biostudies-other00960Unknown27(2)Koehler RBioinformatics (Oxford, England)272-4https://www.ebi.ac.uk/biostudies/studies/S-EPMC3018812 SUMMARY: Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend on knowing the uniqueness of specific genomic regions at a given threshold of error. Here, we present the 'uniqueome', a genomic resource for understanding the uniquely mappable proportion of genomic sequences. Pre-computed data are available for human, mouse, fly and worm genomes in both color-space and nucletotide-space, and we demonstrate the utility of this resource as applied to the quantification of RNAseq data. AVAILABILITY: Files, scripts and supplementary data are available from http://grimmond.imb.uq.edu.au/uniqueome/; the ISAS uniqueome aligner is freely available from http://www.imagenix.com/.biostudies-otherPMC3018812Europe PMCCloonan NGrimmond SMIssac HKoehler R96falseThe uniqueome: a mappability resource for short-tag sequencing. SUMMARY: Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend on knowing the uniqueness of specific genomic regions at a given threshold of error. Here, we present the 'uniqueome', a genomic resource for understanding the uniquely mappable proportion of genomic sequences. Pre-computed data are available for human, mouse, fly and worm genomes in both color-space and nucletotide-space, and we demonstrate the utility of this resource as applied to the quantification of RNAseq data. AVAILABILITY: Files, scripts and supplementary data are available from http://grimmond.imb.uq.edu.au/uniqueome/; the ISAS uniqueome aligner is freely available from http://www.imagenix.com/.2011-01-01T00:00:00Z2011 Jan2019-03-27T00:37:59Z2019-03-27T00:37:59ZS-EPMC30188122107574110.1093/bioinformatics/btq640