Finding short DNA motifs using permuted Markov models
Details
Publication Year 2005-07,Volume 12,Issue #6,Page 894-906
Journal Title
JOURNAL OF COMPUTATIONAL BIOLOGY
Publication Type
Journal Article
Abstract
Many short DNA motifs, such as transcription factor binding sites (TFBS) and splice sites, exhibit strong local as well as nonlocal dependence. We introduce permuted variable length Markov models (PVLMM) which could capture the potentially important dependencies among positions and apply them to the problem of detecting splice and TFB sites. They have been satisfactory from the viewpoint of prediction performance and also give ready biological interpretations of the sequence dependence observed. The issue of model selection is also studied.
Publisher
MARY ANN LIEBERT INC
Keywords
SPLICE SITES; IDENTIFICATION; SEQUENCES; ALIGNMENT; SIGNALS; PREDICTION; GENES
Terms of Use/Rights Notice
Refer to copyright notice on published article.


Creation Date: 2005-07-01 12:00:00
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