Mercurial > repos > miller-lab > genome_diversity
view aggregate_gd_indivs.xml @ 22:95a05c1ef5d5
update to devshed revision aaece207bd01
author | Richard Burhans <burhans@bx.psu.edu> |
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date | Mon, 11 Mar 2013 11:28:06 -0400 |
parents | f04f40a36cc8 |
children | 91e835060ad2 |
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<tool id="gd_sum_gd_snp" name="Aggregate Individuals" version="1.0.0"> <description>: Append summary columns for a population</description> <command interpreter="python"> aggregate_gd_indivs.py "$input" "$p1_input" "$output" #for $individual, $individual_col in zip($input.dataset.metadata.individual_names, $input.dataset.metadata.individual_columns) #set $arg = '%s:%s' % ($individual_col, $individual) "$arg" #end for </command> <inputs> <param name="input" type="data" format="gd_snp" label="SNP dataset" /> <param name="p1_input" type="data" format="gd_indivs" label="Population individuals" /> </inputs> <outputs> <data name="output" format="gd_snp" metadata_source="input" /> </outputs> <tests> <test> <param name="input" value="test_in/sample.gd_snp" ftype="gd_snp" /> <param name="p1_input" value="test_in/a.gd_indivs" ftype="gd_indivs" /> <output name="output" file="test_out/modify_snp_table/modify.gd_snp" /> </test> </tests> <help> **Dataset formats** The input datasets are in gd_snp_ and gd_indivs_ formats. The output dataset is in gd_snp_ format. (`Dataset missing?`_) .. _gd_snp: ./static/formatHelp.html#gd_snp .. _gd_indivs: ./static/formatHelp.html#gd_indivs .. _Dataset missing?: ./static/formatHelp.html ----- **What it does** The user specifies that some of the individuals in a gd_snp dataset form a "population", by supplying a list that has been previously created using the Specify Individuals tool. The program appends a new "entity" (set of four columns) to the gd_snp table, analogous to the columns for an individual but containing summary data for the population as a group. These four columns give the total counts for the two alleles, the "genotype" for the population, and the maximum quality value, taken over all individuals in the population. If all defined genotypes in the population are 2 (agree with the reference), then the population's genotype is 2, and similarly for 0; otherwise the genotype is 1 (unless all individuals have undefined genotype, in which case it is -1). ----- **Example** - input gd_snp:: Contig161_chr1_4641264_4641879 115 C T 73.5 chr1 4641382 C 6 0 2 45 8 0 2 51 15 0 2 72 5 0 2 42 6 0 2 45 10 0 2 57 Y 54 0.323 0 Contig48_chr1_10150253_10151311 11 A G 94.3 chr1 10150264 A 1 0 2 30 1 0 2 30 1 0 2 30 3 0 2 36 1 0 2 30 1 0 2 30 Y 22 +99. 0 Contig20_chr1_21313469_21313570 66 C T 54.0 chr1 21313534 C 4 0 2 39 4 0 2 39 5 0 2 42 4 0 2 39 4 0 2 39 5 0 2 42 N 1 +99. 0 etc. - input individuals:: 9 PB1 13 PB2 17 PB3 - output:: Contig161_chr1_4641264_4641879 115 C T 73.5 chr1 4641382 C 6 0 2 45 8 0 2 51 15 0 2 72 5 0 2 42 6 0 2 45 10 0 2 57 Y 54 0.323 0 29 0 2 72 Contig48_chr1_10150253_10151311 11 A G 94.3 chr1 10150264 A 1 0 2 30 1 0 2 30 1 0 2 30 3 0 2 36 1 0 2 30 1 0 2 30 Y 22 +99. 0 3 0 2 30 Contig20_chr1_21313469_21313570 66 C T 54.0 chr1 21313534 C 4 0 2 39 4 0 2 39 5 0 2 42 4 0 2 39 4 0 2 39 5 0 2 42 N 1 +99. 0 13 0 2 42 etc. </help> </tool>