nturaga

AnVIL Docs Important docs

1. Weekly tech call https://docs.google.com/document/d/1XcTR3rDFP4oE_4Ggl1WfD7nRfKPSHmWaE2_amIjfuk4/edit#heading=h.gkoegbalxhj8

   Every Tuesday at 4pm

2. Bioc Activities https://bioconductor.github.io/AnVIL_Admin/ (Keep an eye on Bioc Team activities)

3. AnVIL Team Drive (Entire drive for organization)

jxtx

Conference info: https://bioc2018.bioconductor.org/

My first Bioconductor meeting, and I'm not a BioC or R expert so these notes are probably going to be naïve!

Contents

• Developer Day
  • ⚡️talks II
  • BoFs
• ⚡️ III

jmchilton

Overview: bit.ly/gcc2014workflows
Tool Authors: http://planemo.readthedocs.org/en/latest/writing_standalone.html#collections
History Management: https://wiki.galaxyproject.org/Histories#Dataset_Collections
An Analysis (RNA-seq):
1. https://vimeo.com/128265983
2. https://vimeo.com/128268401

nturaga

api_key: 
galaxy_instance: 54.161..97
# Each dbkey should posses keys and values for all DMs that require
# arguments other than the dbkey itself
dbkeys:
# - dbkey: sacCer2
#   genome_version: EquCab2.70
# - dbkey: sacCer1
#   genome_version: EquCab2.70
# - dbkey: phiX

nturaga

#!/usr/bin/python
"""
Python script for tailing irc logs and mailing notifications.
"""
import os
import smtplib
import pickle
import copy
from optparse import OptionParser

ejjunju

World cup data analysis script!!
The data in cup.txt is taken from wikipedia(http://en.wikipedia.org/wiki/2014_FIFA_World_Cup_squads). the script cup.r analyses the data to create interesting charts about the 2014 world cup squads. Charts include boxplots og age, number of home/foreign based players for each country, clubs with more than 4 players in the world cup and leagues with more than 10 players in the World cup.

The data shows that the youngest team is the Netherlands(Dutch) team is the youngest. Only Mexico, Netherlands,  Spain, England, Italy, Russia, germany and Iran have more home-based players than foreign based players. Most teams have less players based in their home countries. The European clubs dominate the number of clubs with the most players in the worls cup (gaian not a suprise)!! The world cup 2014 appears to be a sort of "European Cup"!! 

dsparks

doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("ggplot2", "reshape2", "RColorBrewer")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Generate a random matrix
# This can be any type of numeric matrix,
# though we often see heatmaps of square correlation matrices.
nRow <- 9
nCol <- 16

datagrok

This article is now published on my website: Prefer Subshells for Context.