SNP-PHAGE – High throughput SNP discovery pipeline
2006

SNP-PHAGE: A Tool for Discovering SNPs

Sample size: 10000 publication Evidence: high

Author Information

Author(s): Matukumalli Lakshmi K, Grefenstette John J, Hyten David L, Choi Ik-Young, Cregan Perry B, Van Tassell Curtis P

Primary Institution: US Department of Agriculture, ARS, Beltsville Agricultural Research Center

Hypothesis

Can we develop an integrated open source SNP discovery pipeline that is user-friendly and adaptable for new groups?

Conclusion

SNP-PHAGE provides a comprehensive solution for high throughput SNP discovery and analysis.

Supporting Evidence

  • SNP-PHAGE discovered over 10,000 SNPs from diverse soybean genotypes.
  • The software integrates machine learning to enhance SNP discovery efficiency by 85%.
  • It provides a user-friendly web interface for SNP analysis and validation.

Takeaway

SNP-PHAGE is a software that helps scientists find tiny changes in DNA quickly and easily.

Methodology

The SNP-PHAGE software pipeline was developed using Perl and operates on UNIX/Linux, integrating various bioinformatics tools for SNP analysis.

Limitations

The software currently has limitations in visualizing underlying trace files for heterozygous SNPs.

Digital Object Identifier (DOI)

10.1186/1471-2105-7-468

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