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    Comparative Analysis of RNA-Seq Alignment Algorithms and the RNA-Seq Unified Mapper (RUM).

    (Submitter supplied) A critical task in high throughput sequencing is aligning millions of short reads to a reference genome. Alignment is especially complicated for RNA sequencing (RNA-Seq) because of RNA splicing. A number of RNA-Seq algorithms are available, and claim to align reads with high accuracy and efficiency while detecting splice junctions. RNA-Seq data is discrete in nature; therefore with reasonable gene models and comparative metrics RNA-Seq data can be simulated to sufficient accuracy to enable meaningful benchmarking of alignment algorithms. more...
    Organism:
    Mus musculus
    Type:
    Expression profiling by high throughput sequencing
    Platform:
    GPL11002
    4 Samples
    Download data:
    GEO (SAM, TXT), SRA SRP007655
    Series
    Accession:
    GSE26248
    ID:
    200026248

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