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Updated: Jul 28, 2026

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
Analysis of human mRNAs with the reference genome sequence reveals potential errors, polymorphisms, and RNA editing
Terrence S Furey1, Mark Diekhans, Yontao Lu
1Center for Biomolecular Science and Engineering, Department of Computer Science, University of California, Santa Cruz, Santa Cruz, California 95064, USA. booch@cse.ucsc.edu
Genome Research
|October 19, 2004
Summary
Human genome sequencing reveals thousands of discrepancies with existing mRNA collections. The genome sequence appears more accurate, suggesting potential errors in mRNA data that require reconciliation.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- The NCBI Reference Sequence (RefSeq) and NIH Mammalian Gene Collection (MGC) provide human mRNA sequences.
- These sequences are widely accepted as accurate gene representations.
Purpose of the Study:
- To computationally compare human mRNA sequences with the human genome sequence.
- To identify and analyze discrepancies between these two critical resources.
Main Methods:
- Comparative analysis of mRNA sequences against the human genome sequence.
- Verification of discrepancies using additional mRNA and EST data.
- Screening against a human genomic DNA diversity panel.
Main Results:
- Several thousand discrepancies (substitutions, frame shifts) were found between mRNA and genome sequences.
- Genome sequence variants had stronger supporting evidence than mRNA variants.
- 60% of potential SNPs were verified, and evidence for RNA editing was found.
Conclusions:
- The human genome sequence appears more accurate than current mRNA collections.
- Discrepancies may represent polymorphisms, RNA editing, or somatic variations.
- Future mRNA collections should reconcile all genome sequence variations to ensure accuracy.
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