Name
Abstract | ||
|---|---|---|
Sum: Dragon Promoter Finder (DPF) locates RNA polymerase 11 promoters in DNA sequences of vertebrates by predicting Transcription Start Site (TSS) positions. DPF's algorithm uses sensors for three functional regions (promoters, exons and introns) and an Artificial Neural Network (ANN). Results on a large and diverse evaluation set indicate that DPF exhibits a superior predicting ability for TSS location compared to three other promoter-finding programs. Availability: http://sdmc.krdl.org.sg:8080/promoter/ Contact: bajicv@krdl.org.sg. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1093/bioinformatics/18.1.198 | BIOINFORMATICS |
Keywords | Field | DocType |
transcription start site,rna polymerase ii,dna sequence,artificial neural network | Promoter,Transcription factor II D,Transcription (biology),Biology,Exon,Vertebrate,DNA sequencing,Bioinformatics,Genetics,RNA polymerase II | Journal |
Volume | Issue | ISSN |
18 | 1 | 1367-4803 |
Citations | PageRank | References |
27 | 2.16 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir B. Bajic | 1 | 321 | 33.71 |
| S H Seah | 2 | 79 | 10.51 |
| Allen Chong | 3 | 65 | 7.96 |
| G.L. Zhang | 4 | 208 | 16.91 |
| J L Koh | 5 | 110 | 14.39 |
| Vladimir Brusic | 6 | 551 | 63.37 |