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Daniel Cui Zhou [email protected] Last updated: 08/06/19

Adapted from Qingsong Gao's hg19 pipeline.

VERSION: v1.2 Build: hg38 Cluster: MGI

MSIsensor can be found here: https://github.com/ding-lab/msisensor. MSI scores can roughly be interpreted as the percentage of microsatellite sites (with deep enough sequencing coverage) that have a lesion.

Samples with an MSIscore > 3.5 are classified as "MSI-High" and the rest will be classified as "MSS." An intermediate class with 1.0 <= score <= 3.5 can be defined as "MSI-Low."

The site file annotation is as follows: chromosome, location, repeat_unit_length, repeat_unit_binary, repeat_times, left_flank_binary, right_flank_binary, repeat_unit_bases, left_flank_bases, right_flank_bases More details can be found in the github page.

Processing details: Run "get_link.pl" to generate a "to_run.sh" file and create the appropriate folder directory for each sample. Run "to_run.sh" in order to submit MSIsensor jobs.

Changelog: updated paths in MGI

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Ding Lab MSIsensor hg38 MGI pipeline

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