HI ,
I've got a problem I can't solve when i used LinkPeaks. I thought my error was similar with #12 and i try to solve it by adding sep = c(":", "-") but i failed.
I found some DEs and want to link the peaks and i got this error in some genes:
Testing 1 genes and 132282 peaks
Testing 1 genes and 132282 peaks
Testing 1 genes and 132282 peaks
Testing 1 genes and 132282 peaks
Testing 1 genes and 132282 peaks
Testing 1 genes and 132282 peaks
Testing 1 genes and 132282 peaks
No significant links found
Testing 1 genes and 132282 peaks
Testing 1 genes and 132282 peaks
Error in .get_data_frame_col_as_numeric(df, granges_cols[["start"]]) :
some values in the "start" column cannot be turned into numeric values
Calls: CoveragePlot ... makeGRangesFromDataFrame -> .get_data_frame_col_as_numeric
In addition: Warning messages:
1: Removed 2 rows containing missing values (position_stack).
2: Removed 1 rows containing missing values (position_stack).
3: Removed 1 rows containing missing values (position_stack).
4: Removed 2 rows containing missing values (position_stack).
5: Removed 1 rows containing missing values (position_stack).
6: Expected 3 pieces. Missing pieces filled with `NA` in 1 rows [1].
Execution halted
(the error gene is HLA-DPB1)
My code:
(1)callpeak:
##call peaks using MACS2 peaks <- CallPeaks(pbmc, macs2.path = "/share/work4/wangshuang179/software/conda/Miniconda3/Miniconda3/bin/macs2") head(peaks) head(rownames(peaks)) peaks <- GRangesToString(peaks,sep = c(":", "-")) ##add for this error peaks <- StringToGRanges(peaks,sep = c(":", "-")) ##add for this error ##remove peaks on nonstandard chromosomes and in genomic blacklist regions peaks <- keepStandardChromosomes(peaks, pruning.mode = "coarse") peaks <- subsetByOverlaps(x = peaks, ranges = blacklist_hg38_unified, invert = TRUE) #peaks <- subsetByOverlaps(x = peaks, ranges = blacklist, invert = TRUE) ##quantify counts in each peak peaks <- GRangesToString(peaks,sep = c(":", "-")) ##add for this error peaks <- StringToGRanges(peaks,sep = c(":", "-")) ##add for this error head(rownames(peaks)) #macs2_counts <- FeatureMatrix(fragments = Fragments(pbmc),features = peaks,sep = c(":", "-"),cell = colnames(pbmc),verbose = TRUE) macs2_counts <- FeatureMatrix(fragments = Fragments(pbmc),features = peaks,sep = c(":", "-"),cell = colnames(pbmc),verbose = TRUE) ##create a new assay using the MACS2 peak set and add it to the Seurat object pbmc[["peaks"]] <- CreateChromatinAssay(counts = macs2_counts,sep = c(":", "-"),fragments = fragpath,annotation = annotation) **(2)LinkPeaks:** pbmc <- readRDS(argv$rds) ##find diff gene DefaultAssay(pbmc) <- "RNA" markers <- FindAllMarkers(pbmc, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25) write.table(markers,file=paste(argv$outdir,'/',argv$sample,"_diff.xls",sep=""),sep="\t",row.names = FALSE,col.names = TRUE,quote=F) diff <- markers %>% group_by(cluster) %>% top_n(n = 2, wt = avg_log2FC) write.table(diff,file=paste(argv$outdir,'/',argv$sample,"_diff_top2.xls",sep=""),sep="\t",row.names = FALSE,col.names = TRUE,quote=F) print("find diff gene ok") ##link peaks to genes peak_anno_gene <- unique(as.vector(pbmc@assays$peaks@annotation$gene_name)) gene_diff <- unique(diff$gene) GENE <- intersect(peak_anno_gene,gene_diff) print(GENE) cluster <- unique(pbmc@meta.data$seurat_clusters) print(cluster) DefaultAssay(pbmc) <- "peaks" for (i in GENE){ print(i) pbmc_plot <- pbmc DefaultAssay(pbmc_plot) <- "peaks" pbmc_plot <- RegionStats(pbmc_plot, genome = BSgenome.Hsapiens.UCSC.hg38) head(rownames(pbmc_plot@assays$peaks)) head(rownames(pbmc_plot@assays$SCT)) pbmc_plot <- LinkPeaks(object = pbmc_plot,peak.assay = "peaks",expression.assay = "SCT",genes.use = i) pdf(paste(argv$outdir,'/',argv$sample,"_",i,'_LinkPeaks.pdf',sep=''),onefile=F,width=6,height=6) p1 <- CoveragePlot(object = pbmc_plot,region = i,features = i,expression.assay = "SCT",idents = cluster) print(p1) dev.off() }
Some output:
(1)head(peaks):
(2)head(rownames(peaks)):
NULL
I dont known why its NULL and it looks work well with some genes.
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