dalloliogm

#!/usr/bin/env bash
# Wrapper to launch a single cosi iteration
#
# COSI ( http://www.broadinstitute.org/~sfs/cosi/ ) is a software to simulate Human Genetic Variation
# (see http://genome.cshlp.org/content/15/11/1576.full for the reference).
# It can be used to simulate SNP data of 3 human populations, EUR, AFR and ASN.
#
# This script is a wrapper to launch multiple COSI simulations in parallel, using the GNU/parallel tool
#
#

dalloliogm

#!/usr/bin/env python
"""
"""
import random
import igraph
from numpy import mean, nan_to_num, nan
from pprint import pprint
import nose
import logging
logging.basicConfig(level=logging.DEBUG)

dalloliogm

#!/usr/bin/env bash
# Launch a single cosi iteration.
# 
# Standard usage (to run one single simulation)
#
#   $: ./launch_single_cosi_iteration_local.sh simulation1 data/simulation_output/
#
#
# Description of parameters:
# 

dalloliogm

#/!usr/bin/env Rscript
description = "

    Given a list of SNPs, get their disease-association status from Biomart.


    ++++++++++++++++++
    Parameters
    ++++++++++++++++++

dalloliogm

#!/usr/bin/env python
"""
Given a file containing a table of genes and their coordinates (see "Inputs"), get their genotypes from 1000genomes.

This in reality is a wrapper to tabix. You need to have tabix installed in the .bin folder, and you also need to have a ./data/tabix_indexes folder on your file system.

Usage
=========

   $: python get_genotypes.py -l data/n-glycan.coords

dalloliogm

#!/usr/bin/env python
"""
Generate a Hamming Graph

"""
import networkx
import itertools
import logging

def hamming_binary(chromosome_len):

dalloliogm

makeSearchCommand({
  name: "molecularlab",
  url: "http://www.molecularlab.it/forum/search.asp?q={QUERY}",
  description: "Searches the Molecularlab forum for your words."
});

makeSearchCommand({
  name: "hgdp",
  url: "http://hgdp.uchicago.edu/cgi-bin/gbrowse/HGDP/?name={QUERY}",
  description: "Searches HGDP gbrowse for a keyword or SNP."