MATER is a minimier base HLA typer for RNAseq read dataset. In a typical RNAseq dataset, the reads sampled from HLA genes are less uniform and may miss regions that makes assembly or variant calling base methods for HLA typing more challenge. Here we adopt a slight different approach. We try to assign each reads to possible HLA types by using minimizers. Namely, we will generate dense minimer for each reads and compare to those from the HLA type seqeunces. We annotate each each reads to possible HLA serotype or 4 digit type sequence according the minimizer matches. Some reads may be able to assign to single HLA type-sequence, some other may be more ambiguous. We derive a simple score to summarize the results from all reads that are mapped to HLA-type sequences for each HLA allele.
While this method may not generate more rigious HLA-typing results, it is fast and can be use for upstream process for generate HLA-typing with assembly or variant call approach for RNAseq dataset.
TODO
--Jason Chin Apr. 28, 2020
Content type
Image
Digest
Size
284.3 MB
Last updated
over 6 years ago
docker pull cschin/mater