Table 5.

Error Analysis

Tissue Single consensus clusters Total clusters (%) Multi-consensus clusters Total clusters (%) Total only singletons Total clusters (%) Single consensus + 1 or more singletons Total clusters (%) 3′/5′ disagreement Total clusters
Adipose173965332002313
Brain19,933871,8508296176942,55211
Cochlea6899713240.540.5183
Connective4,09888316793214033588
Digestive6,08990370682119334937
Disease10,845879898198148142,58921
Eye2,799812888229713243039
Genomic14,924917925177142132,55016
Gland10,8438882072370.24084.81,0969
Heart7,341886227104127446998
Hematolymph14,639841,77410271269442,73116
Lung7,483876678137226731,82821
Muscle1,08492645121232676
Olfactory2389672.820.810.442
Other2,675852857184417141724
Reproductive19,178793,1961353321,25863,37314
 Totals124,0318612,05882,56225,236418,85613

[i] CRAW analyzes cluster alignments generated by PHRAP or MSA_CONTIG and partitions consistent ESTs into subclusters based on agreement with other sequences. The ideal result is a single consensus cluster, accounting for 86% of the STACK output, while the remaining clusters may contain multiple sequence subclusters (resulting in a multiconsensus cluster), a primary consensus with one or more singleton sequences (data not shown), singleton ESTs according to the CRAW parameters. STACK clusters are generated by word identity counts and their read direction determined by majority vote of the annotations of constituent ESTs; clusters for which this vote is not unanimous (excluding abstentions) are noted in the right-most two columns.