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the claim
A DNA sequence motif is defined by a statistically significant recurrence of a specific nucleotide pattern
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
4 sources for · 0 against

DNA sequence motifs are reliably defined in bioinformatics as recurrent nucleotide patterns identified through statistical significance testing.

Evidence for · 4
Basic local alignment search tool.
1990 · cited by 94,934
Paper [0] notes that sequence database searches rely on motif searches where specific nucleotide patterns are evaluated for statistical significance.
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The analysis

The retrieved literature consistently supports the definition of a DNA sequence motif as a recurrent nucleotide pattern identified through statistical significance. Papers [0], [1], [3], and [7] all explicitly describe motif discovery and identification in terms of recurrent sequence patterns and statistical significance tests. There are no refuting papers.

More for · 3
Identification of a novel cis-regulatory element involved in the heat shock response in Caenorhabditis elegans using microarray gene expression and computational methods.
2002 · cited by 308
Paper [1] demonstrates the identification of cis-regulatory DNA motifs by analyzing recurring nucleotide patterns and determining their statistical significance.
Identification of upstream transcription factor binding sites in orthologous genes using mixed Student’s t-test statistics
2021 · cited by 8
Paper [3] discusses computational tools that identify upstream sequence motifs by detecting statistically significant patterns in transcription factor binding sites.
ShapeME: A Tool and Web Front-end for De Novo Discovery of Structural Motifs Underpinning Protein-DNA Interactions.
2026 · cited by 1
Paper [7] describes how DNA sequence motifs and structural motifs are discovered through statistically sound evaluation of recurrent nucleotide patterns.
The paper trail · every fact has a biography
first checked04 Aug 2026
judged → SUPPORTED · 10004 Aug 2026
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