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The 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...

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Detalles Bibliográficos
Autores principales: Koehler, Ryan, Issac, Hadar, Cloonan, Nicole, Grimmond, Sean M.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018812/
https://www.ncbi.nlm.nih.gov/pubmed/21075741
http://dx.doi.org/10.1093/bioinformatics/btq640
Descripción
Sumario: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/. Contact: n.cloonan@uq.edu.au Supplementary information: Supplementary data are available at Bioinformatics online.