Fig. 3From: Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq dataImpact of gene structural features on expression estimates. All transcripts or genes expressed at medium levels (0 < log2 TPM <5.5) were distributed across bins according to transcript length (a), GC content (b), the number exons per transcript (c), and the number of transcripts per gene (d). Ranges of the corresponding values covered by each bin are indicated in the legends above each chart. In all cases, expression levels were estimated with each of the indicated methods based on in silico-generated sequencing data (read depth = 30 million). The accuracy of estimates was measured in terms of how well they correlate with true expression levels, expressed as the Spearman correlation coefficient rs, and is indicated for each bin and methodBack to article page