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30-mer mappable regions in the human hg19 genome

<p>Knowing where reads can uniquely map in the genome is useful for nascent RNA assays, both in statistical calculations and to make predictions.</p> <p>The dataset was created using the bowtie 1 aligner.&nbsp; The genome was windows at 30 basepair genomic intervals and mapped back to the genome.&nbsp; If the read maps to more than one place, the read is thrown away.&nbsp; Therefore the regions captured in the dataset are regions that any read at least 30 basepairs long will map to uniquely.&nbsp; The shell script originally used to create this dataset has been lost.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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