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This dataset contains reference mappability .bigwig files for the reference genomes hg38 and hg19, for various read lengths. The files were generated with the GEM library (https://sourceforge.net/projects/gemlibrary/files/gem-library/Binary%20pre-release%203/GEM-binaries-Linux-x86_64-core_i3-20130406-045632.tbz2) using this script (based on this work). The files can be used as input for LIQUORICE (https://liquorice.readthedocs.io) - just select the file that matches your sequencing protocol (i.e. read length) and the reference genome of your mapped .bam files.
{"references": ["Marco\u2010Sola, S., & Ribeca, P. (2015). Efficient Alignment of Illumina\u2010Like High\u2010Throughput Sequencing Reads with the GEnomic Multi\u2010tool (GEM) Mapper. Current protocols in bioinformatics, 50(1), 11-13.", "https://evodify.com/gem-mappability/"]}
LIQUORICE, bioinformatics, mappability
LIQUORICE, bioinformatics, mappability
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 264 | |
| downloads | 207 |

Views provided by UsageCounts
Downloads provided by UsageCounts