文章目录
官方文档
下载安装
cd ~/local/app/
curl -OL https://github.com/arq5x/bedtools2/releases/download/v2.22.0/bedtools-2.22.0.tar.gz
tar zxvf bedtools-2.22.0.tar.gz
cd bedtools2
make
ln -sf ~/local/app/bedtools2/bin/bedtools ~/bin/bedtools
演示版的bed文件 (demo.bed)
vim demo.bed
KM034562 100 200 one 0 +
KM034562 400 500 two 0 -
我们的基因组文件（genome.txt）
vim genome.txt
KM034562 18959
两侧的运算
http://bedtools.readthedocs.io/en/latest/content/tools/flank.html
bedtools flank -i demo.gff -g genome.txt -b 10
KM034562 . . 91 100 0 + . .
KM034562 . . 201 210 0 + . .
KM034562 . . 391 400 0 - . .
KM034562 . . 501 510 0 - . .
bedtools flank -i demo.gff -g genome.txt -l 10 -r 0
KM034562 . . 91 100 0 + . .
KM034562 . . 391 400 0 - . .
bedtools flank -i demo.gff -g genome.txt -l 10 -r 0 -s > flank.gff
less flank.gff
KM034562 . . 91 100 0 + . .
KM034562 . . 501 510 0 - . .
示意图：
填充运算
http://bedtools.readthedocs.io/en/latest/content/tools/complement.html
bedtools complement -i demo.gff -g genome.txt > complement.gff
less complement.gff
KM034562 0 100
KM034562 200 400
KM034562 500 18959
示意图：
下载测试数据
通过Entrez Direct访问NCBI
efetch -id KM034562 -format gb -db nucleotide > KM034562.gb
数据格式转化
readseq -format=FASTA -o ~/data/852/KM034562.fa KM034562.gb
readseq -format=GFF -o KM034562.gff KM034562.gb
安装readseq
创建 ~/bin 目录
mkdir -p ~/bin
将~/bin 文件夹加到PATH
echo 'export PATH=~/bin:$PATH' >> ~/.bashrc
source ~/.bashrc
-------------------------------------
mkdir ~/local/app/readseq
cd ~/local/app/readseq
curl -OL http://iubio.bio.indiana.edu/soft/molbio/readseq/java/readseq.jar
-----------------------------------------
echo '#!/bin/bash' > ~/bin/readseq
echo 'java -jar ~/local/app/readseq/readseq.jar $@' >> ~/bin/readseq
chmod +x ~/bin/readseq
从整个文件中提取基因
cat KM034562.gff | bioawk -c gff ' $feature=="gene" { print $0 } ' > genes.gff
less genes.gff
KM034562 - gene 56 3026 . + . gene "NP"
KM034562 - gene 3032 4407 . + . gene "VP35"
KM034562 - gene 4390 5894 . + . gene "VP40"
KM034562 - gene 5900 8305 . + . gene "GP"
KM034562 - gene 8288 9740 . + . gene "VP30"
KM034562 - gene 9885 11518 . + . gene "VP24" ; note "putative"
KM034562 - gene 11501 18282 . + . gene "L"
提取与genes.gff的间隔相对应的序列
http://bedtools.readthedocs.io/en/latest/content/tools/getfasta.html
bedtools getfasta -fi ~/data/852/KM034562.fa -bed genes.gff -fo genes.fa
head genes.fa
示意图：
获取测试数据
mkdir -p ~/local/app
cd ~/local/app
wget https://sourceforge.net/projects/bowtie-bio/files/bowtie2/2.3.4.3/bowtie2-2.3.4.3-linux-x86_64.zip
unzip bowtie2-2.3.4.3-linux-x86_64.zip
ln -s ~/local/app/bowtie2-2.3.4.3-linux-x86_64/bowtie2 ~/bin
cd ~/local/app/bowtie2-2.3.4.3-linux-x86_64/example/reads/
bowtie2 -x ../index/lambda_virus -1 reads_1.fq -2 reads_2.fq 2>alignment.log |samtools view -bS >tmp.bam
samtools sort tmp.bam > tmp.sorted.bam
samtools index tmp.sorted.bam
用这个间隔文件去分割bam文件
http://bedtools.readthedocs.io/en/latest/content/tools/intersect.html
创建一个间隔文件
vim region.bed
gi|9626243|ref|NC_001416.1| 1000 2000
[sunchengquan 11:48:40 ~/local/app/bowtie2-2.3.4.3-linux-x86_64/example/reads]
$ bedtools intersect -a tmp.sorted.bam -b region.bed > region.bam
[sunchengquan 11:50:34 ~/local/app/bowtie2-2.3.4.3-linux-x86_64/example/reads]
$ wc -l tmp.sorted.bam
10124 tmp.sorted.bam
[sunchengquan 11:50:47 ~/local/app/bowtie2-2.3.4.3-linux-x86_64/example/reads]
$ wc -l region.bam
220 region.bam
[sunchengquan 11:52:59 ~/local/app/bowtie2-2.3.4.3-linux-x86_64/example/reads]
$ samtools view -h region.bam |awk '{print $4}'|tail -1
2000
示意图：
实战案例
获取数据
mkdir ~/edu/lec28
cd ~/edu/lec28
curl -O https://s3.amazonaws.com/bedtools-tutorials/web/maurano.dnaseI.tgz
curl -O https://s3.amazonaws.com/bedtools-tutorials/web/cpg.bed
curl -O https://s3.amazonaws.com/bedtools-tutorials/web/exons.bed
curl -O https://s3.amazonaws.com/bedtools-tutorials/web/gwas.bed
curl -O https://s3.amazonaws.com/bedtools-tutorials/web/genome.txt
curl -O https://s3.amazonaws.com/bedtools-tutorials/web/hesc.chromHmm.bed
tar -zxvf maurano.dnaseI.tgz
rm maurano.dnaseI.tgz
这些文件内容:
胎儿的组织样品，包括脑、心脏、肠道、肾脏、肺、肌肉、皮肤以及胃
cpg.bed
人类基因组中的CpG岛
exons.bed
RefSeq exons from human genes
gwas.bed
human disease-associated SNPs that were identified in genome-wide association studies (GWAS)
bedtools intersect
#找到A和B文件中重叠的部分
bedtools intersect -a cpg.bed -b exons.bed | head -5
chr1 29320 29370 CpG:_116
chr1 135124 135563 CpG:_30
chr1 327790 328229 CpG:_29
chr1 327790 328229 CpG:_29
chr1 327790 328229 CpG:_29
#-wa：A和B重叠的区间再加上a的剩余部分
#-wb：A和B重叠的区间再加上b的剩余部分
bedtools intersect -a cpg.bed -b exons.bed -wa -wb | head -5
chr1 28735 29810 CpG:_116 chr1 29320 29370 NR_024540_exon_10_0_chr1_29321_r 0 -
chr1 135124 135563 CpG:_30 chr1 134772 139696 NR_039983_exon_0_0_chr1_134773_r 0 -
chr1 327790 328229 CpG:_29 chr1 324438 328581 NR_028322_exon_2_0_chr1_324439_f 0 +
chr1 327790 328229 CpG:_29 chr1 324438 328581 NR_028325_exon_2_0_chr1_324439_f 0 +
chr1 327790 328229 CpG:_29 chr1 327035 328581 NR_028327_exon_3_0_chr1_327036_f 0 +
#-wo Write the original A and B entries plus the number of base pairs of overlap between the two features. Only A features with overlap are reported
bedtools intersect -a cpg.bed -b exons.bed -wo | head -5
chr1 28735 29810 CpG:_116 chr1 29320 29370 NR_024540_exon_10_0_chr1_29321_r 0 - 50
chr1 135124 135563 CpG:_30 chr1 134772 139696 NR_039983_exon_0_0_chr1_134773_r 0 - 439
chr1 327790 328229 CpG:_29 chr1 324438 328581 NR_028322_exon_2_0_chr1_324439_f 0 + 439
chr1 327790 328229 CpG:_29 chr1 324438 328581 NR_028325_exon_2_0_chr1_324439_f 0 + 439
chr1 327790 328229 CpG:_29 chr1 327035 328581 NR_028327_exon_3_0_chr1_327036_f 0 + 439
#-c For each entry in A, report the number of hits in B while restricting to -f. Reports 0 for A entries that have no overlap with B
bedtools intersect -a cpg.bed -b exons.bed -c | head
chr1 28735 29810 CpG:_116 1
chr1 135124 135563 CpG:_30 1
chr1 327790 328229 CpG:_29 3
chr1 437151 438164 CpG:_84 0
chr1 449273 450544 CpG:_99 0
chr1 533219 534114 CpG:_94 0
chr1 544738 546649 CpG:_171 0
chr1 713984 714547 CpG:_60 1
chr1 762416 763445 CpG:_115 10
chr1 788863 789211 CpG:_28 9
# 找到覆盖了最多外显子的CPG岛
bedtools intersect -a cpg.bed -b exons.bed -c | sort -k5,5nr | head -2
chrY 15591259 15591720 CpG:_33 77
chrUn_gl000228 70214 114054 CpG:_3259 72
bedtools intersect -a cpg.bed -b exons.bed -c | sort -k1,1 -k2,2nr | head -2
chr1 249200252 249200721 CpG:_58 2
chr1 249167408 249168010 CpG:_48 0
#找到A文件中没有重叠B的部分
Only report those entries in A that have no overlap in B
bedtools intersect -a cpg.bed -b exons.bed -v | head
chr1 437151 438164 CpG:_84
chr1 449273 450544 CpG:_99
chr1 533219 534114 CpG:_94
chr1 544738 546649 CpG:_171
chr1 801975 802338 CpG:_24
chr1 805198 805628 CpG:_50
chr1 839694 840619 CpG:_83
chr1 844299 845883 CpG:_153
chr1 912869 913153 CpG:_28
chr1 919726 919927 CpG:_15
从注释文件中，选取启动子
cat hesc.chromHmm.bed | grep Promoter > promoters.bed
cat promoters.bed |head -3
chr1 27737 28537 2_Weak_Promoter
chr1 28537 30137 1_Active_Promoter
chr1 30137 30337 2_Weak_Promoter
找到跟每个exon最近的启动子
多的一列数值是-a 和 -b 两者最近的距离
bedtools closest -a exons.bed -b promoters.bed -d | head -2
chr1 11873 12227 NR_046018_exon_0_0_chr1_11874_f 0 + chr1 27737 28537 2_Weak_Promoter 15511
chr1 12612 12721 NR_046018_exon_1_0_chr1_12613_f 0 + chr1 27737 28537 2_Weak_Promoter 15017
- -d In addition to the closest feature in B, report its distance to A as an extra column. The reported distance for overlapping features will be 0
示意图：
![xx](data:image/png;base64,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