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For each set of parameters, we generated 100 replications of random overlapping gene pairs (each gene was 2000 codons in length with 1000 codons in the overlap) by sampling codons from a uniform distribution of sense codons.
Then, we examined the distribution of sense and antisense mapped reads in each subgroup.
Then, we examined the distribution of sense and antisense mapped reads around the TSS of each mouse protein-coding gene.
As shown in Figure 2, the distribution of sense strand gene function was broad, with the largest group being miscellaneous protein-coding genes.
Additional file 7: Figure S2 shows the distribution of sense and antisense reads that mapped to the spectrin, beta, erythrocytic gene (SPTB).
Genes were classified into bins of seven quantiles according to 5' Htz1 level and the distribution of sense transcript levels are plotted for each bin.
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To avoid potential complications due to differential gene expression levels, the two gene groups were compiled in such a way that they have the same number of genes and nearly identical expression distributions of sense transcripts.
As shown in Table 2, the genomic distributions of sense-oriented PATs and PACs were similar in the two organisms.
Throughout his career Bernstein was concerned with the difference between common and uncommon sense, and the role education plays in polarising the distribution of uncommon sense knowledge to learners.
The differences in the functional distribution of the sense and antisense tags and complete lack of tag count correlation (R2 = 0.018) between the sense and antisense tags suggest that in this experiment in the most part our antisense tags have not arisen as a result of spurious antisense transcription during cDNA synthesis.
FM – Unique fuzzy matched tags * – Annotation obtained by manual search The distribution of the sense and antisense UniGenes across these nine functional groups was quite different.
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