split
followed by //
will work fine.
my @tmp = split /\./, $ARGV[0];
print(join("\t", @tmp));
While, split
followed by ""
won't work.
my @tmp = split "\.", $ARGV[0];
print(join("\t", @tmp));
The thickness scale of lines in R is different from the scale in general operation.
ggplot2::.pt
# [1] 2.845276
Therefore, when using R for visualization, you need to refer to the following comparison table.
Size in R | Point in Illustrator |
---|---|
1 | 2.141959 |
0.9337247 | 2 |
0.7002935 | 1.5 |
0.5 | 1.07098 |
0.4668623 | 1 |
0.2334312 | 0.5 |
0.1634018 | 0.35 |
0.1167156 | 0.25 |
The procedure to find the largest files including directories in Linux is as follows:
- Open the terminal application
- Login as root user using the
sudo -i
command - Type
du -a /dir/ | sort -n -r | head -n 20
- du will estimate file space usage
- sort will sort out the output of du command
- head will only show top 20 largest file in /dir/
- Also check the
du
command to get the largest files in directory
Run the command:
sudo du -a * | sort -rn | head -n 20
grep -o 'biotype=[^;]*;' Arabidopsis_thaliana.TAIR10.58.gff3 \
| cut -d '=' -f 2 | cut -d ';' -f 1 \
| sort | uniq
There will be times when you get some fresh data that is not particularly large that you want to graph through R directly.
So, you can perform as shown:
## tmp is your clipboard content.
tmp <- " LC109 LC1173 LC123 LC1501 LC166 LC1671 LC185 LC192 LC193 LC194
10 5845678 5447297 5608682 5730609 5592508 5574256 5848625 5704038 5671094 5743587
15 5481512 5013117 5233426 5347440 5187061 5149794 5468576 5306342 5270447 5372153
20 5190391 4640099 4922449 5032642 4845818 4790548 5165080 4978950 4938863 5072444"
## do read.csv like readin a file.
df <- read.csv(
textConnection(object = tmp),
header = T,
row.names = 1,
sep = "\t",
stringsAsFactors = FALSE
)
pigz -dc INPUT.fq.gz |
awk 'NR%4 == 2 {lengths[length($0)]++} END{for(l in lengths){print l, lengths[l]}}'
awk '{h[sprintf("%.2f",$6)]++}END{for (i in h){print i,h[i]}}' infile |
sort -nrk 1,1
pigz -dc gencode.v40.annotation.gff3.gz |
awk 'BEGIN{FS="\t"}{split($9,a,";");
if($3~"gene") print a[1]"\t"a[4]}' | sed 's/ID=//' |
sed 's/gene_name=//' \
>gencode.v40_gene_annotation_table.txt
awk 'NR==FNR{a[$1]=$2;next} {for(i in a) gsub(i, a[i])}1' \
dictionary.tsv target.tsv \
>substituted.tsv