How can Microsatellite instability be calculated using Whole exome sequencing, when microsatellite is comprised of tandem repeats etc,. and classified under non-coding regions?
How can Microsatellite instability be calculated using Whole exome sequencing, when microsatellite is comprised of tandem repeats etc,. and classified under non-coding regions?
There was a good editorial on MSI in JCO PO a few years ago, alongside this paper which references the set of 2,359 microsatellites in or near the exome. So reason is that not all are in non-coding regions.
You can check MSIsensor
paper : https://academic.oup.com/bioinformatics/article/30/7/1015/236553
Could you post the exact command you used. check on the github of msisensor. Maybe contact the other : https://github.com/ding-lab/msisensor
Hey Nicolas, I get the following error while running msisensor:
[bam_index_load] fail to load BAM index. msisensor: bamreader.cpp:184:bool ReadInBamReads(const char*, const string&, unsigned int, unsignedint, std::vector<split_read>&, std::string): Assertion `idx' failed. Aborted (core dumped)
How should I work further? Thanks
has anyone tired the latest software OSTRFPD: Multifunctional tool for genome-wide short tandem repeat analysis for DNA, transcripts and amino acid sequences with integrated primer designer link: https://github.com/vivekmathema/OSTRFPD
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How can MSI be calculated when there is no matched normal available?
How to identify microsatellite markers in exome sequencing, to calculate MSI?
Because microsatellites are so highly variable per individual, I think you will need matched normal to test MSI. Without matched normal you could investigate tumour mutational burden (TMB).
Thank you so much for the information!