Improving Genome Assemblies with Non-Sequence Data
Author Information
Author(s): Heider Thomas N, Lindsay James, Wang Chenwei, O’Neill Rachel J, Pask Andrew J
Primary Institution: University of Connecticut
Hypothesis
Can integrating non-sequence based data enhance the genome assembly of the tammar wallaby?
Conclusion
Integrating non-sequence based data into the genome assembly pipeline significantly improved the N50 size of the tammar wallaby genome.
Supporting Evidence
- Using map data alone, 2.2% of initial contigs were ordered into scaffolds.
- With only sequence data, 53% of initial contigs were assigned to scaffolds.
- Combining both data sets increased the number of contigs in scaffolds to 55%.
Takeaway
This study shows that using both sequence and non-sequence data can make a better picture of the tammar wallaby's genome, helping scientists understand it more clearly.
Methodology
The study used a custom Bioperl pipeline to align map data to assembled tammar wallaby contigs and combined it with sequence data to enhance genome assembly.
Limitations
The map data contributed minimally to the number of initial contigs scaffolded, despite improving the N50 size significantly.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website