In this guide I will go through all the steps to create a VPS, secure it and deploy a Django application. This is a summarized document from this digital ocean doc
Any commands with "$" at the beginning run on your local machine and any "#" run when logged into the server
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| {"name": "AS", "children": [{"name": "BSP_UM-SAL_AS_12", "children": [{"name": "FLOW-B_AS_12", "children": [{"name": "FLOW-B_AS_12_2", "size": 200}, {"name": "FLOW-B_AS_12_1", "size": 200}, {"name": "FLOW-B_AS_12_3", "size": 200}, {"name": "FLOW-B_AS_12_4", "size": 200}]}, {"name": "RNA-B_AS_12", "size": 200}]}, {"name": "BSP_PAX-B_AS_34", "size": 200}]} |
| # If not installed please install the gdata package by using this command | |
| #install.packages("gdata") | |
| require(gdata) | |
| #df = read.xls("demo.txt", sheet = 1, header = TRUE, method="tab") | |
| df = read.csv("demo.txt", header = TRUE, sep="\t") | |
| numberOfDays <- function(date) { |
| Rython : Learn Data Science using 2 programming languages, while having fun | |
| Data Wrangling in Python and R | |
| - Data Structures | |
| - Reading / Writing from/to files | |
| - Extracting data from the web | |
| - Transforming Data | |
| Data Visualization | |
| - Scatterplots | |
| - Histograms |
| " set runtimepath+=~/.vim_runtime | |
| " source ~/.vim_runtime/vimrcs/basic.vim | |
| " source ~/.vim_runtime/vimrcs/filetypes.vim | |
| " source ~/.vim_runtime/vimrcs/plugins_config.vim | |
| " source ~/.vim_runtime/vimrcs/extended.vim | |
| " try | |
| " source ~/.vim_runtime/my_configs.vim | |
| " catch |
| " set runtimepath+=~/.vim_runtime | |
| " source ~/.vim_runtime/vimrcs/basic.vim | |
| " source ~/.vim_runtime/vimrcs/filetypes.vim | |
| " source ~/.vim_runtime/vimrcs/plugins_config.vim | |
| " source ~/.vim_runtime/vimrcs/extended.vim | |
| " try | |
| " source ~/.vim_runtime/my_configs.vim | |
| " catch |
| """ | |
| This is a small python script to generate a report based on multiple analysis from bismark | |
| It creates a single doncument (report) as a table | |
| Rows are data parsed | |
| Columns will be samples analyzed | |
| The script takes as argument : | |
| - a path where we have several bismark individual results | |
| - an output filename |
| import networkx as nx | |
| import matplotlib.pyplot as plt | |
| def draw_graph(graph, labels=None, graph_layout='shell', | |
| node_size=1600, node_color='blue', node_alpha=0.3, | |
| node_text_size=12, | |
| edge_color='blue', edge_alpha=0.3, edge_tickness=1, | |
| edge_text_pos=0.3, | |
| text_font='sans-serif'): |
| def read_custom_order(order_file): | |
| """ | |
| Read a custom order that the user provides and output a list that will | |
| be given to some functions | |
| The file should contain one sample name per line | |
| """ | |
| samples_order = [] | |
| with open(order_file, 'r') as f: | |
| for line in f: | |
| samples_order.append(line.split(" ")[0]) |