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ASEQ: fast allele-specific studies from next-generation sequencing data

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Figure

Figure 1 ASEQ pipeline and detection power of SNP-based ASE studies. A)frequencies. Upper-limit computation trends of the number of genes available for ASE calculation considering different heterozygous sites frequencies.Few SNPs per genes are enough to ra
Figure 2 ASEQ PILEUP engine computational performances. A)and mpileup (option -l was set to pass SNPs list) by increasing genomic size in Gb.and mpileup (option -l) by increasing the average depth of coverage for a human genome sample
Figure 3 Genotype mode performance. A)the minimum depth of coverage (mdc). The inset shows the samples mean coverage computed on the original BAMs on the ~2.7 million SNPsof dbsnp 138 CEU
Figure 4 (See legend on next page.)
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