Table 1.

Splice Variant Prediction from Three Rat Tissues

A.
Selection ratio (R) 5-fold 7-fold 10-fold 15-fold 20-fold
Tissue type Algorithm gene probe gene probe gene probe gene probe gene probe
HeartSP183216138165 100 117 60734658
HeartSP + NB1029821 5 13 512512
LiverSP55674354 22 32 1321917
LiverSP + NB3939 3 9 3939
Skeletal muscleSP1261448592 48 52 26281921
Skeletal muscleSP + NB81824 2 4 1212
TotalSP328414243303 158 197 931206894
TotalSP + NB20541232 9 24 821821
B.
Selection ratio (R) 5-fold 7-fold 10-fold 15-fold 20-fold
Tissue type Algorithm gene probe gene probe gene probe gene probe gene probe
3 tissues (HLS)SP86422166801411 469 819 283419208269
3 tissues (HLS)SP + NB2271192133624 69 281 351141758

[i] (A) Splice variant prediction from triplicate control experiment. Total RNA was extracted from rat heart, liver, and skeletal muscle tissues. Independent RNA labeling and chip hybridization experiments were performed as triplicate for each tissue sample. Potential splice variants were predicted from each set of triplicate data using SPLICE (SP) algorithm alone or in combination with NEIGHBORHOOD (NB) algorithm. Total number of predictions from each tissue set was calculated. (B) Splice variant prediction from three different rat tissues. To generate the data set of three different tissues, the mean CSS value of each tissue triplicate was calculated and appended into the same table. Splice variant predictions were performed using the combined data set from the three tissues.