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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Related Experiment Video

Updated: Feb 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Gene Regulatory Network Inference: An Introductory Survey.

Vân Anh Huynh-Thu1, Guido Sanguinetti2

  • 1Department of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium.

Methods in Molecular Biology (Clifton, N.J.)
|December 15, 2018
PubMed
Summary

This chapter introduces gene regulatory network inference, a key computational challenge in systems biology. It covers foundational concepts and categorizes tools for reconstructing these biological networks.

Keywords:
Data-driven methodsDynamical modelsGene regulatory networksNetwork inferenceNetwork reverse-engineeringProbabilistic modelsUnsupervised inference

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Genomics

Background:

  • Gene regulatory networks (GRNs) are fundamental to understanding biological systems.
  • Reconstructing GRN structure is a major computational problem in systems biology, driven by high-throughput data since the late 1990s.

Discussion:

  • This chapter provides an introduction to network inference tools.
  • It categorizes these tools, highlighting their commonalities and relative strengths.
  • The material serves as a self-contained background for specialized topics.

Key Insights:

  • Significant progress has been made in developing mature network inference tools over the past two decades.
  • Understanding the basic concepts of network inference is crucial for systems biology research.
  • Categorization of tools aids in selecting appropriate methods for GRN reconstruction.

Outlook:

  • Further advancements in computational methods are expected to refine GRN inference.
  • The integration of diverse biological data types will enhance network reconstruction accuracy.
  • This foundational knowledge supports future research in complex biological systems.