process < name > {
[ directives ]
input:
< process inputs >
output:
< process outputs >
when:
< condition >
[script|shell|exec]:
< user script to be executed >
}
The set qualifier allows you to group multiple parameters in a single parameter definition. It can be useful when a process receives, in input, tuples of values that need to be handled separately. Each element in the tuple is associated to a corresponding element with the set definition. For example:
process setExample { input: set x, 'latin.txt' from tuple
"""
echo Processing $x cat - latin.txt > copy """
}
File names can be defined in dynamic manner as explained in the Dynamic input file names section.
输入的自动重复（亮点！）
可以使用一个each标签，高效地产生重复步骤，如
sequences = Channel.fromPath('*.fa')
methods = ['regular', 'expresso', 'psicoffee']
process alignSequences {
input:
file seq from sequences
each mode from methods
"""
t_coffee -in $seq -mode $mode > result
"""
}
以上会对米一个序列文件，分别执行三个模式的比对
了解多个输入通道的工作模式
process foo {
echo true
input:
val x from Channel.from(1,2)
val y from Channel.from('a','b','c')
script:
"""
echo $x and $y
"""
}
会输出
1 and a
2 and b
而
process bar {
echo true
input:
val x from Channel.value(1)
val y from Channel.from('a','b','c')
script:
"""
echo $x and $y
"""
}
则会自动重复 1
1 and a
1 and b
1 and c
还有其他....
输出
methods = ['prot','dna', 'rna']
process foo {
input:
val x from methods
output:
val x into receiver
"""
echo $x > file
"""
}
receiver.println { "Received: $it" }
process align {
input:
val x from species
file seq from sequences
output:
file "${x}.aln" into genomes
"""
t_coffee -in $seq > ${x}.aln
"""
}
Mark Roberge是HubSpot的首席财务官，在招聘销售职位时使用了大量数据分析。但是科技并没有挤走直觉。
大家都知道数理学家实际上已经渗透到了各行各业。这些热衷数据的人们通过处理数据理解商业流程的各个方面，以重组弱点，增强优势。
Mark Roberge是美国HubSpot公司的首席财务官，HubSpot公司在构架集客营销现象方面出过一份力——因此他也是一位数理学家。他使用数据分析
@echo off
: host=服务器证书域名或ip，需要和部署时服务器的域名或ip一致 ou=公司名称, o=公司名称
set host=localhost
set ou=localhost
set o=localhost
set password=123456
set validity=3650
set salias=s
