Tag: stats4

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…