In summary, these experimental data suggest the existence of molecular mechanisms that do not follow conventional notion of splice site selection in plant AS and indicate the involvement of the noncanonical splicing and splicing-like events in plant stress responses.
A. S. Dubrovina et al. review recent data on alternative splicing in plant genes involved in stress signaling; in particular the authors focus on the occurrence, properties, and functional consequences of unconventional splicing and splicing-like events in plants.
The purpose of this paper is to put together the recent data on AS of plant genes involved in stress signaling and focus on the occurrence, properties, and functional consequences of unconventional splicing and splicing-like events in plants.
The splice-like point in mode converters is found unnecessary for mode conversion; however, two different and separated cores, the adiabatic transitional part and the final merged core, are essential.
These sites are called splice-like signals and they outnumber the real sites by several orders of magnitude.
Many applications tend to produce multimodal score distributions for the splice and splice-like signals, which causes ROC curves jitter.
The last term of (4) is the LOD ratio of the prior probabilities of the Splice versus Splice-like signals, obtained with the Bayesian sensor.
We use a simpler sensor design based on 7-mer oligonucleotide counting (16,384 possible oligos) in splice and splice-like signals.
Because of the simple sensor structure we can combine very large numbers of splice and splice-like signals in the learning set without a dramatic learning time increase, which substantially improves sensor performance [see Subsection Bayesian sensor performance].
The experimental sensor performance study is shown in Figure 4. ROC curve irregularities could be attributed to multimodal score distribution of splice and splice-like signal, as could be seen in Figure 3.
We calculate LOD diagrams as the logarithm of the ratio of signal concentration near SS to the signal concentration near splice-like signal [see Section Using detected signals to improve SS prediction].
