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This rep. contains all relevant data and codes for data cleaning/manipulation for Bioinformatics Data Analysis 2017-18

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Glycoanalysis

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Glycoanalysis is the compilation of statistics after obtaining the final Loopstat outputs.
Below is the required format for the presentation of statistics(One Table for each species)

Explanation

Non-Glycosylation statistics are obtainable from non_glyco_file for each species. For the rest, refer to the .awk programmes below to obtain the stats.

$19 = FirstDomain.Glyco.Length

$21 = LastDomain.Glyco.Length

Based on the values of the above fields, four categories are possible:

onlyfirst.awk : if $19!=0 && $22==0

onlylast.awk : if $19==0 && $22!=0

both.awk : if $19!=0 && $22!=0

none.awk : if $19==0 && $22==0

overall.awk : all

sequons.sh [filename] [category] : For the stastics of AvgSeq(F&L) and AvgSeq(All)

Steps

  1. Store all files mentioned above in one directory along with the firstLoopstatOutput. Make this directory as current.

  2. Runs all statistics on the mouseloopstatoutput1 file.

ls | grep ".awk" | sort | xargs -n1 -i {} sh -c './{} mouseLoopstatOutput1'

  1. Runs the sequons statistics for the mouse1loopstatoutput1 File.

for i in {0..4};do ./sequons.sh mouseLoopstatOutput1 $i; done

  1. The Non-glycol statistics are likely to remain unchanged because only Sequons information is altered during the creation of theoretical data from experimental data.

At the end NL(onlyfirst) + NL(onlylast) + NL(both) + NL(last) = NL(overall)

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This rep. contains all relevant data and codes for data cleaning/manipulation for Bioinformatics Data Analysis 2017-18

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