pmagwene

BEGIN {
        FS="\t"
        OFS=","
        genect = 0
}

# filter the comments
$0 ~ /^#/ { next }

pmagwene

# Prepends "VNII_" in front of every sequence ID in this genome
seqkit replace -p ^ -r VNII_ GCA_022832995.1_ASM2283299v1_genomic.fna > VNII_Genome.fasta

pmagwene

use std::error::Error;
use std::io::{BufRead, BufReader};

#[derive(Debug)]
struct Record<'a> {
    line: &'a str,
    words: Vec<&'a str>,
}

impl<'a> Record<'a> {

pmagwene

use std::error::Error;
use std::io::{BufRead, BufReader};

#[derive(Debug)]
struct Record<'a> {
    line: &'a str,
    words: Vec<&'a str>,
}

impl<'a> Record<'a> {

pmagwene

use std::env;
use std::error::Error;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::time::Instant;

#[derive(Debug)]
struct Record {
    words: Vec<String>,
}

pmagwene

package main

import (
	"bufio"
	"fmt"
	"io"
	"log"
	"os"
	"strings"
	"time"

pmagwene

library(dendextend)
library(tidyr)
library(dplyr)
library(magrittr)
library(ggplot2)

# load data in "wide" format (genes in columns)
spellman <- read.csv("spellman-reformated.csv")

# restructure in "long" format

pmagwene

library(tidyr)
library(dplyr)
library(magrittr)
library(ggplot2)

# read data from causton heat expression data set
# see groups 4 and 9 data/focal papers
causton <- read.csv("causton-2001-heat-expression.csv")

# Take a look at data. You'll see that the genes are in rows, 

pmagwene

library(tidyr)
library(dplyr)
library(magrittr)
library(ggplot2)

# load data in "wide" format (genes in columns)
spellman <- read.csv("spellman-reformated.csv")

# restructure in "long" format
spellman.long <- gather(spellman, gene, expression, -expt, -time)

pmagwene

library(tidyr)
library(dplyr)
library(magrittr)
library(ggplot2)

# load data in "wide" format (genes in columns)
spellman <- read.csv("spellman-reformated.csv")

# restructure in "long" format
spellman.long <- gather(spellman, gene, expression, -expt, -time)