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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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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 |
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. |
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