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Fold change in STAT3 ChIP-seq signal was calculated as read counts per region per million mapped reads divided by the corresponding control ChIP signal of that region.

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Gene expression values were calculated as reads aligned to gene per kilobase of exon per million mapped reads (RPKM) [ 11].

Gene expression levels were calculated as reads per kilobase of exon model per million mapped reads (RPKM) units (Additional file 8: Table S2).

Gene expression was calculated as reads per kilobase of exon model per million mapped reads (RPKM, see Materials and methods) and shows a comparable median distribution across sequencing libraries.

The expression level for each transcript was calculated as reads per kilobase of exon model per million mapped (RPKM) values based on the number of uniquely mapped reads that completely overlap with the exonic regions in each library [ 39].

The allele frequency of the variants was calculated as reads of alternate base/total reads.

Normalized transcript counts were calculated as reads per million reads mapped (RPM).

Gene-expression levels for each RNA-seq library were calculated as reads per kilobase exons model per million mapped reads (RPKM) [ 64].

The expression level of CSGs and Orphan genes was calculated as reads per kilobase exon model per million mapped reads (RPKM).

The mapped reads, which accounted for about 68.06 76.35%% of the total reads from different PARE-seq libraries, were used to measure gene degradation levels calculated as reads per million (RPM) (see Methods).

Reads mapping to each contig were counted using SAMtools (v0.1.16) [ 67] and transcript abundances were calculated as reads per kilobase of exon model per million mapped reads (RPKM) [ 68].

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