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Related Concept Videos

Transcription Factors02:16

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Transcription Factors02:16

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form dimers that...
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form dimers that...
General Transcription Factors01:30

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

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Updated: Jun 14, 2026

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis
12:29

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis

Published on: April 16, 2018

SEMPLR: an R package for transcription factor binding prediction.

Grace E Kenney1, Rintsen N Sherpa2, Jeremy D Burgess3

  • 1Curriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC 27599, United States.

Bioinformatics (Oxford, England)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

SEMPLR is a new R package for analyzing regulatory sequences. It efficiently predicts transcription factor binding and variant effects using SNP Effect Matrices (SEMs) for genome-wide analysis.

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Last Updated: Jun 14, 2026

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis
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PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins

Published on: July 2, 2010

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Regulatory sequences play a crucial role in gene expression.
  • Predicting transcription factor binding and variant effects is essential for understanding gene regulation.
  • Existing tools may lack efficiency or comprehensive analysis capabilities for genome-wide studies.

Purpose of the Study:

  • To introduce SEMPLR, an R package designed for the analysis of regulatory sequences.
  • To provide efficient tools for predicting transcription factor binding and variant effects.
  • To facilitate comprehensive genome-wide analysis of regulatory elements.

Main Methods:

  • Utilizes SNP Effect Matrices (SEMs) for predicting regulatory element function.
  • Implements efficient genome-wide scoring algorithms.
  • Incorporates enrichment testing and visualization tools.

Main Results:

  • SEMPLR enables accurate prediction of transcription factor binding.
  • The package effectively assesses the impact of genetic variants on regulatory sequences.
  • Provides efficient tools for large-scale genomic analyses.

Conclusions:

  • SEMPLR is a valuable R package for researchers studying gene regulation.
  • It offers efficient and comprehensive tools for analyzing transcription factor binding and variant effects.
  • Facilitates deeper understanding of regulatory sequences through genome-wide analysis.