Abstract | ||
---|---|---|
We present DETECT v2-an enzyme annotation tool which considers the effect of sequence diversity when assigning enzymatic function [as an Enzyme Commission (EC) number] to a protein sequence. In addition to capturing more enzyme classes than the previous version, we now provide EC-specific cutoffs that greatly increase precision and recall of assignments and show its performance in the context of pathways. Availability and implementation: https://github. com/ParkinsonLab/DETECT-v2 |
Year | DOI | Venue |
---|---|---|
2018 | 10.1093/bioinformatics/bty368 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Annotation,Computer science | Journal | 34 |
Issue | ISSN | Citations |
19 | 1367-4803 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nirvana Nursimulu | 1 | 0 | 0.34 |
Leon L. Xu | 2 | 0 | 0.34 |
James Wasmuth | 3 | 64 | 3.65 |
Ivan Krukov | 4 | 0 | 0.34 |
John Parkinson | 5 | 0 | 0.68 |