Transcription regulatory region analysis using signal detection and fuzzy clustering.
BACKGROUND
Presently available programs for the recognition of potential transcription factor binding sites in genomic sequences generally yield a huge amount of output. These output lists have to be filtered to obtain biologically significant elements, which is highly laborious work to be done manually.


RESULTS
We developed a strategy for systematic verification and improvement of the underlying profiles, and for their contextual analysis by a fuzzy clustering approach using non-redundant libraries of search profiles as a prerequisite.


BACKGROUND
The tools mentioned in the paper are available upon request.


BACKGROUND
ewi@gbf.de
Pickert
L
L
Gesellschaft für Biotechnologische Forschung mbH, Mascheroder Weg 1, D-38124 Braunschweig, Germany.
Reuter
I
I
Klawonn
F
F
Wingender
E
E
D000465:Algorithms; D001665:Binding Sites / Q000235:genetics; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D019992:Databases as Topic; D005189:False Positive Reactions; D017143:Fuzzy Logic; D008957:Models, Genetic; D011485:Protein Binding / Q000235:genetics; D012045:Regulatory Sequences, Nucleic Acid / Q000235:genetics*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D012986:Software Validation; D014157:Transcription Factors / Q000235:genetics / Q000378:metabolism; D014158:Transcription, Genetic
D014157:Transcription Factors