降解组的分析,目前主流的软件为CleaveLand4,他可以通过测序数据来寻找miRNA与基因的剪切位点,从而验证miRNA靶基因的准确性。
CleaveLand4软件安装
该软件安装非常简单,网址在这,我们只需通过
git clone
即可对其进行下载。
git clone https://github.com/MikeAxtell/CleaveLand4.git
该软件依赖多个软件,我们需要提前安装
bowtie
,Vienna RNA
,samtools
等软件。
CleaveLand4软件使用
通过该软件的提示,我们可以发现他有4种模式。
mode1
为最常见的模式,输入文件分别为-e 降解组测序的fasta文件
,-u miRNA的fasta文件
,-n 参考基因组的cds文件
,mode2
可以作为mode1
的后续步骤,当我们需要更换我们的miRNA文件时,我们可以运行mode2
,可以省去对测序文件的重新比对,它会直接利用mode1
生成的*_dd.txt
文件,输入文件只需将-e
改为-d *_dd.txt
即可。mode3
与mode2
有类似的效果,当我们的降解组测序文件改变,miRNA文件不变时,我们运行mode3
。mode4
则是前两个文件都不变,需要做一些条件筛选,或者图片忘记绘制时,它会直接利用mode1
生成的文件进行操作,方便我们不用重新跑mode1
。
$ CleaveLand4.pl
CleaveLand4.pl : Finding sliced targets of small RNAs from degradome data
Version: 4.5
Usage: CleaveLand4.pl [options] > [out.txt]
Options:
-h Print help message and quit
-v Print version and quit
-q Quiet mode .. no log/progress information to STDERR
-a Sort small RNA / transcript alignments by Allen et al. score instead of default MFEratio -- for GSTAr
-t Output in tabular format instead of the default verbose format
-r [float >0..1] Minimum Free Energy Ratio cutoff. Default: 0.65 -- for GSTAr
-o [string] : Produce T-plots in the directory indicated by the string. If the dir does not exist, it will be created
-d [string] : Path to degradome density file.
-e [string] : Path to FASTA-formatted degradome reads.
-g [string] : Path to GSTAr-created tabular formatted query-transcript alignments.
-u [string] : Path to FASTA-formatted small RNA queries
-n [string] : Path to FASTA-formatted transcriptome
-p [float >0..1] : p-value for reporting. Default is 1 (no p-value filtering).
-c [integer 0..4] : Maximum category for reporting. Default is 4 (all categories reported).
Modes:
1. Align degradome data, align small RNA queries, and analyze.
REQUIRED OPTIONS: -e, -u, -n
DISALLOWED OPTIONS: -d, -g
2. Use existing degradome density file, align small RNA queries, and analyze.
REQUIRED OPTIONS: -d, -u, -n
DISALLOWED OPTIONS: -e, -g
3. Align degradome data, use existing small RNA query alignments, and analyze.
REQUIRED OPTIONS: -e, -n, -g
DISALLOWED OPTIONS: -d, -u
IRRELEVANT OPTIONS: -a, -r
4. Use existing degradome density file and existing small RNA query alignments, and analyze.
REQUIRED OPTIONS: -d, -g
DISALLOWED OPTIONS: -e, -u
IRRELEVANT OPTIONS: -a, -r
Dependencies (must be in PATH):
R [only if making T-plots]]
GSTAr.pl [modes 1 and 2 .. Version 1.0 or higher]
bowtie (0.12.x OR 1.x) [modes 1, 2, and 3]
bowtie-build [modes 1, 2, and 3]
RNAplex (from Vienna RNA Package) [modes 1 and 2]
samtools [modes 1 and 3]
Documentation: perldoc CleaveLand4.pl
CleaveLand4例子
这里的dga.fasta为二代测序文件fasta转化的fasta格式
-t 输出结果为tab 制表符分割的格式
-p 对输出结果的pvalue进行筛选
-o 每对miRNA与靶基因的剪切位点图片
$ CleaveLand4.pl -e dgd.fasta -u miRNA.fasta -n ref.cds -p 0.05 -t -o test