[BioC] ChIPpeakAnno::getEnrichedGo crashes but I don't know why

Eric Cabot elcabot at gmail.com
Wed Jan 5 23:31:41 CET 2011


Julie,

   I don't know how to do that in R. I guess I can always export the 
annotations, do the association in Perl and re-import them as a vector to 
use with getEnrichedGo.

Eric

Zhu, Lihua (Julie) wrote:
> Eric,
> 
> You could convert the exon IDs associated with the peaks to ensemble gene
> IDs and input these ensemble gene IDs to the getEnrichedGO function.
> 
> Best regards,
> 
> Julie
> 
> 
> On 1/5/11 4:09 PM, "Eric Cabot" <elcabot at gmail.com> wrote:
> 
>> Hi Julie,
>>
>>    It may be a while before I get back to you on this, because I did my
>> mapping and ChIP-Seq analysis with Hg19 (NCBI 37), not Hg18 (NCBI 36).
>> I'm also a little concerned about using transcription start site
>> annotations rather than exons, because the the binding domains are not
>> thought to be restricted to only promoters.  Any suggestions?
>>
>> Eric
>>
>>
>>
>> Zhu, Lihua (Julie) wrote:
>>> Eric,
>>>
>>> The annotated dataset has exon ID instead of gene ID while the getEnrichedGO
>>> is expecting feature_id_type="ensembl_gene_id". For a list of supported
>>> feature_id_type, please type ?getEnrichedGO.
>>>
>>> To use getEnrichedGO function, first get the TSS annotation.
>>>
>>> TSS.human.NCBI36 = getAnnotation(ENSEMBLE_GENES_MART, featureType="TSS")
>>>
>>> or use the build in TSS as
>>>
>>> data(TSS.human.NCBI36)
>>>
>>> Then annotate your peaks with TSS.human.NCBI36 followed by getEnrichedGO
>>> call.
>>>
>>> Please let me know if this works for you.
>>>
>>> Best regards,
>>>
>>> Julie
>>>
>>>
>>>
>>>
>>> On 1/5/11 12:29 PM, "Eric Cabot" <elcabot at gmail.com> wrote:
>>>
>>>> Hi Julie,
>>>>
>>>>   Thank you for your response.
>>>>
>>>> Here is the sessionInfo and traceback output and also a few lines of
>>>> "my_annotated_regions".
>>>>
>>>> Regards,
>>>>
>>>> Eric Cabot
>>>>
>>>>> sessionInfo()
>>>> R version 2.12.1 (2010-12-16)
>>>> Platform: x86_64-unknown-linux-gnu (64-bit)
>>>>
>>>> locale:
>>>>   [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
>>>>   [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
>>>>   [5] LC_MONETARY=C              LC_MESSAGES=en_US.UTF-8
>>>>   [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
>>>>   [9] LC_ADDRESS=C               LC_TELEPHONE=C
>>>> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
>>>>
>>>> attached base packages:
>>>> [1] stats     graphics  grDevices utils     datasets  methods   base
>>>>
>>>> other attached packages:
>>>>   [1] ChIPpeakAnno_1.6.0                  limma_3.6.9
>>>>   [3] org.Hs.eg.db_2.4.6                  GO.db_2.4.5
>>>>   [5] RSQLite_0.9-4                       DBI_0.2-5
>>>>   [7] AnnotationDbi_1.12.0
>>>> BSgenome.Ecoli.NCBI.20080805_1.3.16
>>>>   [9] BSgenome_1.18.2                     GenomicRanges_1.2.2
>>>> [11] Biostrings_2.18.2                   IRanges_1.8.8
>>>> [13] multtest_2.6.0                      Biobase_2.10.0
>>>> [15] biomaRt_2.6.0
>>>>
>>>> loaded via a namespace (and not attached):
>>>> [1] MASS_7.3-9      RCurl_1.5-0     splines_2.12.1  survival_2.36-2
>>>> [5] tools_2.12.1    XML_3.2-0
>>>> my_enrichedGO<-getEnrichedGO(my_annotated_regions,orgAnn="org.Hs.eg.db",maxP
>>>> =0
>>>> .01,multiAdj=FALSE,minGOterm=1,feature_id_type="ensembl_gene_id")
>>>> Error in if (class(go.ids) != "matrix" | dim(go.ids)[2] < 4) { :
>>>>    argument is of length zero
>>>>> traceback()
>>>> 2: addAncestors(this.GO[this.GO[, 3] == "BP", ], "bp")
>>>> 1: getEnrichedGO(FC2_annotated_regions, orgAnn = "org.Hs.eg.db",
>>>>         maxP = 0.01, multiAdj = FALSE, minGOterm = 1, feature_id_type =
>>>> "ensembl_gene_id")
>>>>
>>>>
>>>>
>>>>> as.data.frame(my_annotated_regions[1:15,])
>>>>     space     start       end width                   names    peak strand
>>>> 1      1 241997936 241998205   270 R-10060 ENSE00001749374 R-10060      +
>>>> 2      1 237109743 237110002   260 R-10082 ENSE00001643382 R-10082      +
>>>> 3      1 236080267 236080415   149 R-10086 ENSE00001807176 R-10086      +
>>>> 4      1 233853245 233853514   270 R-10096 ENSE00001776382 R-10096      +
>>>> 5      1 233727956 233728104   149 R-10097 ENSE00001442190 R-10097      +
>>>> 6      1 230728554 230728823   270 R-10108 ENSE00001731401 R-10108      +
>>>> 7      1 229687129 229687277   149 R-10113 ENSE00001439385 R-10113      +
>>>> 8      1 228943263 228943412   150 R-10121 ENSE00001903546 R-10121      +
>>>> 9      1 218358885 218359176   292 R-10157 ENSE00001439386 R-10157      +
>>>> 10     1 212254259 212254408   150 R-10179 ENSE00001624346 R-10179      +
>>>> 11     1 210086264 210086513   250 R-10184 ENSE00001903225 R-10184      +
>>>> 12     1 209863549 209863698   150 R-10185 ENSE00001336255 R-10185      +
>>>> 13     1 207437117 207437264   148 R-10190 ENSE00001742112 R-10190      +
>>>> 14     1 190352400 190352548   149 R-10246 ENSE00001782518 R-10246      +
>>>> 15     1 184432607 184432755   149 R-10260 ENSE00001283926 R-10260      +
>>>>             feature start_position end_position insideFeature
>>>> distancetoFeature
>>>> 1  ENSE00001749374      241995237    241996089    downstream
>>>> 2699
>>>> 2  ENSE00001643382      237144639    237145008      upstream
>>>> -34896
>>>> 3  ENSE00001807176      236078715    236078821    downstream
>>>> 1552
>>>> 4  ENSE00001776382      233807017    233807237    downstream
>>>> 46228
>>>> 5  ENSE00001442190      233749750    233750272      upstream
>>>> -21794
>>>> 6  ENSE00001731401      230728406    230728586    overlapEnd
>>>> 148
>>>> 7  ENSE00001439385      229685652    229685769    downstream
>>>> 1477
>>>> 8  ENSE00001903546      228882063    228882416    downstream
>>>> 61200
>>>> 9  ENSE00001439386      218303137    218303294    downstream
>>>> 55748
>>>> 10 ENSE00001624346      212253973    212254092    downstream
>>>> 286
>>>> 11 ENSE00001903225      210111538    210111622      upstream
>>>> -25274
>>>> 12 ENSE00001336255      209859550    209859630    downstream
>>>> 3999
>>>> 13 ENSE00001742112      207438342    207438381      upstream
>>>> -1225
>>>> 14 ENSE00001782518      190331193    190331400    downstream
>>>> 21207
>>>> 15 ENSE00001283926      184446520    184446737      upstream
>>>> -13913
>>>>     shortestDistance fromOverlappingOrNearest
>>>> 1              1847             NearestStart
>>>> 2             34637             NearestStart
>>>> 3              1446             NearestStart
>>>> 4             46008             NearestStart
>>>> 5             21646             NearestStart
>>>> 6                32             NearestStart
>>>> 7              1360             NearestStart
>>>> 8             60847             NearestStart
>>>> 9             55591             NearestStart
>>>> 10              167             NearestStart
>>>> 11            25025             NearestStart
>>>> 12             3919             NearestStart
>>>> 13             1078             NearestStart
>>>> 14            21000             NearestStart
>>>> 15            13765             NearestStart
>>>>
>>>>
>>>> Zhu, Lihua (Julie) wrote:
>>>>> Hi Eric,
>>>>>
>>>>> Could you please post the session information with sessionInfo() command?
>>>>> Could you please also send a few ensembl IDs in your annotated dataset?
>>>>> Thanks!
>>>>>
>>>>> Best regards,
>>>>>
>>>>> Julie
>>>>>
>>>>>
>>>>> On 1/4/11 6:51 PM, "Eric Cabot" <elcabot at gmail.com> wrote:
>>>>>
>>>>>> I am a relatively new Bioconductor user and I am trying to analyze some
>>>>>> ChIP-seq results that came from QuEST using the ChIPpeakAnno package.
>>>>>>
>>>>>> After importing the regions of interest into RangedData objects and doing
>>>>>> the following:
>>>>>>
>>>>>>
>>>>> ENSEMBLE_GENES_MART<-useMart(biomart="ensembl",dataset="hsapiens_gene_ensem
>>>>> bl
>>>>> ">
>>>>> )
>>>>>> ENSEMBL_ExonPlus_Annotation<-getAnnotation(ENSEMBLE_GENES_MART,
>>>>>> featureType="ExonPlusUtr")
>>>>>>
>>>>>>
>>>>>> I had no problem annotating  and generating  a Venn diagram to show the
>>>>>> overlaps between my three sets of peaks. To annotate, I used:
>>>>>>
>>>>>> annotated_regions=annotatePeakInBatch(myranged,
>>>>>> AnnotationData=ENSEMBL_ExonPlus_Annotation)
>>>>>>
>>>>>>
>>>>>> But I cannot seem to get the getEnrichedGo method to work on this (or my
>>>>>> other two annotated regions). Here is a typical command line:
>>>>>>
>>>>>>
>>>>>> my_enrichedGO<-getEnrichedGO(annotated_regions,orgAnn="org.Hs.eg.db",maxP=
>>>>>> 0.
>>>>>> 01
>>>>>> ,multiAdj=TRUE,minGOterm=1,
>>>>>> multiAdjMethod="BH",feature_id_type="ensembl_gene_id")
>>>>>>
>>>>>> and here is a typical error message:
>>>>>>
>>>>>> enrichedGO<-getEnrichedGO(annotated_regions,orgAnn="org.Hs.eg.db",maxP=0.0
>>>>>> 1,
>>>>>> mu
>>>>>> ltiAdj=TRUE,minGOterm=1,feature_id_type="ensembl_gene_id")
>>>>>> Error in if (class(go.ids) != "matrix" | dim(go.ids)[2] < 4) { :
>>>>>>    argument is of length zero
>>>>>>
>>>>>>
>>>>>> Which leads me to ask:
>>>>>>
>>>>>> 1) Is this error message supposed to be meaningful to me-i.e. a user-or is
>>>>>> it something that I should be sending to the developer of the package?
>>>>>>
>>>>>> 2) Is there anything obvious from this that suggests what corrective
>>>>>> action I should be taking?
>>>>>>
>>>>>>
>>>>>> Eric Cabot
>>>>>> University of Wisconsin
>>>>>>
>>>>>> _______________________________________________
>>>>>> Bioconductor mailing list
>>>>>> Bioconductor at r-project.org
>>>>>> https://stat.ethz.ch/mailman/listinfo/bioconductor
>>>>>> Search the archives:
>>>>>> http://news.gmane.org/gmane.science.biology.informatics.conductor
>>>>>>
>>>
> 
>



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