Predicting High/Low mRNA expression of a monocot plant gene

Input DNA Sequence :
from Screen:

from DB: Bases Available:
from File:
File formats here.

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Expert Weights (0-10 are valid)
1.    Translation INCREASES with DECREASING the Leader length
2.  Translation INCREASES with DECREASING [T] content
3.  Translation INCREASES with DECREASING [AUG]:[-AUG] disbalance
4.  Translation INCREASES with INCREASING [A]:[T] ratio
5.  Translation INCREASES with INCREASING [AUG]:[-AUG] ratio
6.  Translation INCREASES with DECREASING [A]:[T] disbalace
7.  Translation INCREASES with DECREASING [AUG] content
8.  Translation INCREASES with DECREASING [AUG] framed
9.  Translation INCREASES with DECREASING [AUG] optimized
10. Translation INCREASES depends on the "-3 position" rule
11. Translation INCREASES with DECREASING [AUG] "-3"-ruled
12. Translation INCREASES with DECREASING [K] content of [-17;-1]
13. Translation INCREASES with DECREASING [KB] content of [-17;-1]
14. Translation INCREASES with INCREASING High-consensus matches
15. Translation INCREASES with DECREASING Low-consensus matches
16. Translation INCREASES with INCREASING High-ShortFreqMatr
17. Translation INCREASES with INCREASING High/Low 1bp-FreqRatio
18. Translation INCREASES with INCREASING High/Low 1bp(KM)-FreqRatio
19. Translation INCREASES with INCREASING High/Low 2bp(KM)-FreqRatio
20. Translation INCREASES with INCREASING High/Low 3bp(KxM)-FreqRatio
Prediction will be the mean value of the Expert estimates with their weights


ICG_LOGO.GIF (658 bytes)Molecular Biological Server

This resource has been developed in the Institute of Cytology and Genetics, Novosibirsk, Russia

Author AV.Kochetov
Contributors:Misha Ponomarenko, Anatoly Frolov,
Leader: Nikolay A. Kolchanov

Collaboration: L.L. Kisselev (Moscow)