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How to verify gene model annotations?

Learn to verify gene model annotations through biological review, evidence collection, comparative genomics, computational tools, manual curation, experimental validation, and documentation.

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How to verify gene model annotations?

 

Understand Gene Models

 

  • Review the biological context of the gene and its family to predict possible gene structure complexity.
  •  

  • Understand the organism's genome annotation history which can suggest common annotation issues in specific genomes.

 

Collect Supporting Evidence

 

  • Compile RNA-Seq data for transcript evidence supporting the gene model prediction.
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  • Gather EST (Expressed Sequence Tag) data to validate regions of transcription.
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  • Use protein alignment data to check if predicted exons align well with known protein sequences.

 

Use Comparative Genomics

 

  • Identify orthologous genes in related species and analyze conserved regions to infer possible exon-intron structures.
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  • Compare synteny blocks to preserve gene order and orientation, validating gene model consistency across species.

 

Employ Computational Tools

 

  • Use gene prediction software tools like Augustus or GeneMark to provide independent verification of the gene model.
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  • Deploy splice site prediction tools to review the accuracy of intron-exon boundaries.

 

Manually Curate Annotations

 

  • Manually inspect gene models in genome browsers like UCSC Genome Browser or Ensembl to visually confirm exon structures and transcript alignment.
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  • Refine models to resolve discrepancies using supporting evidence gathered from experimental data and comparative analysis.

 

Validate with Experimental Data

 

  • Use RT-PCR analysis to experimentally validate predicted exon combinations and intron boundaries.
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  • Perform CRISPR/Cas9 gene editing to confirm functional relevance of predicted gene models by observing phenotypic consequences of edits.

 

Document Findings

 

  • Record all annotation decisions, including the data sources and rationale used in adjustments, for tractability and future reference.
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  • Update public databases or report findings to genome annotation community to enhance collective data accuracy.

 

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