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An Arabidopsis 2010 project to characterize pre-mRNA splicing signals
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| Score | Explanation | Percentages | |||
| 5 | No Detectable Skipping | ~ 100% Inclusion | |||
| 4 | Inclusion > 16x Skipping | > 94.1% Inculsion vs. < 5.9% Skipping | |||
| 3 | Inclusion > 8x Skipping | 94.1 to 88.9% Inclusion vs. 5.9 to 11.1% Skipping | |||
| 2 | Inclusion > 4x Skipping | 88.9% to 80% Inclusion vs. 11.1 to 20% Skipping | |||
| 1 | Inclusion > 2x Skipping | 80% to 66% Inclusion vs. 20 to 33% Skipping | |||
| 0 | Inclusion equal to Skipping within 2x | 66 to 33% Inclusion vs. 33 to 66% Skipping | |||
| -1 | Skipping > 2x Inclusion | 33 to 20% Inclusion vs. 66 to 80 % Skipping | |||
| -2 | Skipping > 4x Inclusion | 20 to 11.1% Inclusion vs. 80 to 88.9% Skipping | |||
| -3 | Skipping > 8x Inclusion | 11.1% to 5.9% Inclusion vs. 88.9 to 94.1% Skipping | |||
| -4 | Skipping > 16x Inclusion | < 5.9% Inclusion vs > 94.1% Skipping | |||
| -5 | No Detectable Inclusion | ~ 0% Inclusion | |||
| G = Data from Agarose Gel | |||||
| Q = Data from Quantitative RT-PCR | |||||
| I = Data from Inflorescences | |||||
| L = Data from Rosette Leaves | |||||
Investigators:
PI,Stephen M. Mount, Ph.D., Associate Professor, Dept. of Cell Biology and Molecular Genetics, University of Maryland. (email: smount@umd.edu)
co-PI,Caren Chang , Ph.D., Associate Professor, Dept. of Cell Biology and Molecular Genetics, University of Maryland.
co-PI,Steven Salzberg, Ph.D., Director, Center for Bioinformatics and Computational Biology , University of Maryland and Professor, Dept. of Computer Science, University of Maryland
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