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Pair Matcher (PaM): a computer model to optimise pairings using demographic and genetic data

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PAM

Pair Matcher (PaM): a computer model to optimise pairings using demographic and genetic data

Pre-requisites:

  1. linux operating system such as Ubuntu

  2. R programming language (and R studio or RKward) installed

Running the package:

  1. place uncompressed PaM_local folder on C drive

  2. copy plink files (bed/bim/fam) containing 'your' cohort snp data to

PaM_local/uploaded_data folder

and name these files as:

plink.bed plink.bim plink.fam

  1. in an Xterm window cd PaM_local

  2. ensure linux script is executable using:

chmod +x elhaik_pp.sh

  1. launch script using

./elhaik_pp.sh

8a) results folder contains the pairs/unpaired in: pairs_case_only.csv & unpaired_individuals.csv

8b) results folder also contains the admixture components for all individuals & matcher run/screen dump as: merge.9.Q & matcher.Rout

  1. test folder contains the input files & results for a small data test (13 individuals)

  2. note that run time on i5 laptop using 3 cores for ~3900 individuals each containing ~115k SNPs is ~7 hours

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Pair Matcher (PaM): a computer model to optimise pairings using demographic and genetic data

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