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Published on: September 11, 2017
Colocalization analyses of genomic elements: approaches, recommendations and challenges.
Chakravarthi Kanduri1,2, Christoph Bock3,4,5, Sveinung Gundersen1,6
1Department of Informatics, University of Oslo, Oslo, Norway.
Genomic colocalization analysis standardizes interpretation of genomic region sets. This study provides recommendations and discusses challenges for robust biological insights from high-throughput data.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- High-throughput methods generate genomic region sets.
- Genomic colocalization analysis interprets these sets to understand biological processes.
- Current practices lack standardization, impacting analysis conclusions.
Purpose of the Study:
- To describe various genomic colocalization analysis approaches.
- To provide recommendations for performing these analyses.
- To discuss methodological challenges and their influence on results.
Main Methods:
- Review of existing genomic colocalization analysis methodologies.
- Identification and discussion of common analytical challenges.
- Illustrative case studies demonstrating analysis details.
Main Results:
- Lack of standardization in genomic colocalization analysis is highlighted.
- Recommendations are provided for robust analysis.
- Methodological challenges that affect conclusions are discussed.
Conclusions:
- Careful attention to analysis details is crucial for meaningful interpretation.
- Robust genomic colocalization analysis yields biologically meaningful insights.
- Standardized approaches enhance the reliability of genomic region set interpretation.
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