Rob Gilmore grabear

Equipment_Name	RANGE	TYPE	OUTPUTNAME	WT	CRITMULT	Equipment_Name	CONTAINS	COST	PROFICIENCY	SORTKEY	CRITRANGE	DESC	SPROP	DAMAGE	SIZE	KEY	SOURCEPAGE	QUALITY
Backpack		Goods.Container.General.Resizable		2		Backpack	UNLIM\|Any	2		Backpack						Backpack	p.158
Barrel		Goods.Container.General		30		Barrel	UNLIM\|Any	2		Barrel						Barrel	p.158
Basket		Goods.Container.General		1		Basket	UNLIM\|Any	0.4		Basket						Basket	p.158
Bedroll		Goods.General.Resizable		5		Bedroll		0.1		Bedroll						Bedroll	p.158
Bell		Goods.General		0		Bell		1		Bell						Bell	p.158
Blanket, Winter		Goods.General.Resizable	Winter Blanket	3		Blanket, Winter		0.5		Blanket, Winter						Blanket (Winter)	p.158
Block and Tackle		Goods.General		5		Block and Tackle		5		Block and Tackle						Block and Tackle	p.158
Bottle		Goods.Container.General		1		Bottle	1.5\|Liquid=3	2		Bottle						Bottle (Glass)	p.158
Bucket		Goods.Container.General		2		Bucket	UNLIM\|Any	0.5		Bucket						Bucket	p.158

Genomics - A programmer's guide.

Andy Thomason is a Senior Programmer at Genomics PLC. He has been witing graphics systems, games and compilers since the '70s and specialises in code performance.

https://www.genomicsplc.com

Installing Python 3.6 on Raspbian

As of January 2018, Raspbian does not yet include the latest Python release, Python 3.6. This means we will have to build it ourselves, and here is how to do it. There is also an ansible role attached that automates it all for you.

Install the required build-tools (some might already be installed on your system).

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare [email protected]:usi-systems/easytrace.git

	library(DESeq2)

	wrapup_for_iSEE <- function(dds, res) {
	# dds to vst
	vst <- vst(dds)

	# initialize the container
	se <- SummarizedExperiment(
	assays = List(
	counts = counts(dds),

	#!/bin/bash

	git clone https://github.com/vim/vim.git --depth=1
	cd vim
	make -p $HOME/local/bin
	./configure --prefix=$HOME/local/vim --enable-multibyte --with-tlib=tinfo --enable-pythoninterp --enable-rubyinterp --with-ruby-command=/usr/bin/ruby --with-features=huge
	make -j24
	make install
	cd $HOME/local/bin
	for file in $(ls $HOME/local/vim/bin); do ln -sf $HOME/local/vim/bin/$file $file; done

	# This functionality has been tested and a PR has been pulled with phyloseq here:
	# https://github.com/joey711/phyloseq/pull/854
	#
	# While the function has been vetted, the maintainers are very busy and the PR has not
	# yet been added to the main package. Below i've added some detail to explain how to parse
	# your silva data. It's quite easy....


	source("parse_silva_taxonomy_128")

	# -- coding: utf-8 --
	"""
	Created on Fri Jan 13 18:18:52 2017

	@author: sdhutchins

	"""
	#------------------------------------------------------------------------------
	# Modules Used
	#------------------------------------------------------------------------------

	#!/usr/bin/env python

	# USAGE
	# python create_majority_taxonomy.py X Y Z A
	# where X is the taxonomy mapping file for all NR seqs, Y is the representative
	# file (i.e. one of the rep_set/ files with the 119 release), Z is the OTU
	# mapping file created from running pick_otus.py, and A is the output
	# consensus mapping file

	from sys import argv

	#!/usr/bin/env python

	# USAGE
	# python create_consensus_taxonomy.py X Y Z A
	# where X is the taxonomy mapping file for all NR seqs, Y is the representative
	# file (i.e. one of the rep_set/ files with the 119 release), Z is the OTU
	# mapping file created from running pick_otus.py, and A is the output
	# consensus mapping file

	from sys import argv