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tofukaj
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@tofukaj-9928
Last seen 4.5 years ago
Dear Great Helpers,
I've tried 'ChIPQC' package with chip-seq data of the cow. I've created the annotation TxDb from 'gtf' file acquired from ensembl. The codes and results are as following:
R library(GenomicRanges) library(GenomicFeatures) library(ChIPQC) # Create TxDb annotation btaurus_txdb <- makeTxDbFromGFF('Bos_taurus.UMD3.1.89.gtf.gz') # Determine locations of bam and bed files btaurus_txdb <- loadDb(file="btaurus_txdb.sqlite") bamFile <- file.path(maindir, "macs2/bowtie2/SRR1977480.sorted.bam") bedFile <- file.path(maindir, "macs2/bowtie2/SRRSRR1977480K4peak_summits.bed") # ChIPQC analysis exampleExp <- ChIPQCsample(bamFile, peaks=bedFile, annotation=list(btaurus_txdb), chromosomes=NULL)
By the script provided above, I've got the results and errors as following:
Removing 2 chromosomes with length less than cross-coverage shift Bam file has 3315 contigs Calculating coverage histogram for 1 Calculating SSD for 1 Calculating unique positions per strand for 1 Calculating shift for 1 300 / 300 Counting reads in features for 1 Signal over peaks for 1 done Calculating coverage Calculating Summits on 1 ..Calculating coverage histogram for 10 Calculating SSD for 10 Calculating unique positions per strand for 10 Calculating shift for 10 300 / 300 Counting reads in features for 10 Signal over peaks for 10 done Calculating coverage Calculating Summits on 10 ..Calculating coverage histogram for 11 Calculating SSD for 11 Calculating unique positions per strand for 11 Calculating shift for 11 300 / 300 Counting reads in features for 11 Signal over peaks for 11 done Calculating coverage Calculating Summits on 11 ..Error: subscript contains out-of-bounds ranges In addition: Warning messages: 1: In BioC 3.5, the 'force' argument was replaced by the more flexible 'pruning.mode' argument, and is deprecated. See ?seqinfo for the supported pruning modes. Note that 'force=TRUE' is equivalent to 'pruning.mode="coarse"'. 2: In BioC 3.5, the 'force' argument was replaced by the more flexible 'pruning.mode' argument, and is deprecated. See ?seqinfo for the supported pruning modes. Note that 'force=TRUE' is equivalent to 'pruning.mode="coarse"'. 3: In BioC 3.5, the 'force' argument was replaced by the more flexible 'pruning.mode' argument, and is deprecated. See ?seqinfo for the supported pruning modes. Note that 'force=TRUE' is equivalent to 'pruning.mode="coarse"'. 4: In BioC 3.5, the 'force' argument was replaced by the more flexible 'pruning.mode' argument, and is deprecated. See ?seqinfo for the supported pruning modes. Note that 'force=TRUE' is equivalent to 'pruning.mode="coarse"'.
Would you please help me figure out what is happening and how to fix it properly? I must confess that I'm just the starter in this field with very poor experience. If my question is not properly managed, I would like to apologize you all in advance.
Best Regards,
Kaj
sessionInfo()
R version 3.4.0 (2017-04-21)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.2 LTS
Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.6.0
LAPACK: /usr/lib/lapack/liblapack.so.3.6.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=th_TH.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=th_TH.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=th_TH.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=th_TH.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats4 stats graphics grDevices utils datasets
[8] methods base
other attached packages:
[1] rtracklayer_1.36.2 ChIPQC_1.12.0
[3] DiffBind_2.4.2 SummarizedExperiment_1.6.1
[5] DelayedArray_0.2.4 matrixStats_0.52.2
[7] ggplot2_2.2.1 GenomicFeatures_1.28.0
[9] AnnotationDbi_1.38.0 Biobase_2.36.2
[11] GenomicRanges_1.28.2 GenomeInfoDb_1.12.0
[13] IRanges_2.10.1 S4Vectors_0.14.1
[15] BiocGenerics_0.22.0
Dear Thomus,
Thank you very much for your quick response. Since I'm an extreme newbie here, I really have no idea when you talk about peak.bed. All I have from MACS2 result is *.narrowpeak file. Here I provide you the link to all files I acquired from MACS.
https://drive.google.com/file/d/0B4_V0v1OpPRKNThwZDVJSGZ5NW8/view?usp=sharing
https://drive.google.com/file/d/0B4_V0v1OpPRKVlBKTkIxMDR1VlE/view?usp=sharing
https://drive.google.com/file/d/0B4_V0v1OpPRKUWlXTXlUTkhibHM/view?usp=sharing
https://drive.google.com/file/d/0B4_V0v1OpPRKMFBKTm5jUVVkcXc/view?usp=sharing
I have read 'Specifying custom annotation' topic from http://bioconductor.org/help/course-materials/2014/BioC2014/Bioc2014_ChIPQC_Practical.pdf, but still have no idea how could I create such custom annotation from the TxDb created by GenomicFeatures. I do apologize for my poor experience, but can you provide me example to create custom annotation from TxDb.
Really grateful for your support in advance,
Kaj
hi Kaj,
Here is an example to make custom annotation for ChIPQC.
source("https://raw.githubusercontent.com/ThomasCarroll/blank/master/chipqcAnnotation.R")
library(GenomicRanges)
library(GenomicFeatures)
library(ChIPQC)
# Create TxDb annotation
btaurus_anno <- ChIPQCAnnotationFromGFF3('Bos_taurus.UMD3.1.89.gtf.gz')
bamFile <- file.path(maindir, "macs2/bowtie2/SRR1977480.sorted.bam")
bedFile <- file.path(maindir, "macs2/bowtie2/SRRSRR1977480K4peak_summits.bed")
#ChIPQC analysis
exampleExp <- ChIPQCsample(bamFile, peaks=bedFile, annotation=btaurus_anno, chromosomes=NULL)
best,
tom
Thank you very very very much!!!!!
hi Kaj,
Sorry for the delay. I will look at this tomorrow am and provide an example.
best,
tom