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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
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From the phenotype to the genotype via bioinformatics
1Faculty of Veterinary Science, University of Sydney, Sydney, NSW, 2006, Australia.
Methods in Molecular Biology (Clifton, N.J.)
|May 30, 2014
Summary
Identifying causal variants for observed traits in mammals is complex. This study reviews common bioinformatics practices and resources needed to bridge this gap, aiding biological discovery.
Area of Science:
- Genomics
- Bioinformatics
- Mammalian Biology
Background:
- Identifying the genetic basis of traits is crucial for biological understanding.
- Transitioning from trait observation to causal variant identification presents significant bioinformatics challenges.
- Availability of high-quality reference genomes and associated data is essential for variant discovery.
Purpose of the Study:
- To outline common bioinformatics approaches for discovering causal variants underlying observed traits in mammals.
- To highlight the importance of reference genome resources in genetic studies.
- To provide a practical overview for researchers in mammalian genetics.
Main Methods:
- Review of established bioinformatics pipelines for variant identification.
- Discussion of data requirements, including reference genome sequences.
- Exploration of strategies for linking observed traits to genetic variants.
Main Results:
- Common bioinformatics workflows for trait-to-variant mapping were identified.
- The critical role of comprehensive genomic resources was emphasized.
- Practical considerations for implementing these methods in mammalian systems were discussed.
Conclusions:
- Successful causal variant discovery relies on a combination of robust bioinformatics methods and adequate genomic resources.
- Standardized approaches can accelerate the understanding of trait biology in mammals.
- Further development of genomic resources will enhance the power of these discovery methods.
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