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- W2951450665 abstract "As the second most common type of variations in the human genome, insertions and deletions (indels) have been linked to many diseases, but indels of more than a few bases are still challenging to discover from short-read sequencing data. Scalpel (http://scalpel.sourceforge.net) is open-source software for reliable indel detection based on the micro-assembly technique. To date, it has been successfully used to discover mutations in novel candidate genes for autism, and is extensively used in other large-scale studies of human diseases. This protocol gives an overview of the algorithm and describes how to use Scalpel to perform highly accurate indel calling from whole genome and exome sequencing data. We provide detailed instructions for an exemplary family-based de novo study, but we also characterize the other two supported modes of operation for single sample and somatic analysis. Indel normalization, visualization, and annotation of the mutations are also illustrated. Using a standard server, indel discovery and characterization in the exonic regions of the example sequencing data can be finished in ~6 hours after read mapping." @default.
- W2951450665 created "2019-06-27" @default.
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- W2951450665 date "2015-10-01" @default.
- W2951450665 modified "2023-09-27" @default.
- W2951450665 title "Indel variant analysis of short-read sequencing data with Scalpel" @default.
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- W2951450665 doi "https://doi.org/10.1101/028050" @default.
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