Tag: stats4

Hi, I’m using CRISPRseek dev v. 1.35.2, installed from github (hukai916/CRISPRseek). I wanted to calculate the CFD, and the grna efficacy of a Cas12 sgRNA (my_sgrna.fa file) using Deep Cpf1. my_sgrna.fa, TTTT (PAM) + sgRNA (20bp): >sgrna1 TTTTTGTCTTTAGACTATAAGTGC Command: offTargetAnalysis(inputFilePath = “my_sgrna.fa”, format = “fasta”, header = FALSE, exportAllgRNAs =…

I have installed DESeq2 version 1.36.0 samples <- colnames(txi$counts) group <- as.factor(c(“control”,”control”,”control”,”control”,”control”,”diet”,”diet”,”diet”,”diet”,”diet”, “control”,”control”,”control”,”control”,”control”,”diet”,”diet”,”diet”,”diet”,”diet”,”diet”)) coldata <- data.frame(samples, group, stringsAsFactors = F) coldata <- coldata[,c(“samples”,”group”)] coldata$samples <- factor(coldata$samples) coldata$group <- factor(coldata$group) rownames(coldata) <- sub(“fb”, “”, rownames(coldata)) all(rownames(coldata$samples) %in% colnames(txi)) all(rownames(coldata) == colnames(txi)) TRUE library(DESeq2) ddsTxi <- DESeqDataSetFromTximport(txi, colData = coldata, design =…

deseq2 problem 0 Hi I am trying to draw a PCA plot with DESeq2 but somehow I cannot use DESeq2 functions. It is a really simple code i wil be pasting below. > transform <- DESeq2::rlog(eliminated_data, blind = TRUE) Error in (function (classes, fdef, mtable) : unable to find an…

GDCprepare of RNAseq counts produces error 1 @76ac7b25 Last seen 12 minutes ago Canada Hello everyone! I have been using the TCGAbiolinks package for the last couple years to access RNAseq data for the TCGA-LAML project. Just very recently, I had noticed that I could no longer use GDCquery to…

GDCquery_Maf error 0 @76e1237b Last seen 1 day ago Singapore Hi all, I really need some help. I am trying to run GDCquery_Maf which worked fine until yesterday. Now I get the following error: Error in GDCquery(paste0(“TCGA-“, tumor), data.category = “Simple Nucleotide Variation”, : Please set a valid workflow.type argument…

subpopulations available in MafH5.gnomAD.v3.1.1.GRCh38 1 @b14a6f0d Last seen 16 hours ago United States Are subpopulation MAFs available for gnomADv.3.1.1 with any package, like they are in MafDb.gnomAD.r2.1.hs37d5? I’m trying to use Genomic Scores to obtain all variants in a genomic range with MAF in any subpopulation >= cutoff. I tried…

When I try to install the gtf for hg38 BiocManager::install(“TxDb.Hsapiens.UCSC.hg38.knownGene”) I get the following error: ‘getOption(“repos”)’ replaces Bioconductor standard repositories, see ‘?repositories’ for details replacement repositories: CRAN: cran.rstudio.com/ Bioconductor version 3.14 (BiocManager 1.30.16), R 4.1.2 (2021-11-01) Installing package(s) ‘TxDb.Hsapiens.UCSC.hg38.knownGene’ Error in readRDS(dest) : error reading from connection Per stackoverflow.com/questions/67455984/getoptionrepos-replaces-bioconductor-standard-repositories-see-reposito I…

Hello, I have finished the RNA seq analysis and I am trying to perform some pathway analysis. I have used the gage package and I was looking online about another package called goseq that takes into account length bias. However, when I run the code I get an error. How…

DESeq2 and high prefiltering cutoff 1 @255004b1 Last seen 3 hours ago United States Hi, I am curious about prefiltering with DESeq2. I understand from this site and reading the DESeq2 vignette that prefiletering is really unnecessary as DESeq2 has a stringent filtering that it does. However, I’m seeing better…

GenomicFeatures::makeTxDbFromUCSC failing with an error: identical(current_classes, .UCSC_TXCOL2CLASS) is not TRUE 1 @mikhail-dozmorov-23744 Last seen 1 day ago United States Hi,The GenomicFeatures::makeTxDbFromUCSC function fails with: library(GenomicFeatures) > hg19.refseq.db <- makeTxDbFromUCSC(genome=”hg19″, table=”refGene”) Download the refGene table … Error in .fetch_UCSC_txtable(genome(session), tablename, transcript_ids = transcript_ids) : identical(current_classes, .UCSC_TXCOL2CLASS) is not TRUE OK The…

    This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see MLInterfaces. Uniform interfaces to R machine learning procedures for data in Bioconductor containers Bioconductor version: 3.3 This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers. Author:…

Hello, I am using DESeq2 for analysis of RNAseq data. I would like to ask you about the design in the DESEq2 formula. I have tissue from animals treated with a chemical and my animal model is a colorectal cancer model. My variables are gender (male or female), treatment (treated…

DOI: 10.18129/B9.bioc.Ringo     This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see Ringo. R Investigation of ChIP-chip Oligoarrays Bioconductor version: 3.9 The package Ringo facilitates the primary analysis of ChIP-chip data. The main functionalities of the package are data read-in, quality assessment, data…

You need to use the Homo.sapiens package to make that mapping. > library(Homo.sapiens) Loading required package: AnnotationDbi Loading required package: stats4 Loading required package: BiocGenerics Loading required package: parallel Attaching package: ‘BiocGenerics’ The following objects are masked from ‘package:parallel’: clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, clusterExport, clusterMap, parApply, parCapply, parLapply, parLapplyLB, parRapply,…

I have an RNAseq dataset, where one of the genes I intend to analyze has hundreds of counts ranging from 10 to 12, with a few counts > 9000. I process this data in Deseq2 and get that the gene is differentially expressed across several samples of interest. What can…

DOI: 10.18129/B9.bioc.PICS     Probabilistic inference of ChIP-seq Bioconductor version: Release (3.5) Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach. Author: Xuekui Zhang <xzhang at stat.ubc.ca>, Raphael Gottardo <rgottard at fhcrc.org> Maintainer: Renan Sauteraud <rsautera at fhcrc.org> Citation (from within R, enter citation(“PICS”)): Installation To install this…

DOI: 10.18129/B9.bioc.DESeq2     This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see DESeq2. Differential gene expression analysis based on the negative binomial distribution Bioconductor version: 3.10 Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on…

DOI: 10.18129/B9.bioc.GGtools     This package is for version 3.12 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see GGtools. software and data for analyses in genetics of gene expression Bioconductor version: 3.12 software and data for analyses in genetics of gene…

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…