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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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Next-generation Sequencing

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RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
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Related Experiment Video

Updated: May 28, 2026

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling
08:04

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling

Published on: October 8, 2019

Automatic generation of randomized trial sequences for priming experiments.

Matthias Ihrke1, Jörg Behrendt

  • 1Department for Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization Göttingen, Germany.

Frontiers in Psychology
|October 19, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces software for creating optimized trial sequences in psychological experiments, particularly for priming paradigms. The tool uses genetic algorithms to ensure valid and reliable experimental results.

Keywords:
negative primingprimingrandomizationtrial sequences

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Area of Science:

  • Psychology
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Randomized trial presentation is vital for psychological experiment validity.
  • Interdependent trials, common in priming paradigms, complicate randomization.
  • Existing methods may not adequately optimize trial sequences for complex designs.

Purpose of the Study:

  • To present novel software for automatically generating optimized trial sequences.
  • To address the challenge of randomizing interdependent trials in (negative-) priming experiments.
  • To provide researchers with an intuitive and interactive tool for trial sequence generation.

Main Methods:

  • The software employs genetic algorithms, an optimization heuristic inspired by natural evolution.
  • It features a graphical user interface (GUI) for user interaction and sequence refinement.
  • The implementation is based on freely available open-source software.

Main Results:

  • The software successfully generates optimized trial sequences for (negative-) priming experiments.
  • The genetic algorithm approach provides an interpretable method for sequence optimization.
  • The GUI facilitates user control and iterative improvement of trial sequences.

Conclusions:

  • The developed software offers a valuable solution for researchers conducting priming experiments.
  • It enhances the validity and reliability of psychological research through optimized trial randomization.
  • The open-source nature and intuitive interface promote accessibility and adoption in the research community.