Abstract | ||
---|---|---|
An algorithm and software are described that provide a fast method to produce a novel, function-oriented visualization of the results of a sequence database search. Text mining of sequence annotations allows position specific plots of potential functional similarity to be compared in a simple compact representation. |
Year | DOI | Venue |
---|---|---|
2003 | 10.1093/bioinformatics/btg116 | BIOINFORMATICS |
Keywords | Field | DocType |
text mining,database search | Data mining,Text mining,Sequence database,Information retrieval,Visualization,Computer science,Database search engine,Software,Web server | Journal |
Volume | Issue | ISSN |
19 | 8.0 | 1367-4803 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
David M A Martin | 1 | 378 | 26.55 |
Pamela Hill | 2 | 0 | 0.34 |
Geoffrey J. Barton | 3 | 1039 | 84.08 |
Andrew J Flavell | 4 | 8 | 1.31 |