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  • looking for illumina fastq RNASeq data with errors

    Hi,

    In order to demonstrate the need for pre-procesing of illumina RNASeq reads to a biologist class, I would like to identify a good example of dirty data ;-) to which I could apply quality filtering, adaptor clipping and other pre-procesing cleanup steps and QC, and compare the result of tophat2-mapping of either data to a small-enough reference transcriptome/genome. Synthetic data is not really an option here, I would prefer true dirty data.

    I have trouble finding 'bad' data out there and am sure some of you has a nice dirty dataset to use for this.

    Thanks for sharing any reference to a public dataset I could use for training.

    Cheers,
    http://www.bits.vib.be/index.php

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