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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

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Published on: May 31, 2011

Biological sequence motif discovery using motif-x.

Michael F Chou1, Daniel Schwartz2

  • 1Department of Genetics, Harvard Medical School, Boston, Massachusetts.

Current Protocols in Bioinformatics
|September 9, 2011
PubMed
Summary

The motif-x program efficiently extracts significant biological motifs from large datasets, like post-translational modification data. This web-based tool offers a user-friendly interface for rapid analysis and motif discovery.

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Last Updated: May 29, 2026

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Published on: May 31, 2011

Novel Sequence Discovery by Subtractive Genomics
09:40

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Published on: January 25, 2019

The ITS2 Database
16:17

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Published on: March 12, 2012

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • Identifying recurring patterns (motifs) in biological data is crucial for understanding protein function and post-translational modifications.
  • Existing methods for motif discovery can be computationally intensive and require specialized software.
  • There is a need for accessible tools to analyze large-scale biological datasets for motif extraction.

Purpose of the Study:

  • To introduce motif-x, a web-based program for extracting statistically significant motifs.
  • To provide a user-friendly interface for analyzing large biological datasets.
  • To demonstrate the utility of motif-x in common research scenarios.

Main Methods:

  • motif-x utilizes a web-based interface for data submission and results retrieval.
  • Data analysis is performed on a high-speed computer cluster for rapid processing.
  • The program extracts both syntactic and image-based motif results, along with statistical measures.

Main Results:

  • motif-x successfully extracts statistically significant motifs from large datasets.
  • The program handles diverse data types, including MS/MS post-translational modification data and protein groups.
  • Analysis is rapid, producing comprehensive motif results and statistics.

Conclusions:

  • motif-x offers an efficient and accessible solution for motif discovery in large biological datasets.
  • The web-based nature of motif-x democratizes access to powerful motif analysis tools.
  • The program facilitates the identification of functional patterns in proteomics and other biological data.