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16s_bar_plot

16s_stack_time_plot

stack plot R code using Jupyter notebook

acacia

anitscalent_biodegradation

bacterial-growth-curve-plot-od-vs-time-h-

this script is designed to plot bacterial OD growth curves from row data giving in a row format. it requires both "reading data" refers as OD.csv and plate-map file refers as Platemap.csv this scrip run on R environment in jupyter not book and requires the following pckages. library(reshape2) library(dplyr) library(ggplot2) library(scales) library(grid) library(tidyr)

datacamp

desert-plant-microbiome

Desert plant Acacia phyllosphere microbiom

desert-plant-microbiome-dust

fish_microbiome

freshwater-microbial-metagenomes-sampled-across-space-and-time

Abstract Freshwater bodies are critical components of terrestrial ecosystems. The microbial communities living in freshwater ecosystems (as well as brackish and marine ones) are intimately linked with the quality of the water - interacting with, utilizing and recycling inorganic elements and organic matter. Here, we present three metagenomic sequence datasets (total of 182.9 Gbp) from different freshwater environments. The first dataset is from diverse freshwater bodies intended for different usages – a nature reserve, irrigation and aquaculture facilities, a tertiary wastewater treatment plant and a desert rainfall reservoir. The second dataset represents a two-year time-series, collected during 2013-2014 at roughly monthly intervals, from a water reservoir connected to an aquaculture facility. The third dataset is from several time-points during the winter and spring of 2015 in Lake Kinneret, including a bloom of the cyanobacterium Microcystis sp. These datasets are accompanied by physical, chemical, and biological measurements at each sampling point. We expect that these metagenomes will facilitate a wide range of comparative studies that seek to illuminate new aspects of freshwater microbial ecosystems and inform future water quality management approaches. 

freshwater-microbiome-physical-and-chmical-metadata-table-4

Freshwater microbiome physical and chemical metadata Table 4

githubplots

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube