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. © The Author(s) 2010. Published by Oxford University Press
International audienceWe present a fast mapping-based algorithm to compute the mappability of each r...
International audienceNext-generation sequencing technologies, able to yield millions of sequences i...
Mapping short reads against a reference genome is classically the first step of many next-generation...
SUMMARY: Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend...
Summary: Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend...
As next generation sequencing technologies are getting more efficient and less expensive, RNA-Seq is...
Abstract Background Current approaches for genome-wise functional analyses, such as microarray and R...
Motivation: Computing the uniqueness of k-mers for each position of a genome while allowing for up t...
Novel high throughput sequencing technology methods have redefined the way genome sequencing is perf...
Motivation: Genome resequencing and short read mapping are two of the primary tools of genomics and ...
Motivation: Genome resequencing and short read mapping are two of the primary tools of genomics and ...
Background: Sequence comparison by alignment is a fundamental tool of molecular biology. In this pap...
Summary: Mapping of next-generation sequencing data derived from RNA samples (RNAseq) presents diffe...
Elucidating the content of a DNA sequence is critical to deeper understand and decode the genetic in...
Background: RNA-seq and small RNA-seq are powerful, quantitative tools to study gene regulation and ...
International audienceWe present a fast mapping-based algorithm to compute the mappability of each r...
International audienceNext-generation sequencing technologies, able to yield millions of sequences i...
Mapping short reads against a reference genome is classically the first step of many next-generation...
SUMMARY: Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend...
Summary: Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend...
As next generation sequencing technologies are getting more efficient and less expensive, RNA-Seq is...
Abstract Background Current approaches for genome-wise functional analyses, such as microarray and R...
Motivation: Computing the uniqueness of k-mers for each position of a genome while allowing for up t...
Novel high throughput sequencing technology methods have redefined the way genome sequencing is perf...
Motivation: Genome resequencing and short read mapping are two of the primary tools of genomics and ...
Motivation: Genome resequencing and short read mapping are two of the primary tools of genomics and ...
Background: Sequence comparison by alignment is a fundamental tool of molecular biology. In this pap...
Summary: Mapping of next-generation sequencing data derived from RNA samples (RNAseq) presents diffe...
Elucidating the content of a DNA sequence is critical to deeper understand and decode the genetic in...
Background: RNA-seq and small RNA-seq are powerful, quantitative tools to study gene regulation and ...
International audienceWe present a fast mapping-based algorithm to compute the mappability of each r...
International audienceNext-generation sequencing technologies, able to yield millions of sequences i...
Mapping short reads against a reference genome is classically the first step of many next-generation...