naarkhoo

RUN apt-get update && apt-get install -y \
   xz-utils \
   build-essential \
   && rm -rf /var/lib/apt/lists/* \
   && curl -SL https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.0/clang+llvm-10.0.0-x86_64-linux-gnu-ubuntu-18.04.tar.xz \
   | tar -xJC . && \
   mv clang+llvm-10.0.0-x86_64-linux-gnu-ubuntu-18.04 clang_10.0.0 && \
   echo 'export PATH=/clang_10.0.0/bin:$PATH' >> ~/.bashrc && \
   echo 'export LD_LIBRARY_PATH=/clang_10.0.0/lib:$LD_LIBRARY_PATH' >> ~/.bashrc

naarkhoo

library(ggplot2)
# library(patchwork)

mtcars$car_name <- rownames(mtcars) # create new column for car names

# arrange data set in order of mpg
mtcars$car_name <- factor(mtcars$car_name, levels = mtcars$car_name[order(mtcars$mpg)])
mtcars$car_name

p1 <- ggplot(mtcars, aes(x=car_name, y=mpg)) +

naarkhoo

import plotly.graph_objs as go
import plotly.figure_factory as ff

import numpy as np

data  = [30.2049, 51.3693, 51.8094, 30.5573, 56.8151, 45.9166, 56.2858, 55.4125, 72.8778, 
         39.7996, 34.8203, 36.8362, 39.9959, 54.7995, 52.5158, 40.6841, 61.3939, 48.5818, 
         41.4944, 71.5607, 49.0913, 57.7985, 70.2787, 45.2226, 55.7449, 69.0475, 33.9624, 
         51.3384, 53.1948, 46.1682, 66.5202, 37.0265, 48.0182, 44.2164, 56.9336, 69.7961, 
         48.6728, 44.5923, 33.2164, 41.8337,56.7741, 35.6030, 33.9237, 41.5178, 50.4453, 

naarkhoo

Keybase proof

I hereby claim:

• I am naarkhoo on github.
• I am mangul (https://keybase.io/mangul) on keybase.
• I have a public key ASCCxl64gmHg-uhZGp6OOXhn6FgrikjR5VUG--YPoND-KQo

To claim this, I am signing this object:

naarkhoo

from pydub import AudioSegment
AUDIO_FILE = '/Users/alireza/Devel/Alaki/aeneas/test_farsi/13980218_27113_128k.mp3'
sound = AudioSegment.from_file(AUDIO_FILE)
p1 = sound[2039*1000: 2049.1*1000]
p1.export('/Users/alireza/Devel/Alaki/Goharbar/DarsKhandan2.mp3', format='mp3')

naarkhoo

ggplotColours <- function(n = 6, h = c(0, 360) + 15){
  if ((diff(h) %% 360) < 1) h[2] <- h[2] - 360/n
  hcl(h = (seq(h[1], h[2], length = n)), c = 100, l = 65)
}

ggplotColours(n = 3)

naarkhoo

biom convert -i phylum_for_biom2.csv -o tmp.biome --table-type="otu table" # first convert the csv to biom

biom_file = "rawfiles/genus.biome"
biomot_pair = import_biom(BIOMfilename=biom_file)
TAX = matrix(rownames(otu_table(biomot_pair))) #rownames are taxa names ! 
rownames(TAX) = as.matrix(TAX)

map_tab = read.table("rawfiles/phenotypes_GB.tsv", sep = "\t", header = T)
physeq.genus = phyloseq(otu_table(biomot_pair), tax_table(TAX), sample_data(pheno_tab));

naarkhoo

# do this on each sample
#usearch -fastq_filter raw.fq -fastqout reads.fq -fastq_trunclen 260 -fastq_truncqual 10 -fastq_maxee 0.5

rawdir="/home/rostam/Projects/16srna/MS96/raw_data/"
maindir="/home/rostam/Projects/16srna/MS96/Mature"
output_dir=$maindir/"R260/pair/intereads/"

#tools
usearch61="/bin/usearch61"
flash="/home/rostam/qiime_software/smash-v2.0/flash/flash"

naarkhoo

km_dists = function(distm, K, nstart=10, maxiter=100) {
    # initializations :
    n = nrow(distm)
    clusts = as.list(rep(0,K))
    bestClusts = 0 ; bestDistor = 0.0

    for (repet in 1:nstart) {
        ctrs = sort(sample(1:n,K)) # centers initialization randomly
        oldCtrs = rep(0,K)
        counter = 1