204-bedtools的简单操作版本

刘小泽写于2020.8.14

前言

之前初识bedtools的时候根据官网教程写了一个接近于实战的教程: 2019 和豆豆一起跟着官网学习 bedtools

但是,如果要想快速上手操作的话,可以使用更简单的数据

1 bedtools intersect

内容依然来自官网:https://bedtools.readthedocs.io/en/latest/content/tools/intersect.html

单个文件的操作是:

$ cat A.bed
chr1  10  20
chr1  30  40

$ cat B.bed
chr1  15   20

$ bedtools intersect -a A.bed -b B.bed
chr1  15   20

image-20200814160146878

多个文件的操作是:

image-20200814160158217

数据准备
$ cat query.bed
chr1  1   20
chr1  40  45
chr1  70  90
chr1  105 120
chr2  1   20
chr2  40  45
chr2  70  90
chr2  105 120
chr3  1   20
chr3  40  45
chr3  70  90
chr3  105 120
chr3  150 200
chr4  10  20

$ cat d1.bed
chr1  5   25
chr1  65  75
chr1  95  100
chr2  5   25
chr2  65  75
chr2  95  100
chr3  5   25
chr3  65  75
chr3  95  100

$ cat d2.bed
chr1  40  50
chr1  110 125
chr2  40  50
chr2  110 125
chr3  40  50
chr3  110 125

$ cat d3.bed
chr1  85  115
chr2  85  115
chr3  85  115
最简单的操作
$ bedtools intersect -a query.bed \
    -b d1.bed d2.bed d3.bed
chr1  5   20
chr1  40  45
chr1  70  75
chr1  85  90
chr1  110 120
chr1  105 115
chr2  5   20
chr2  40  45
chr2  70  75
chr2  85  90
chr2  110 120
chr2  105 115
chr3  5   20
chr3  40  45
chr3  70  75
chr3  85  90
chr3  110 120
chr3  105 115

但通过这个最终结果,我们不知道是query.bed和哪个文件产生的交集

看更详细的结果报告 =》 -wa -wb

加入-wa-wb参数,分别可以输出query文件的区间以及target文件的区间

$ bedtools intersect -wa -wb \
    -a query.bed \
    -b d1.bed d2.bed d3.bed \
    -sorted
chr1  1   20  1 chr1  5   25
chr1  40  45  2 chr1  40  50
chr1  70  90  1 chr1  65  75
chr1  70  90  3 chr1  85  115
chr1  105 120 2 chr1  110 125
chr1  105 120 3 chr1  85  115
chr2  1   20  1 chr2  5   25
chr2  40  45  2 chr2  40  50
chr2  70  90  1 chr2  65  75
chr2  70  90  3 chr2  85  115
chr2  105 120 2 chr2  110 125
chr2  105 120 3 chr2  85  115
chr3  1   20  1 chr3  5   25
chr3  40  45  2 chr3  40  50
chr3  70  90  1 chr3  65  75
chr3  70  90  3 chr3  85  115
chr3  105 120 2 chr3  110 125
chr3  105 120 3 chr3  85  115

现在看到中间部分的1、2、3,它们实际上指的是target文件的位置,不过这样还是需要我们自己去做对应

让中间的文件名称更清楚 =》 -names

使用-names对各个target文件指定一个名称

-sorted的含义是:对染色体和起始坐标进行排序,而且文件越大,sort的优势越明显

$ bedtools intersect -wa -wb \
    -a query.bed \
    -b d1.bed d2.bed d3.bed \
    -names d1 d2 d3 \
    -sorted
chr1  1   20  d1  chr1  5   25
chr1  40  45  d2  chr1  40  50
chr1  70  90  d1  chr1  65  75
chr1  70  90  d3  chr1  85  115
chr1  105 120 d2  chr1  110 125
chr1  105 120 d3  chr1  85  115
chr2  1   20  d1  chr2  5   25
chr2  40  45  d2  chr2  40  50
chr2  70  90  d1  chr2  65  75
chr2  70  90  d3  chr2  85  115
chr2  105 120 d2  chr2  110 125
chr2  105 120 d3  chr2  85  115
chr3  1   20  d1  chr3  5   25
chr3  40  45  d2  chr3  40  50
chr3  70  90  d1  chr3  65  75
chr3  70  90  d3  chr3  85  115
chr3  105 120 d2  chr3  110 125
chr3  105 120 d3  chr3  85  115
还可以直接把对应的target文件名放在中间 =》 -filenames
bedtools intersect -wa -wb \
    -a query.bed \
    -b d1.bed d2.bed d3.bed \
    -sorted \
    -filenames
chr1  1   20  d1.bed  chr1  5   25
chr1  40  45  d2.bed  chr1  40  50
chr1  70  90  d1.bed  chr1  65  75
chr1  70  90  d3.bed  chr1  85  115
chr1  105 120 d2.bed  chr1  110 125
chr1  105 120 d3.bed  chr1  85  115
chr2  1   20  d1.bed  chr2  5   25
chr2  40  45  d2.bed  chr2  40  50
chr2  70  90  d1.bed  chr2  65  75
chr2  70  90  d3.bed  chr2  85  115
chr2  105 120 d2.bed  chr2  110 125
chr2  105 120 d3.bed  chr2  85  115
chr3  1   20  d1.bed  chr3  5   25
chr3  40  45  d2.bed  chr3  40  50
chr3  70  90  d1.bed  chr3  65  75
chr3  70  90  d3.bed  chr3  85  115
chr3  105 120 d2.bed  chr3  110 125
chr3  105 120 d3.bed  chr3  85  115
取出没有任何交集的部分 =》 -v参数
$ bedtools intersect -wa -wb \
    -a query.bed \
    -b d1.bed d2.bed d3.bed \
    -sorted \
    -names d1 d2 d3
    -f 1.0
chr1  40  45  d2  chr1  40  50
chr2  40  45  d2  chr2  40  50
chr3  40  45  d2  chr3  40  50
只输出交集的bp数量 =》 -wo(Write the amount of overlap bp)
$ cat A.bed
chr1    10    20
chr1    30    40

$ cat B.bed
chr1    15  20
chr1    18  25

$ bedtools intersect -a A.bed -b B.bed -wo
# 最后一列表示5bp 和 2bp
chr1    10    20    chr1    15  20  5
chr1    10    20    chr1    18  25  2
不管有没有交集,都输出bp数量 =》 -wao
# 没有交集的输出结果就是0,比如最后一行
$ cat A.bed
chr1    10    20
chr1    30    40

$ cat B.bed
chr1    15  20
chr1    18  25

$ bedtools intersect -a A.bed -b B.bed -wao
chr1    10    20    chr1    15  20  5
chr1    10    20    chr1    18  25  2
chr1    30    40    .       -1  -1  0
如果只想知道A文件的哪一行在B文件有交集,而不关心交集是啥 =》-u(unique)
# 如果不带u,就输出所有的交集
$ cat A.bed
chr1  10  20

$ cat B.bed
chr1  15  20
chr1  17  22

$ bedtools intersect -a A.bed -b B.bed
chr1  15   20
chr1  17   20

# 带上u,就只输出哪一行产生了交集
$ cat A.bed
chr1  10  20

$ cat B.bed
chr1  15  20
chr1  17  22

$ bedtools intersect -a A.bed -b B.bed -u
chr1  10   20
如果只想知道A文件每一行在B文件中有多少交集 =》 -C
$ cat A.bed
chr1    10    20
chr1    30    40

$ cat B.bed
chr1    15  20
chr1    18  25

$ bedtools intersect -a A.bed -b B.bed -c
chr1    10    20    2
chr1    30    40    0
默认交集是1bp,如果想修改 =》 -f(overlap fraction)

比如要求至少存在50%的交集才算

$ cat A.bed
chr1 100 200

$ cat B.bed
chr1 130 201
chr1 180 220

$ bedtools intersect -a A.bed -b B.bed -f 0.50 -wa -wb
chr1 100 200 chr1 130 201
如果存在链的信息,可以强制在同一条链寻找交集 =》 -s
$ cat A.bed
chr1 100 200 a1 100 +

$ cat B.bed
chr1 130 201 b1 100 -
chr1 132 203 b2 100 +

$ bedtools intersect -a A.bed -b B.bed -wa -wb -s
chr1 100 200 a1 100 + chr1 132 203 b2 100 +
如果存在链的信息,可以强制在不同链寻找交集 =》 -S
$ cat A.bed
chr1 100 200 a1 100 +

$ cat B.bed
chr1 130 201 b1 100 -
chr1 132 203 b2 100 +

$ bedtools intersect -a A.bed -b B.bed -wa -wb -S
chr1 100 200 a1 100 + chr1 130 201 b1 100 -
取bam和一个bed坐标文件的交集 =》 -abam

默认是输出bam结果

$ bedtools intersect -abam reads.unsorted.bam -b simreps.bed | \
       samtools view - | \
           head -2

BERTHA_0001:3:1:15:1362#0 99 chr4 9236904 0 50M = 9242033 5 1 7 9
AGACGTTAACTTTACACACCTCTGCCAAGGTCCTCATCCTTGTATTGAAG W c T U ] b \ g c e g X g f c b f c c b d d g g V Y P W W _
\c`dcdabdfW^a^gggfgd XT:A:R NM:i:0 SM:i:0 AM:i:0 X0:i:19 X1:i:2 XM:i:0 XO:i:0 XG:i:0 MD:Z:50
BERTHA _0001:3:1:16:994#0 83 chr6 114221672 37 25S6M1I11M7S =
114216196 -5493 G A A A G G C C A G A G T A T A G A A T A A A C A C A A C A A T G T C C A A G G T A C A C T G T T A
gffeaaddddggggggedgcgeggdegggggffcgggggggegdfggfgf XT:A:M NM:i:3 SM:i:37 AM:i:37 XM:i:2 X O : i :
1 XG:i:1 MD:Z:6A6T3
取bam和一个bed坐标文件的交集,并且输出bed结果 =》-abam + -bed
$ bedtools intersect -abam reads.unsorted.bam -b simreps.bed -bed | head -10

chr4  9236903   9236953   BERTHA_0001:3:1:15:1362#0/1  0   +
chr6  114221671 114221721 BERTHA_0001:3:1:16:994#0/1   37  -
chr8  43835329  43835379  BERTHA_0001:3:1:16:594#0/2   0   -
chr4  49110668  49110718  BERTHA_0001:3:1:31:487#0/1   23  +
chr19 27732052  27732102  BERTHA_0001:3:1:32:890#0/2   46  +
chr19 27732012  27732062  BERTHA_0001:3:1:45:1135#0/1  37  +
chr10 117494252 117494302 BERTHA_0001:3:1:68:627#0/1   37  -
chr19 27731966  27732016  BERTHA_0001:3:1:83:931#0/2   9   +
chr8  48660075  48660125  BERTHA_0001:3:1:86:608#0/2   37  -
chr9  34986400  34986450  BERTHA_0001:3:1:113:183#0/2  37  -
有时需要重新对染色体坐标排序,并重新指定 =》-g

比如原来的genome大小文件是:

$ cat hg19.genome
chr1  249250621
chr10 135534747
chr11 135006516
chr12 133851895
chr13 115169878
chr14 107349540
chr15 102531392
chr16 90354753
chr17 81195210
chr18 78077248
chr19 59128983
chr2  243199373
chr20 63025520
chr21 48129895
chr22 51304566
chr3  198022430
chr4  191154276
chr5  180915260
chr6  171115067
chr7  159138663
chr8  146364022
chr9  141213431
chrM  16571
chrX  155270560
chrY  59373566

现在需要按数值升序排序,而不是按照ASCII排序

$ sort -k1,1V hg19.genome > hg19.versionsorted.genome
$ cat hg19.versionsorted.genome
chr1  249250621
chr2  243199373
chr3  198022430
chr4  191154276
chr5  180915260
chr6  171115067
chr7  159138663
chr8  146364022
chr9  141213431
chr10 135534747
chr11 135006516
chr12 133851895
chr13 115169878
chr14 107349540
chr15 102531392
chr16 90354753
chr17 81195210
chr18 78077248
chr19 59128983
chr20 63025520
chr21 48129895
chr22 51304566
chrM  16571
chrX  155270560
chrY  59373566

最后再按排序后的genome文件找交集

$ bedtools intersect -a a.versionsorted.bam -b b.versionsorted.bed \
    -sorted \
    -g hg19.versionsorted.genome

2 有趣的小功能

只列出最简单的操作,如果遇到类似的问题知道用什么命令即可 还有很多参数就不一一列举,到时再查 全部功能如下:

image-20200814170101649

2.1 从fasta中提取指定坐标的序列 =》getfasta

-fi指定fasta文件;-bed 指定区间坐标

image-20200814163526614

$ cat test.fa
>chr1
AAAAAAAACCCCCCCCCCCCCGCTACTGGGGGGGGGGGGGGGGGG

$ cat test.bed
chr1 5 10

$ bedtools getfasta -fi test.fa -bed test.bed
>chr1:5-10
AAACC

# 指定输出文件
$ bedtools getfasta -fi test.fa -bed test.bed -fo test.fa.out

$ cat test.fa.out
>chr1:5-10
AAACC

2.2 将bam转为bed格式 =》 bamtobed

默认将bam转为6列的bed文件

$ bedtools bamtobed -i reads.bam | head -3
chr7   118970079   118970129   TUPAC_0001:3:1:0:1452#0/1   37   -
chr7   118965072   118965122   TUPAC_0001:3:1:0:1452#0/2   37   +
chr11  46769934    46769984    TUPAC_0001:3:1:0:1472#0/1   37   -

2.3 从bam中提取fastq =》 bamtofastq

$ bedtools bamtofastq -i NA18152.bam -fq NA18152.fq

2.4 12列bed转6列的bed =》 bed12tobed6

BED6表示文件包含bed格式中的前六列,是最为常见的格式; BED12表示文件包含bed格式中的所有12列,含有信息最为全面。

$ head data/knownGene.hg18.chr21.bed | tail -n 3
chr21 10079666  10120808   uc002yiv.1  0  -  10081686  1 0 1 2 0 6 0 8  0     4   528,91,101,215, 0,1930,39750,40927,
chr21 10080031  10081687   uc002yiw.1  0  -  10080031  1 0 0 8 0 0 3 1  0     2   200,91,    0,1565,
chr21 10081660  10120796   uc002yix.2  0  -  10081660  1 0 0 8 1 6 6 0  0     3   27,101,223,0,37756,38913,

$ head data/knownGene.hg18.chr21.bed | tail -n 3 | bed12ToBed6 -i stdin
chr21 10079666  10080194  uc002yiv.1 0  -
chr21 10081596  10081687  uc002yiv.1 0  -
chr21 10119416  10119517  uc002yiv.1 0  -
chr21 10120593  10120808  uc002yiv.1 0  -
chr21 10080031  10080231  uc002yiw.1 0  -
chr21 10081596  10081687  uc002yiw.1 0  -
chr21 10081660  10081687  uc002yix.2 0  -
chr21 10119416  10119517  uc002yix.2 0  -
chr21 10120573  10120796  uc002yix.2 0  -

tip:如果一个基因原来的BED12文件中一行记录有6个外显子,那么会将原来一行转为6行外显子信息存储在BED6中

2.5 合并坐标文件中的区间 =》merge

需要先排序: sort -k1,1 -k2,2n in.bed > in.sorted.bed

image-20200814170221266

# 说明:bedtools merge [OPTIONS] -i <BED/GFF/VCF/BAM>
$ cat A.bed
chr1  100  200
chr1  180  250
chr1  250  500
chr1  501  1000

$ bedtools merge -i A.bed
chr1  100  500
chr1  501  1000

# -d参数设置距离多远的两个坐标可以合并,比如上图的-d 10,就把input中相距10bp的两块合并了
Yunze Liu
Yunze Liu
Bioinformatics Sharer

Co-founder of Bioinfoplanet(生信星球)

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