Does Hi-C data normalization technique depends upon the sequencing depth? Can any one suggest me which normalization will be best for high coverage (around 40X) and low coverage (< 5X).
I don't have a direct answer for your question, but you might want to check out HiFive (paper, github) which has three separate normalization strategies you can apply alone or in combination.
Hi everyone, I have sequencing data for 20 rice accessions (paired-end). When I map the reads to the reference genome and calculate the coverage using …
Hello! I'm performing a single-cell genome-wide copy-number profiling by low-pass sequencing (coverage: 1X, 0.5X, 0.1X). Would anybody suggest me how to determine which is the …
Hi, guys. I have a question analysing RNA-seq data(I'm using DESeq2) I'm willing to use **8 samples with high sequencing depth**, and **6 samples with …
I am learning how to conduct a methylome analysis, and ended reading this from a document entitled "Standards and Guidelines for Whole Genome Shotgun Bisulfite …
<p>Hi all.</p> <p>Is that the good choice to do normalization in RNA-seq to discover high quality SNP? Personally I wouldn't agree with this approach but …