title: The uniqueome: a mappability resource for short-tag sequencing.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  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/.
authors.affiliation: VerdAscend Sciences, West Linn, OR 97068, USA.
authors.forename: Ryan
authors.initials: R
authors.lastname: Koehler
authors.forename: Hadar
authors.initials: H
authors.lastname: Issac
authors.forename: Nicole
authors.initials: N
authors.lastname: Cloonan
authors.forename: Sean M
authors.initials: SM
authors.lastname: Grimmond
mesh_terms: D000818:Animals; D002874:Chromosome Mapping; D016678:Genome; D023281:Genomics / Q000379:methods*; D006801:Humans; D051379:Mice; D017423:Sequence Analysis, RNA; D016324:Sequence Tagged Sites; D012984:Software