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Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
Schemas01:42

Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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 values—of a sample...
Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...

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Updated: Jun 5, 2026

Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Published on: December 25, 2021

PRIDEViewer: a novel user-friendly interface to visualize PRIDE XML files.

J Alberto Medina-Aunon1, José M Carazo, Juan Pablo Albar

  • 1Proteomics Facility, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.

Proteomics
|January 5, 2011
PubMed
Summary

Proteomics data sharing is improved with PRIDE (PRoteomics IDEntification database). A new Java application, PRIDEViewer, makes this complex data user-friendly for researchers.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Proteomics

Background:

  • Standardization initiatives enhance data sharing in proteomics.
  • The PRoteomics IDEntification database (PRIDE) is an XML-based repository for proteomics data.
  • XML formats can be challenging for direct user interaction and data interpretation.

Purpose of the Study:

  • To develop a user-friendly application for accessing and visualizing PRIDE XML data.
  • To facilitate the understanding and evaluation of proteomics experimental information.

Main Methods:

  • Development of a novel Java-based application named PRIDEViewer.
  • Parsing and presentation of data from PRIDE XML files.

Main Results:

  • PRIDEViewer provides a user-friendly interface for PRIDE data.
  • The application enhances interaction and comprehension of proteomics information.
  • Freely available tool at http://proteo.cnb.csic.es/prideviewer/.

Conclusions:

  • PRIDEViewer simplifies access to complex proteomics data.
  • The tool supports researchers in analyzing and evaluating proteomics experiment results.
  • Improved usability of proteomics data repositories through dedicated applications.