Name
Abstract | ||
|---|---|---|
Multiple sequence alignments (MSA) are widely used in sequence analysis for a variety of tasks. Outlier sequences can make downstream analyses unreliable or make the alignments less accurate while they are being constructed. This paper describes a simple method for automatically detecting outliers and accompanying software called OD-seq. It is based on finding sequences whose average distance to the rest of the sequences in a dataset, is anomalous. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s12859-015-0702-1 | BMC Bioinformatics |
Keywords | Field | DocType |
Outlier, Multiple sequence alignment | Anomaly detection,Bootstrapping,Computer science,Outlier,Software,Test case,Distance matrix,Bioinformatics,Multiple sequence alignment,Sequence analysis | Journal |
Volume | Issue | ISSN |
16 | 1 | 1471-2105 |
Citations | PageRank | References |
3 | 0.42 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Jehl | 1 | 49 | 2.73 |
| Fabian Sievers | 2 | 78 | 5.49 |
| Desmond G. Higgins | 3 | 1263 | 383.91 |