tophat输出结果junction.bed

BED format  
 
 

BED format provides a flexible way to define the data lines that are displayed in an annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used.

If your data set is BED-like, but it is very large and you would like to keep it on your own server, you should use the bigBed data format.

The first three required BED fields are:

  1. chrom - The name of the chromosome (e.g. chr3, chrY, chr2_random) or scaffold (e.g. scaffold10671).
  2. chromStart - The starting position of the feature in the chromosome or scaffold. The first base in a chromosome is numbered 0.
  3. chromEnd - The ending position of the feature in the chromosome or scaffold. The chromEnd base is not included in the display of the feature. For example, the first 100 bases of a chromosome are defined as chromStart=0, chromEnd=100, and span the bases numbered 0-99.

The 9 additional optional BED fields are:

  1. name - Defines the name of the BED line. This label is displayed to the left of the BED line in the Genome Browser window when the track is open to full display mode or directly to the left of the item in pack mode.
  2. score - A score between 0 and 1000. If the track line useScore attribute is set to 1 for this annotation data set, the score value will determine the level of gray in which this feature is displayed (higher numbers = darker gray). This table shows the Genome Browser's translation of BED score values into shades of gray:
    shade                  
    score in range   ≤ 166 167-277 278-388 389-499 500-611 612-722 723-833 834-944 ≥ 945
  3. strand - Defines the strand - either '+' or '-'.
  4. thickStart - The starting position at which the feature is drawn thickly (for example, the start codon in gene displays).
  5. thickEnd - The ending position at which the feature is drawn thickly (for example, the stop codon in gene displays).
  6. itemRgb - An RGB value of the form R,G,B (e.g. 255,0,0). If the track line itemRgb attribute is set to "On", this RBG value will determine the display color of the data contained in this BED line. NOTE: It is recommended that a simple color scheme (eight colors or less) be used with this attribute to avoid overwhelming the color resources of the Genome Browser and your Internet browser.
  7. blockCount - The number of blocks (exons) in the BED line.
  8. blockSizes - A comma-separated list of the block sizes. The number of items in this list should correspond to blockCount.
  9. blockStarts - A comma-separated list of block starts. All of the blockStart positions should be calculated relative to chromStart. The number of items in this list should correspond to blockCount.

Example:
Here's an example of an annotation track that uses a complete BED definition:

track name=pairedReads description="Clone Paired Reads" useScore=1
chr22 1000 5000 cloneA 960 + 1000 5000 0 2 567,488, 0,3512
chr22 2000 6000 cloneB 900 - 2000 6000 0 2 433,399, 0,3601

Example:
This example shows an annotation track that uses the itemRgb attribute to
individually color each data line. In this track, the color scheme distinguishes
between items named "Pos*" and those named "Neg*". See the
usage note in the itemRgb description above for color palette
restrictions.
NOTE: The track and data lines in this example have been reformatted for
documentation purposes. This example can be pasted into the browser without editing.

browser position chr7:127471196-127495720
browser hide all
track name="ItemRGBDemo" description="Item RGB demonstration" visibility=2
itemRgb="On"
chr7 127471196 127472363 Pos1 0 + 127471196 127472363 255,0,0
chr7 127472363 127473530 Pos2 0 + 127472363 127473530 255,0,0
chr7 127473530 127474697 Pos3 0 + 127473530 127474697 255,0,0
chr7 127474697 127475864 Pos4 0 + 127474697 127475864 255,0,0
chr7 127475864 127477031 Neg1 0 - 127475864 127477031 0,0,255
chr7 127477031 127478198 Neg2 0 - 127477031 127478198 0,0,255
chr7 127478198 127479365 Neg3 0 - 127478198 127479365 0,0,255
chr7 127479365 127480532 Pos5 0 + 127479365 127480532 255,0,0
chr7 127480532 127481699 Neg4 0 - 127480532 127481699 0,0,255

Example:
It is also possible to color items by strand in a BED track
using the colorByStrand attribute in the
track line as shown
below. For BED tracks, this attribute functions only for custom tracks
with 6 to 8 fields (i.e. BED6 through BED8).
NOTE: The track and data lines in this example have been reformatted for
documentation purposes. This example can be pasted into the browser without editing.

browser position chr7:127471196-127495720
browser hide all
track name="ColorByStrandDemo" description="Color by strand demonstration"
visibility=2 colorByStrand="255,0,0 0,0,255"
chr7 127471196 127472363 Pos1 0 +
chr7 127472363 127473530 Pos2 0 +
chr7 127473530 127474697 Pos3 0 +
chr7 127474697 127475864 Pos4 0 +
chr7 127475864 127477031 Neg1 0 -
chr7 127477031 127478198 Neg2 0 -
chr7 127478198 127479365 Neg3 0 -
chr7 127479365 127480532 Pos5 0 +
chr7 127480532 127481699 Neg4 0 -

tophat输出结果junction.bed中定义的junction就是中间是intron两边是exon的这种序列结构, JUNC00000001包含两个exon和中间的intron

cat junctions.bed

track name=junctions description="TopHat junctions"
test_chromosome 177 400 JUNC00000001 61 + 177 400 255,0,0 2 73,50 0,173
test_chromosome 350 550 JUNC00000002 45 + 350 550 255,0,0 2 50,50 0,150

exon1: 177-250(display), 177-249(actual)
intron: 250-350(display), 250-349(actual)
exon2: 350-400(display), 350-399(actual)

chrom(test_chromosome): The name of the chromosome.
这里就是test_chromosome
chromStart(177): The starting position of the feature in the
chromosome or scaffold. The first base in a chromosome is numbered
0
.
chromosome上feature(在这里就是junction)的起始位置
chromEnd(400): The ending position of the feature in the chromosome
or scaffold. The chromEnd base is not included in the display of
the feature. For example,
the first 100 bases of a chromosome are
defined as chromStart=0, chromEnd=100, and span the bases numbered
0-99.

对应的终止位置
name(JUNC00000001): Defines the name of the BED line.
score(61): A score between 0 and 1000.
strand(+): Defines the strand: either '+' or '-'.
thickStart(177): The starting position at which the feature is
drawn thickly (for example, the start codon in gene
displays).
thickEnd(400): The ending position at which the feature is drawn
thickly (for example, the stop codon in gene displays).
itemRgb(255,0,0): An RGB value of the form R,G,B (e.g. 255,0,0). If
the track line itemRgb attribute is set to "On", this RBG value
will determine the display color of the data contained in this BED
line. NOTE: It is recommended that a simple color scheme (eight
colors or less) be used with this attribute to avoid overwhelming
the color resources of the Genome Browser and your Internet
browser.
blockCount(2): The number of blocks (exons) in the BED line.
外显子个数,2个
blockSizes(73,50): A comma-separated list of the block sizes. The
number of items in this list should correspond to
blockCount.外显子大小,两个数字用逗号隔开
blockStarts(0,173): A comma-separated list of block starts. All of
the blockStart positions should be calculated relative to
chromStart. The number of items in this list should correspond to
blockCount.
外显子起始位置,不从chromosome的起始开始,而是从chromStart开始数,也就是junction的起始位置开始计算,第一个碱基是0

bed_to_junc转换后得到.juncs其中只保留了junction中intron的部分
cat new_list.juncs

test_chromosome 249     350     +
test_chromosome 399 500 +

<chrom> <left> <right> <+/->

http://genome.ucsc.edu/FAQ/FAQformat.html#format1

http://www.ensembl.org/info/website/upload/bed.html
http://zhongguozhanying.blog.163.com/blog/static/21618709520135484450746/
http://blog.sina.com.cn/s/blog_7cffd14001012rtd.html
https://github.com/WormBase/wormbase-pipeline/blob/master/scripts/align_RNASeq.pl

tophat输出结果junction.bed的更多相关文章

  1. 使用Tophat+cufflinks分析差异表达

    使用Tophat+cufflinks分析差异表达  2017-06-15 19:09:43     522     0     0 使用TopHat+Cufflinks的流程图 序列的比对是RNA分析 ...

  2. RNA-seq连特异性

    RNA-seq连特异性 Oct 15, 2015 The strandness of RNA-seq analysis 前段时间一直在研究关于illumina TrueSeq stranded RNA ...

  3. tophat的用法

    概述:tophat是以bowtie2为核心的一款比对软件. tophat工作分两步: 1.将reads用bowtie比对到参考基因组上. 2.将unmapped-reads打断成更小的fragment ...

  4. TopHat

    What is TopHat? TopHat is a program that aligns RNA-Seq reads to a genome in order to identify exon- ...

  5. RNA-seq差异表达基因分析之TopHat篇

    RNA-seq差异表达基因分析之TopHat篇 发表于2012 年 10 月 23 日 TopHat是基于Bowtie的将RNA-Seq数据mapping到参考基因组上,从而鉴定可变剪切(exon-e ...

  6. poj 1041(字典序输出欧拉回路)

    John's trip Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 8641   Accepted: 2893   Spe ...

  7. 链终止法|边合成边测序|Bowtie|TopHat|Cufflinks|RPKM|FASTX-Toolkit|fastaQC|基因芯片|桥式扩增|

    生物信息学 Sanger采用链终止法进行测序 带有荧光基团的ddXTP+其他四种普通的脱氧核苷酸放入同一个培养皿中,例如带有荧光基团的ddATP+普通的脱氧核苷酸A.T.C.G放入同一个培养皿,以此类 ...

  8. mapreduce多文件输出的两方法

    mapreduce多文件输出的两方法   package duogemap;   import java.io.IOException;   import org.apache.hadoop.conf ...

  9. Android Studio 多个编译环境配置 多渠道打包 APK输出配置

    看完这篇你学到什么: 熟悉gradle的构建配置 熟悉代码构建环境的目录结构,你知道的不仅仅是只有src/main 开发.生成环境等等环境可以任意切换打包 多渠道打包 APK输出文件配置 需求 一般我 ...

随机推荐

  1. discuz random函数

    在研究邮箱非必填的过程中发现了个比较好用的random函数,在function_core.php中找到声明: function random($length, $numeric = 0) { $see ...

  2. oracle中的decode的使用

    含义解释:decode(条件,值1,返回值1,值2,返回值2,...值n,返回值n,缺省值) 该函数的含义如下:IF 条件=值1 THEN RETURN(翻译值1)ELSIF 条件=值2 THEN R ...

  3. Python问题之奇怪诡异的Bug

    最近又重新装上了windows 7感觉还是那样,主要是想用M8SDK写些程序.也想在windows上玩玩,一直都觉得用C写一些常用的东东很复杂,只有借助于解释性语言了,在python, ruby间选择 ...

  4. Python调用C模块以及性能分析

    一.c,ctypes和python的数据类型的对应关系 ctypes type ctype Python type c_char char 1-character string c_wchar wch ...

  5. WPF中Expander控件样式,ListBox的样式(带checkbox)恢复

    Expander控件样式: <ControlTemplate x:Key="ExpanderToggleButton" TargetType="ToggleButt ...

  6. UVA 524

    Description   A ring is composed of n (even number) circles as shown in diagram. Put natural numbers ...

  7. MySQL Partition分区扫盲

    MySQL从5..3开始支持Partition,你可以使用如下命令来确认你的版本是否支持Partition: mysql> SHOW VARIABLES LIKE '%partition%'; ...

  8. ubuntu find方法

    通用格式:find pathname -options [-print -exec -ok]例子:find / -name filename 再根目录里面搜索文件名为filename的文件find / ...

  9. .NET安装和配置Oracle数据访问组件(ODAC)

    Many ASP.NET applications access Oracle database for the data source. Oracle supports the .NET with ...

  10. php生成xml的四种方法(转)

    <?xml version="1.0" encoding="utf-8"?> <article> <item> <ti ...