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This is a collection of python scripts for the analysis of next-gen sequence data. both.py: processes Illumina paired end fastq file and returns paired sequences for which read 1 and read 2 exist. counts-paired.py: extracts mapped read counts from a sam file for paired end reads. counts.py: extracts mapped read counts from a sam file. annotate_mcl.py: annotates OrthoMCL ortholog sequences. shuffle_resamp.py: creates subsampled datasets of paired-end Illumina Reads. percent_diff.py: calculates percent diferences in up/down regulation for mapped read counts.
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Python scripts for analysis of next-gen sequencing data.
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