Appreci8
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Description
DESCRIPTION
Environment Modules
Run module spider Appreci8
to find out what environment modules are available for this application.
System Variables
- HPC_APPRECI8_DIR - installation directory
- HPC_APPRECI8_BIN - executable directory
Additional Information
HiPerGator provides a "wrapper" to call the underlying container image. An example of the proper way to call the program would look something like:
$ module load appreci8/20180530 $ appreci8 /path/to/your/data/
where /path/to/you/data/ is a directory set up as follows (from the description at https://hub.docker.com/r/wwuimi/appreci8/)
The data you wish to analyze has to be prepared in the following way (compare folder Example contained in the appreci8 folder): SampleNames.txt: The names of the samples you wish to analyze (without file extension, one name per line) vcf_header.txt: Standard vcf file header (available in the appreci8 folder) Folder alignment: Containing the bam- and bai files of the samples you wish to analyze (format: sample1.bam, sample1.bai etc.) Folder snpEff_ann: Hotspots.txt: A list containing known hotspot mutations, covering Gene, Mutation (change on amino acid level, one-letter-code), Min_VAF (minimum allelic frequency at which you expect these mutations); an empty list can be passed, containing the header and three NA's (available in the appreci8 folder) transcripts.txt: A list containing the genes and the corresponding Ensembl transcript-IDs to be analyzed (without header; e.g. NRAS\tab ENST00000369535; for an example see file in the Example folder) Folder targetRegions: targetRegions.bed: Bed file containing the target regions to be analyzed (no header, no information except for chr, start, end; 1 instead of chr1 etc.; for an example see file in the Example folder)
An example of how to set up the analysis data folder can be found here