Categories
Tag: plotMA
Cut AND Run , DiffBind Parameters
Forum:CHIPSEQ : Cut AND Run , DiffBind Parameters 0 Hello I have been using DiffBind to perform differential enrichment analysis on my ChIP-seq Cut and Run dataset where I have 2 sample groups, Control and YY1_overexpression, with 4 replicates in each sample group. (Peak Calling was done through SEACR) 8…
Comparing 3 Data Sets using DeSeq and Heatmaps
Hi all, I am new to bioinformatics analysis, so I’d appreciate if someone could check my code for the goal I am trying to achieve. I have 3 samples – Wild Type (WT) FoxP3-TCF-HEB (I have 3 replicates of this) TCFKO I have defined these in the sample information csv…
DESeq2 Normalization with 4 Groups
Hello All! I am running DESeq2 on my RNA Seq dataset. I have four groups in my treatment with 8 replicates and about 14,500 rows (genes) after using keep (removing low copy numbers) and removing NA. I also used level so that my Control is the reference. So I have…
Will DESeq2 be appropriate tool for analysis?
Will DESeq2 be appropriate tool for analysis? 0 @959b4cc0 Last seen 12 hours ago Sweden Hello! We are looking at extra cellular RNA which has been collected from cell culture media. We used UMIs to tag and sequence nucleotides which were present in the media, processed them with nf-core RNA-seq…
low counts too many genes
DESEq2 results : low counts too many genes 1 My deseq2 results shows as follows : out of 55357 with nonzero total read count adjusted p-value < 0.1 LFC > 0 (up) : 0, 0% LFC < 0 (down) : 12, 0.022% outliers [1] : 0, 0% low counts [2]…
Solved In the pre-recorded video, your instructor described
Transcribed image text: In the pre-recorded video, your instructor described how DESEq2 log2 fold-change estimates are frequently over-estimated particularly for low expression genes. To obtain better estimates of the log2 fold-change, DESeq2 recommends “shrinking” the raw estimates in your output table above. DESeq2 makes available the lfcShrink function to extract…
CRISPR-clear imaging of melanin-rich B16-derived solid tumors
B16 melanin(+) tdTomato cell line generation The generation and characterization of a lentivirus encoding tdTomato has been described previously22. The B16-D5-HER2 stable cell line was a generous gift from Louis Weiner (Georgetown University)13,23. Cell lines were cultured in DMEM Dulbecco’s modified Eagle’s medium (DMEM; Sigma) supplemented with 10% (v/v) fetal…
Choosing the correct shrinkage type
Hi everyone, First time poster here – tried to look for the answer but I do not seem to find exactly what I am looking for. I have a question re log2FC shrinking as part of my DEse2 pipeline. I cannot understand which type of shrinkage I should be using….
R: MA-Plot
R: MA-Plot plotMA {limma} R Documentation MA-Plot Description Creates an MA-plot with color coding for control spots. Usage plotMA(MA, array=1, xlab=”A”, ylab=”M”, main=colnames(MA)[array], xlim=NULL, ylim=NULL, status, values, pch, col, cex, legend=TRUE, zero.weights=FALSE, …) Arguments MA an RGList, MAList or MArrayLM object, or any list with components M containing log-ratios and…
Change log2FoldChange range – plotMA
You can use base R graphics to make these plots. The data is sitting there in columns of the res object, so you can filter it directly, and use boolean vectors to pick out the things you need: # make sure there are no NA values sum(is.na(res$log2FoldChange)) # choose some…
Diffbind3 dba.plotMA error
Hello, I am analyzing some ATAC-seq from flies using Diffbind3.0.8 and EdgeR. I initially ran dba.analyze() with the default peak size of 401 and was able to graph the results using dba.plotMA and dba.plotVolcano when my contrasts were evaluated using both EdgeR and DESEQ2. After resizing the peaks to 100…
weird MAplot or volcano plot of DESeq2 diff result
Hi, every one. I find a werid MAplot or volcano plot of DESeq reuslt. I am wondering whether you can give me some advice. This diff result is from two cell type bulk RNA-seq. I use two specific marker to get these two cell type using Flow cytometer. I alreadly…