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Differential RNA splicing analysis | ||
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Summary | ||
^^^^^^^ | ||
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Differential splicing analysis using leafcutter, one of the best tools. | ||
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Only works for hg19. | ||
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Only works for paired-end RNA-seq data. | ||
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Input | ||
^^^^^ | ||
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Example data dir: Projects/Siqi_data/RNAseq_data/Differential_Exon_Analysis/test | ||
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1. fastq.tsv | ||
---------- | ||
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Use ``run_lsf.py --guess_input`` to generate. | ||
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2. design.tsv | ||
---------------- | ||
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Two columns. First column should match to the labels in ``fastq.tsv``. Second col is the group. Only pairwise. From leafcutter: ``Additional columns can be used to specify confounders, e.g. batch/sex/age. Numeric columns will be treated as continuous, so use e.g. batch1, batch2, batch3 rather than 1, 2, 3 if you a categorical variable.`` | ||
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:: | ||
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2393110_Nontarget_Hudep2_2 WT | ||
2393109_Nontarget_Hudep2_1 WT | ||
2393111_Nontarget_Hudep2 WT | ||
2393114_M1_Hudep2 sgRNA | ||
2393113_M1_2_Hudep2_2 sgRNA | ||
2393112_M1_2_Hudep2_1 sgRNA | ||
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Usage | ||
^^^^^ | ||
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.. code:: bash | ||
hpcf_interactive | ||
module load python/2.7.13 | ||
run_lsf.py -f fastq.tsv -p leafcutter -g hg19 --design_matrix $PWD/design.tsv | ||
Output | ||
^^^^^^ | ||
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Results are stored in the $jid folder. | ||
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