UASMAs (Universal Automated SNP Mapping Algorithms): a set of algorithms to instantaneously map SNPs in real time to aid functional SNP discovery
Summary: Proposes UASMAs, a set of real-time SNP-mapping algorithms that instantly align new variants to chromosomal coordinates for automatic central SNP DB deposition. Integrating Bowtie, BWA and related aligners, it outperforms BLAST on longer reads in recall and precision, delivering fast, accurate, unambiguous SNP entries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. James T.L. Mah
- 2. Danny C.C. Poo
- 3. Shaojiang Cai
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next