Regarding somatic signature package
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sj1 ▴ 10
@sj1-9565
Last seen 8.4 years ago

Hi,

I have gone through your paper, Inferring Somatic Signatures from Single Nucleotide Variant Calls and I want to run somatic signature package on the exome samples.Sir, I want to know the structure of the input file,the problem that I am facing is not able to export the datasets of the SomaticCancerAlterations package while I have successfully exported the datasets of SomaticSignatures package.I have already run this package for the demo data supplied with this package.

The error that I am getting while exporting the datasets of the SomaticCancerAlterations package is

Error in as.vector(x) : no method for coercing this S4 class to a vector

Looking for your response.

Swati
somatic signature • 2.6k views
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Hi Swati, there is little information that can help us understand the problem. Can you please provide a minimal example that produces your error, along with the information mentioned in the posting guide? This would be very helpful.

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To export one of the dataset of the SomaticSignatures package dataset in R I have used this command

data(sca_mm)

write.table(sca_mm, "/location to store data/sca_mm.txt", sep="\t"), this is working fine but while exporting one of the dataset of SomaticCancerAlterations package using

data(gbm_tcga)

write.table(gbm_tcga, "/location to store data/gbm_tcga.txt", sep="\t") , getting error as.vector(x) : no method for coercing this S4 class to a vector

 

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Hi Sir,

The previous problem is solved,thanks for your effort.I have a question the plot that is generated for Mutation spectrum after giving this function -

plotMutationSpectrum(sca_motifs, "study") is Contribution vs Motif plot.What is contribution means here??

Another question regarding Mutation signature plot is that while generating the plot multiple times(generated 5 times) we are getting different results(results are not similar in all 5 plots) using this function -

plotSignatures(sigs_nmf) + ggtitle("Somatic Signatures: NMF - Barchart")

Need your help.Looking for your response.

Thanks

Swati.

 

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@sean-davis-490
Last seen 3 months ago
United States

Your comment was quite helpful.  The write.table() function works only with "table-like" data structures like data.frames and matrices.  However, gbm_tcga is a GRanges object.  To use write.table(), gbm_tcga must first be converted to a data.frame.  Fortunately, this is easy to do:

gbm_df = as.data.frame(gbm_tcga)
write.table(gbm_df, ....)

 
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Julian Gehring ★ 1.3k
@julian-gehring-5818
Last seen 5.5 years ago

The write.table function of R can deal with only a few data types, such as matrices or data frames. In your example, sca_mm is a matrix (see class(sca_mm)), so everything works out of the box. In the second part, gbm_tcga is a very different type of data (see class(gbm_tcga)), represented as a GRanges object. And write.table does not know how to deal with that. Converting it to e.g. a data.frame works then:

df = as(gbm_tcga, "data.frame")
write.table(df, ...)
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Thanks for your response,it is really helpful.One more query is my input file is a .txt format then how to create a GRange object of a .txt file. 

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See the help for makeGRangesFromDataFrame().

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I have successfully exported gbm_tcga dataset in a dataframe format.Now I want to create a GRange object but I am getting an error

Error in .find_start_end_cols(df_colnames0, start.field0, end.field0) :
  cannnot determine start/end columns

executed command is -

makeGRangesFromDataFrame("location of the file",
                         keep.extra.columns=FALSE,
                         ignore.strand=FALSE,
                         seqinfo=NULL,
                         seqnames.field=c("seqnames",
                                            "width",
                                          "strand","Hugo_Symbol",
                                          "Entrez_Gene_Id",
                                          "Variant_Classification",
                                          "Variant_Type",
                                          "Reference_Allele",
                                          "Tumor_Seq_Allele1",
                                          "Tumor_Seq_Allele2",
                                          "Verification_Status",
                                          "Validation_Status",
                                          "Mutation_Status",
                                          "Patient_ID","Sample_ID",
                                          "index"),
                         start.field="start",
                         end.field=c("end"),
                         starts.in.df.are.0based=FALSE)

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The seqnames.field, start.field, and end.field should have the column names of the chromosome, start position, and end positions from the data.frame.  

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Hi,

I have executed this and getting an error

Error in .normarg_field(seqnames.field, "seqnames") :
  object 'chromosome' not found

Executed this command -

> makeGRangesFromDataFrame("file location",
+     keep.extra.columns=FALSE,
+     ignore.strand=FALSE,
+     seqinfo=NULL,
+     seqnames.field=c(chromosome),
+     start.field=c(start),
+     end.field=c(end),
+     starts.in.df.are.0based=FALSE)
 

My file looks like this

seqnames    chromosome    start    end    width    strand    Hugo_Symbol    Entrez_Gene_Id    Variant_Classification    Variant_Type    Reference_Allele    Tumor_Seq_Allele1    Tumor_Seq_Allele2    Verification_Status    Validation_Status    Mutation_Status    Patient_ID    Sample_ID    index
1    1    887446    887446    1    *    NOC2L    26155    Missense_Mutation    SNP    G    G    A    NA    Untested    Somatic    TCGA-06-5858    TCGA-06-5858-01A-01D-1696-08    7211
2    1    909247    909247    1    *    PLEKHN1    84069    Missense_Mutation    SNP    C    C    T    NA    Untested    Somatic    TCGA-32-1977    TCGA-32-1977-01A-01D-1353-08    16958

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The field names should be character strings, and as such need to be in quotes: e.g. seqnames.field="chromosom"

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Executed in 2 ways-

1st one-

> makeGRangesFromDataFrame("file location",
+     keep.extra.columns=FALSE,
+     ignore.strand=FALSE,
+     seqinfo=NULL,
+     seqnames.field=c("chromosome"),
+     start.field=c("start"),
+     end.field=c("end"),
+     starts.in.df.are.0based=FALSE)
Error in .find_start_end_cols(df_colnames0, start.field0, end.field0) :
  cannnot determine start/end columns

2nd one-

> makeGRangesFromDataFrame("file location",
+     keep.extra.columns=FALSE,
+     ignore.strand=FALSE,
+     seqinfo=NULL,
+     seqnames.field=c("chromosome"),
+     start.field=start,
+     end.field=end,
+     starts.in.df.are.0based=FALSE)
Error in .normarg_field(start.field, "start") :
  'start.field' must be a character vector with no NAs

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I doubt that the first argument for makeGRangesFromDataFrame can be the name of a file, but must be a data frame. You can have a look at the help of that function for some practical examples and details.

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Input file i.e, the first argument is in tab separated matrix format.

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The first input argument `df` has to be a data frame itself, not a path to a file. From the manual page of the function:

df: A data.frame or DataFrame object. If not, then the function
          tries to turn ‘df’ into a data frame with
          ‘as.data.frame(df)’

 

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Hi guys,

In GenomicRanges 1.22.4, makeGRangesFromDataFrame() now fails with a more informative error message when given the path to a file.

Cheers,

H.

 

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