[Bioc-sig-seq] BED file parser

Martin Morgan mtmorgan at fhcrc.org
Wed Mar 9 18:34:16 CET 2011


On 03/09/2011 08:18 AM, Ivan Gregoretti wrote:
> I use BED because it uses less memory.
> 
> BAM format contains the read names, the sequences, the quality string
> and more information. I do not need that. I only need chromosome name,
> start, end, and strand.

In Rsamtools, scanBam with param=ScanBamParam(what=c("qname", "pos",
"qwidth", "strand")) and it'll be very fast.

see ?scanBam, ?ScanBamParam and the vignette.

Martin

> 
> So, for almost all my analyses, I start by converting my .bam to a
> minimalistic .bed.gz outside R and then from R I load my tags into a
> GRanges with import().
> 
> As simple as that.
> 
> Ivan
> 
> 
> Ivan Gregoretti, PhD
> National Institute of Diabetes and Digestive and Kidney Diseases
> National Institutes of Health
> 5 Memorial Dr, Building 5, Room 205.
> Bethesda, MD 20892. USA.
> Phone: 1-301-496-1016 and 1-301-496-1592
> Fax: 1-301-496-9878
> 
> 
> 
> On Wed, Mar 9, 2011 at 10:51 AM, Michael Lawrence
> <lawrence.michael at gene.com> wrote:
>>
>>
>> On Wed, Mar 9, 2011 at 7:33 AM, Ivan Gregoretti <ivangreg at gmail.com> wrote:
>>>
>>> I find simple BED files to be slow to import. I only use BED without
>>> track headers. The data is derived mostly from *-seq so we are talking
>>> about multiple million lines per file.
>>>
>>> The problem as I understand it is that the function reads one row at a
>>> time. It could be much faster if it read, say, 1000 rows at a time.
>>>
>>
>> I hope it's not reading one row at a time. It just calls read.table(), in a
>> fairly efficient way, with colClasses specified, etc. Why do you have high
>> throughput sequencing results in BED files? BED is really for genes. Most
>> other things fit into BAM, bedGraph (which uses the same basic parser
>> though), WIG, etc.
>>
>>>
>>> I never get errors. There are no bugs to fix. It's just very slow for
>>> the real world of high throughput sequencing. That's all.
>>>
>>> Thanks,
>>>
>>> Ivan
>>>
>>>
>>> Ivan Gregoretti, PhD
>>> National Institute of Diabetes and Digestive and Kidney Diseases
>>> National Institutes of Health
>>> 5 Memorial Dr, Building 5, Room 205.
>>> Bethesda, MD 20892. USA.
>>> Phone: 1-301-496-1016 and 1-301-496-1592
>>> Fax: 1-301-496-9878
>>>
>>>
>>>
>>> On Wed, Mar 9, 2011 at 10:21 AM, Michael Lawrence
>>> <lawrence.michael at gene.com> wrote:
>>>>
>>>>
>>>> On Wed, Mar 9, 2011 at 6:41 AM, Ivan Gregoretti <ivangreg at gmail.com>
>>>> wrote:
>>>>>
>>>>> Just to expand a little bit Vincent's response.
>>>>>
>>>>> If you happen to be handling very large BED files, you probably keep
>>>>> them compressed. The good news is that even in that case, you can load
>>>>> them:
>>>>>
>>>>> lit = import("~/lit.bed.gz"."bed")
>>>>>
>>>>> There is still the long-standing issue of how slow the import()
>>>>> function is but I am still hopeful.
>>>>>
>>>>
>>>> This is the first I've heard of this. What sort of files are slow? Do
>>>> they
>>>> have a track line? The parsing gets complicated when there are track
>>>> lines
>>>> and multiple tracks in a file. BED is a complex format with many
>>>> variants.
>>>>
>>>>>
>>>>> Ivan
>>>>>
>>>>> Ivan Gregoretti, PhD
>>>>> National Institute of Diabetes and Digestive and Kidney Diseases
>>>>> National Institutes of Health
>>>>> 5 Memorial Dr, Building 5, Room 205.
>>>>> Bethesda, MD 20892. USA.
>>>>> Phone: 1-301-496-1016 and 1-301-496-1592
>>>>> Fax: 1-301-496-9878
>>>>>
>>>>>
>>>>>
>>>>> On Tue, Mar 8, 2011 at 9:26 PM, Vincent Carey
>>>>> <stvjc at channing.harvard.edu> wrote:
>>>>>> 2011/3/8 Thiago Yukio Kikuchi Oliveira <stratust at gmail.com>:
>>>>>>> Hi,
>>>>>>>
>>>>>>> Is there a BED file parser for R?
>>>>>>
>>>>>> I suppose it depends on what you mean by "parser".  import() from the
>>>>>> rtracklayer package imports BED and constructs and populates a
>>>>>> RangedData object with the contents.  Here we look at a small bed
>>>>>> file
>>>>>> in text,
>>>>>> start R, load rtracklayer, import the data, show the result, and show
>>>>>> the resources used.
>>>>>>
>>>>>> bash-3.2$ head ~/junc716_20.bed
>>>>>> chr20   55658   64827   JUNC00000001    14      +       55658   64827
>>>>>>  255,0,0 2       27,25   0,9144
>>>>>> chr20   55662   64821   JUNC00000002    2       -       55662   64821
>>>>>>  255,0,0 2       34,8    0,9151
>>>>>> chr20   135774  147029  JUNC00000003    1       -       135774
>>>>>>  147029
>>>>>>  255,0,0 2       8,29    0,11226
>>>>>> chr20   167951  172361  JUNC00000004    1       +       167951
>>>>>>  172361
>>>>>>  255,0,0 2       29,8    0,4402
>>>>>> chr20   189824  192113  JUNC00000005    3       +       189824
>>>>>>  192113
>>>>>>  255,0,0 2       33,9    0,2280
>>>>>> chr20   189829  192113  JUNC00000006    3       +       189829
>>>>>>  192113
>>>>>>  255,0,0 2       32,9    0,2275
>>>>>> chr20   193930  199576  JUNC00000007    4       -       193930
>>>>>>  199576
>>>>>>  255,0,0 2       28,11   0,5635
>>>>>> chr20   207050  207846  JUNC00000008    2       -       207050
>>>>>>  207846
>>>>>>  255,0,0 2       20,34   0,762
>>>>>> chr20   218306  218925  JUNC00000009    1       -       218306
>>>>>>  218925
>>>>>>  255,0,0 2       11,26   0,593
>>>>>> chr20   221160  225070  JUNC00000010    25      -       221160
>>>>>>  225070
>>>>>>  255,0,0 2       29,9    0,3901
>>>>>> bash-3.2$ head ~/junc716_20.bed > ~/lit.bed
>>>>>> bash-3.2$ R213 --vanilla --quiet
>>>>>>> library(rtracklayer)
>>>>>> Loading required package: RCurl
>>>>>> Loading required package: bitops
>>>>>>> lit = import("~/lit.bed")
>>>>>>> lit
>>>>>> RangedData with 10 rows and 9 value columns across 1 space
>>>>>>         space           ranges |         name     score      strand
>>>>>> thickStart
>>>>>>   <character>        <IRanges> |  <character> <numeric> <character>
>>>>>>  <integer>
>>>>>> 1        chr20 [ 55659,  64827] | JUNC00000001        14           +
>>>>>>  55658
>>>>>> 2        chr20 [ 55663,  64821] | JUNC00000002         2           -
>>>>>>  55662
>>>>>> 3        chr20 [135775, 147029] | JUNC00000003         1           -
>>>>>> 135774
>>>>>> 4        chr20 [167952, 172361] | JUNC00000004         1           +
>>>>>> 167951
>>>>>> 5        chr20 [189825, 192113] | JUNC00000005         3           +
>>>>>> 189824
>>>>>> 6        chr20 [189830, 192113] | JUNC00000006         3           +
>>>>>> 189829
>>>>>> 7        chr20 [193931, 199576] | JUNC00000007         4           -
>>>>>> 193930
>>>>>> 8        chr20 [207051, 207846] | JUNC00000008         2           -
>>>>>> 207050
>>>>>> 9        chr20 [218307, 218925] | JUNC00000009         1           -
>>>>>> 218306
>>>>>> 10       chr20 [221161, 225070] | JUNC00000010        25           -
>>>>>> 221160
>>>>>>    thickEnd     itemRgb blockCount  blockSizes blockStarts
>>>>>>   <integer> <character>  <integer> <character> <character>
>>>>>> 1      64827     #FF0000          2       27,25      0,9144
>>>>>> 2      64821     #FF0000          2        34,8      0,9151
>>>>>> 3     147029     #FF0000          2        8,29     0,11226
>>>>>> 4     172361     #FF0000          2        29,8      0,4402
>>>>>> 5     192113     #FF0000          2        33,9      0,2280
>>>>>> 6     192113     #FF0000          2        32,9      0,2275
>>>>>> 7     199576     #FF0000          2       28,11      0,5635
>>>>>> 8     207846     #FF0000          2       20,34       0,762
>>>>>> 9     218925     #FF0000          2       11,26       0,593
>>>>>> 10    225070     #FF0000          2        29,9      0,3901
>>>>>>
>>>>>>> sessionInfo()
>>>>>> R version 2.13.0 Under development (unstable) (2011-03-01 r54628)
>>>>>> Platform: x86_64-apple-darwin10.4.0/x86_64 (64-bit)
>>>>>>
>>>>>> locale:
>>>>>> [1] C
>>>>>>
>>>>>> attached base packages:
>>>>>> [1] stats     graphics  grDevices utils     datasets  methods   base
>>>>>>
>>>>>> other attached packages:
>>>>>> [1] rtracklayer_1.11.11 RCurl_1.5-0         bitops_1.0-4.1
>>>>>>
>>>>>> loaded via a namespace (and not attached):
>>>>>> [1] BSgenome_1.19.4      Biobase_2.11.9       Biostrings_2.19.15
>>>>>> [4] GenomicRanges_1.3.23 IRanges_1.9.25       Matrix_0.999375-47
>>>>>> [7] XML_3.2-0            grid_2.13.0          lattice_0.19-17
>>>>>>
>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Thanks
>>>>>>>
>>>>>>>     /    Thiago Yukio Kikuchi Oliveira
>>>>>>> (=\
>>>>>>>   \=) Faculdade de Medicina de Ribeirão Preto
>>>>>>>    /   Laboratório de Genética Molecular e Bioinformática
>>>>>>>   /=)
>>>>>>> -----------------------------------------------------------------
>>>>>>> (=/   Centro de Terapia Celular/CEPID/FAPESP - Hemocentro de Rib.
>>>>>>> Preto
>>>>>>>   /    Rua Tenente Catão Roxo, 2501 CEP 14151-140
>>>>>>> (=\   Ribeirão Preto - São Paulo
>>>>>>>   \=) Fone: 55 16 2101-9300   Ramal: 9603
>>>>>>>    /   E-mail: stratus at lgmb.fmrp.usp.br
>>>>>>>   /=)            stratust at gmail.com
>>>>>>> (=/
>>>>>>>   /    Bioinformatic Team - BiT: http://lgmb.fmrp.usp.br
>>>>>>> (=\   Hemocentro de Ribeirão Preto: http://pegasus.fmrp.usp.br
>>>>>>>   \=)
>>>>>>>    /
>>>>>>> -----------------------------------------------------------------
>>>>>>>
>>>>>>> _______________________________________________
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>>>>>>> Bioc-sig-sequencing at r-project.org
>>>>>>> https://stat.ethz.ch/mailman/listinfo/bioc-sig-sequencing
>>>>>>>
>>>>>>
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>>>>>>
>>>>>
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>>>>
>>>>
>>
>>
> 
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