discovery rates?

David L Tabb1

  • 1Department of Biomedical Informatics and Biochemistry, Vanderbilt University, Nashville, Tennessee 37232-8575, USA. david.l.tabb@vanderbilt.edu

Journal of Proteome Research
|December 18, 2007
PubMed
Summary
This summary is machine-generated.

Standardizing proteomics reporting with the Paris Guidelines and new bioinformatics tools is crucial. Consensus on error rate estimation is needed as biology researchers increasingly use proteomics technologies.

More Related Videos

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

8.9K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.1K

Related Experiment Videos

Last Updated: Apr 28, 2026

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

39.8K
Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

8.9K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.1K

Area of Science:

  • Proteomics
  • Bioinformatics

Background:

  • The field of proteomics is rapidly evolving.
  • Standardized reporting is essential for robust scientific communication.

Purpose of the Study:

  • To discuss advances in proteomics reporting standards.
  • To highlight the need for consensus in error rate estimation.

Main Methods:

  • Review of the "Paris Guidelines" for proteomics reporting.
  • Examination of new bioinformatics tools for error rate estimation.

Main Results:

  • The Paris Guidelines initiate standardization in proteomics.
  • Bioinformatics tools enhance peptide identification error rate assessment.

Conclusions:

  • Standardized error estimation is vital as proteomics adoption grows among biologists.
  • Advancements in reporting reflect the increasing impact of proteomics technologies.