Tag: pheatmap

Hunter, D. J. & Bierma-Zeinstra, S. Osteoarthritis. Lancet 393, 1745–1759 (2019). Article  CAS  PubMed  Google Scholar  Puig-Junoy, J. & Ruiz Zamora, A. Socio-economic costs of osteoarthritis: A systematic review of cost-of-illness studies. Semin. Arthritis Rheum. 44, 531–541 (2015). Article  PubMed  Google Scholar  Hunter, D. J., March, L. & Chew, M….

DOI: 10.18129/B9.bioc.CHETAH     This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see CHETAH. Fast and accurate scRNA-seq cell type identification Bioconductor version: 3.13 CHETAH (CHaracterization of cEll Types Aided by Hierarchical classification) is an accurate, selective and fast scRNA-seq classifier. Classification is guided…

Hello, I have some column annotations in a heatmap (generated with pheatmap), which correspond to species that i want to be in italics. I have read through the pheatmap documentation and I can’t find anything. I have also tried to find and adapt solutions online (for example), but most tutorials…

Hi everyone First of all thank you for making rna-seq data much more accessible to an average clinical doctor through the DEseq2 packages and vignettes. I am though running into some trouble: I have a dataset of Nanostring mRNA-data from clinical study, which later was followed up. I therefore have…

Differential expression analysis We downloaded GSE125361 (n = 48) microarray data from the Gene Expression Omnibus (GEO) database, which included 45 myeloma samples and 3 controls, for expression analysis of IL5RA in cancer16. Additionally, we analyzed the expression of IL5RA in smoldering myeloma (SMM) patients who progressed to active MM (n = 10) and…

How do I add row names to pheatmap() when I am using a pre-normalized matrix? 0 I have extracted normalized values from DESeq2 because I want to display only certain genes. I would now like to create a heatmap with my final matrix. This is the code I am using,…

Hi everyone, I would like to ask if anyone could help me with Pheatmap. I am trying to annotate my heatmap, but nothing is working. I already checked if the dimensions and column names fit in the metadata and counts file (you can find all the tests in the code)….

Bahram M, Hildebrand F, Forslund SK, Anderson JL, Soudzilovskaia NA, Bodegom PM, et al. Structure and function of the global topsoil microbiome. Nature. 2018;560:233–7. Article  CAS  PubMed  Google Scholar  Waldrop MP, Holloway JM, Smith DB, Goldhaber MB, Drenovsky RE, Scow KM, et al. The interacting roles of climate, soils, and…

Summary of genes and pathways in SMDB Using keywords (e.g., sulfur, sulfate) to retrieve 284,541 literature reports from 1976 to 2021 in Web of Science and then obtained records of sulfur genes through a web crawler with Python. After manual verification, 875 related literature reports (representative literature was recruited) and…

`MOFAobject@expectations` is empty list 0 Hello I run the tutorial (raw.githack.com/bioFAM/MOFA2_tutorials/master/R_tutorials/CLL.html) library(MOFA2) library(MOFAdata) library(data.table) library(ggplot2) library(tidyverse) utils::data(“CLL_data”) MOFAobject <- create_mofa(CLL_data) MOFAobject data_opts <- get_default_data_options(MOFAobject) model_opts <- get_default_model_options(MOFAobject) model_opts$num_factors <- 15 train_opts <- get_default_training_options(MOFAobject) train_opts$convergence_mode <- “slow” train_opts$seed <- 42 MOFAobject <- prepare_mofa(MOFAobject, data_options = data_opts, model_options = model_opts, training_options =…

Hello! I’m having problems with lfcShrink in my DESeq2 workflow. I’m trying to do a differential expression analysis (with only one comparison term: “MULTIseq_ID_call2”) on my single-cell data. However when I do lfcShrink I get an error that I cannot interpret. Can you help me? dds <- DESeq(dds, test =…

Hello! I’m needing some help from the more experienced ones! n_n’ I’m doing a transcriptome expression comparison using DESeq2 and I would like to be sure I’m using the right parameters. This doubt came after seeing that a gene increased the expression between different sampling points but was not included…

Mosquitoes The Armigeres subalbatus GZ strain (Guangzhou Guangdong Province, China) was established in the laboratory in 2018 and reared in 30-cm3 nylon cages in the insectary at 28 ± 1 °C with 70–80% humidity and a 12:12 h (light: dark) light cycles. Larvae were fed with finely-ground fish food mixed 1:1 with yeast powder,…

DOI: 10.18129/B9.bioc.Cepo     This is the development version of Cepo; for the stable release version, see Cepo. Cepo for the identification of differentially stable genes Bioconductor version: Development (3.17) Defining the identity of a cell is fundamental to understand the heterogeneity of cells to various environmental signals and perturbations….

DOI: 10.18129/B9.bioc.eegc     This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see eegc. Engineering Evaluation by Gene Categorization (eegc) Bioconductor version: 3.12 This package has been developed to evaluate cellular engineering processes for direct differentiation of stem cells or conversion (transdifferentiation) of somatic…

Focal ablation technologies are routinely used in the clinical management of inoperable solid tumors but often result in incomplete ablations leading to high recurrence rates. Adjuvant therapies capable of safely eliminating residual tumor cells are therefore of great clinical interest. Interleukin 12 (IL-12) is a potent antitumor cytokine that can…

data file link: drive.google.com/file/d/1Odr12yDiUwI02-BfaXrHehKBM1uMW_1N/view?usp=share_link Step 1 (5pts) Load the file GSE124548.raw.txt into R and create a new dataframe with just the columns with the raw counts for healthy (HC) and CF patients before treatment (Base) and call it readcount. Use the first column (EntrezID) in the original file as the…

I have been using DESeq2 without problem for many months, until today. When I try to load the package in R I get the following problem: > library(DESeq2) Loading required package: SummarizedExperiment Error: package or namespace load failed for ‘SummarizedExperiment’ in dyn.load(file, DLLpath = DLLpath, …): unable to load shared…

Error in loading DESeq2 0 Hi all I have been using DESeq2 no problem for a while including earlier today Now, whenever I load it I get the below error message. I tried re-downloading DESeq2 and restarting my computer and R, but no dice. Any thoughts? Error: package or namespace…

DOI: 10.18129/B9.bioc.scviR   This is the development version of scviR; to use it, please install the devel version of Bioconductor. experimental inferface from R to scvi-tools Bioconductor version: Development (3.17) This package defines interfaces from R to scvi-tools. A vignette works through the totalVI tutorial for analyzing CITE-seq data. Another…

How to compare RNA expression correlation? 1 I have a set of genes that is important for the cell cycle and DNA damage. I wish to compare the RNA expression of these genes between each two cell lines and generate a heatmap to visualize the correlation (the x and y…

Error when running GDC_prepare 0 @4bb5d1af Last seen 10 hours ago Sweden I’m trying to retrieve and prepare some data from GDC and I’m running the following code which I copy-pasted from this YouTube video: www.youtube.com/watch?v=UWXv9dUpxNE library(TCGAbiolinks) library(tidyverse) library(maftools) library(pheatmap) library(SummarizedExperiment) # get a list of projects gdcprojects <- getGDCprojects()…

‘gpar’ element ‘fill’ must not be length 0 1 Hello everyone, I’m trying to make a heatmap but I get the following error, can you help me? topVarGenes <- head(order(rowVars(assay(rld)), decreasing = TRUE), 20) mat <- assay(rld)[ topVarGenes, ] mat <- mat – rowMeans(mat) anno <- as.data.frame(colData(rld)[, c(“Condition”)]) pheatmap(mat, annotation_col…

Croft, M. T., Lawrence, A. D., Raux-Deery, E., Warren, M. J. & Smith, A. G. Algae acquire vitamin B12 through a symbiotic relationship with bacteria. Nature doi.org/10.1038/nature04056 (2005). Article  PubMed  Google Scholar  Kazamia, E. et al. Mutualistic interactions between vitamin B12-dependent algae and heterotrophic bacteria exhibit regulation. Environ. Microbiol. doi.org/10.1111/j.1462-2920.2012.02733.x…

I want to create 2,3 heatmaps or barcharts side by side for every gene ortholog between two or three different species in R. The problem is that my data are unbalanced, meaning I have gene names which are different between the two species (cat1_gene – mat1_gene) and tissues which are…

Data collection and processing The RNA-sequencing data, clinical information and simple nucleotide variation of LUAD patients were retrieved from TCGA database (portal.gdc.cancer.gov/, accessed April 8, 2022). Nineteen cuproptosis-related genes (CRG) were mainly collected from previous study, including LIPT1, GLS, NFE2L2, NLRP3, LIAS, ATP7B, ATP7A, SLC31A1, FDX1, LIPT2, DLD, DLAT, PDHA1,…

I have a 2 factor design with one factor being 2 levels and the other being 4 levels. I am only interested in the upregulated genes specific to the interaction of level 2 of the first factor and the 4th level of the second factor. I am unsure how to…

Thank you, Seidel. Yes, I want to avoid the row names, and I did that earlier: show_rownames = FALSE, which worked well. I also removed the dendrogram along the y-axis. The aim was to put the label “participants” into the position where the rownames were before. I played around with…

General description of sequences After the quality filtering step, removal of chimeric fragments, and read merging, a total of 3,378,323 reads with 3007 different features was obtained, with an average of 27,244 sequences per individual sample. After quality filtering, none of the samples was excluded from the analysis of microbial…

Smid, E. J. et al. Practical implications of the microbial group construction of undefined mesophilic starter cultures. Microb. Cell Factories 13, S2. doi.org/10.1186/1475-2859-13-S1-S2 (2014). Article  Google Scholar  Stadhouders, J. & Leenders, G. J. M. Spontaneously developed mixed-strain cheese starters. Their behaviour in direction of phages and their use within the…

  This article shows several alternatives on how to plot a table object in R programming. The article will consist of the following information: Here’s how to do it!   Creating Example Data Have a look at the example data below: x <- c(letters[1:4], letters[2:4], “d”) # Create example vector…

Hi, I have a question about DESeq2 LFCshrinkage: Is it possible that some genes have a slightly higher LFC after shrinkage? It happened during my RNAseq DE analysis, I have very deeply sequenced samples with large base means. I tried visualizing using MAplot check, and it looks fine. I’m mainly…

Hi, Im aiming to use aggregated single cell data to perform a pseudobulk analysis to assess differential expression between those with sarcopenia and those without, termed “status_binary” with the levels “yes” and “no”. # DESeq2 —————————————————————— dds <- DESeqDataSetFromMatrix(y$counts, colData = y$samples, design = ~Sex+age_scaled+status_binary) # Transform counts for data…

How to change color of rownames display in pheatmap 2 The row name labels of my heatmap are genes. The default color for the column names and row names are black, however, I would like to change some gene names to different colors (for example, red for up-regulated genes and…

DOI: 10.18129/B9.bioc.ComplexHeatmap     This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see ComplexHeatmap. Make Complex Heatmaps Bioconductor version: 3.14 Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap package provides a highly…

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…

DOI: 10.18129/B9.bioc.mirTarRnaSeq     mirTarRnaSeq Bioconductor version: Release (3.14) mirTarRnaSeq R package can be used for interactive mRNA miRNA sequencing statistical analysis. This package utilizes expression or differential expression mRNA and miRNA sequencing results and performs interactive correlation and various GLMs (Regular GLM, Multivariate GLM, and Interaction GLMs ) analysis…

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…

Introduction Acute pancreatitis (AP) is a common disease found in clinics, and requires urgent Hospital admission. The incidence of AP is increasing in recent years worldwide.1 The patients with AP increased from 1,727,789.3 to 2,814,972.3 between 1990 and 2019 in 204 countries and territories.2 Meanwhile, nearly 20% of AP patients…

DOI: 10.18129/B9.bioc.DaMiRseq     This is the development version of DaMiRseq; for the stable release version, see DaMiRseq. Data Mining for RNA-seq data: normalization, feature selection and classification Bioconductor version: Development (3.15) The DaMiRseq package offers a tidy pipeline of data mining procedures to identify transcriptional biomarkers and exploit them…

1. Sharma VK. Adaptive significance of circadian clocks. Chronobiol Int. 2003;20(6):901–19. PubMed  Google Scholar  2. Paranjpe DA, Sharma VK. Evolution of temporal order in living organisms. J Circadian Rhythms. 2005;3(1):7. PubMed  PubMed Central  Google Scholar  3. Yerushalmi S, Green RM. Evidence for the adaptive significance of circadian rhythms. Ecol Lett….

I’m using deseq2 for DEA but when I create a heatmap with only DEGs, it looks very strange: I’m not sure whether there are only overexpressed genes or whether the dataset is not normalized properly. I probably made a mistake somewhere in my coding but I don’t know where to…

Introduction Kidney cancer is one of the most commonly diagnosed tumors around the globe.1 According to the statistics from the World Health Organization, annually, there are more than 140,000 RCC-related deaths.2 ccRCC is the most typical subtype of kidney cancer and contributes to the majority of kidney cancer-related deaths.3,4 Until…

Introduction Tuberculosis (TB) is considered to be one of the top ten causes of death in the world, about a quarter of the world’s population is infected with M. tuberculosis.1 The World Health Organization (WHO) divides tuberculosis into pulmonary tuberculosis (PTB) and extra-pulmonary tuberculosis (EPTB). Although breakthroughs have been made…

I am making a heatmap using RNA-Seq data in R. The heatmap shows gene expression values (RPKM) in different brain regions. I have the following code: library(tidyverse) library(pheatmap) library(matrixStats) read_csv(“prenatal_heatmap_data.csv”) -> all_data all_data %>% column_to_rownames(“Brain Region”) -> heatmap_data heatmap_data %>% pheatmap() Which generates the following heatmap: I want to do…

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…

Hi, all! First post, so apologies for any flaws with post structure. I am attempting to make a basic heatmap that shows the log fold change of differentially expressed genes, as identified by DESeq2. See below the code I am using for DESeq2: ##Load DESeq2 source(“https://bioconductor.org/biocLite.R”) biocLite(“DESeq2”) biocLite(“stringi”) biocLite(“MASS”) install.packages(“survival”)…

DOI: 10.18129/B9.bioc.GEOexplorer     This is the development version of GEOexplorer; to use it, please install the devel version of Bioconductor. GEOexplorer: an R/Bioconductor package for gene expression analysis and visualisation Bioconductor version: Development (3.14) GEOexplorer is a Shiny app that enables exploratory data analysis and differential gene expression of…

DOI: 10.18129/B9.bioc.conclus     ScRNA-seq Workflow CONCLUS – From CONsensus CLUSters To A Meaningful CONCLUSion Bioconductor version: Release (3.13) CONCLUS is a tool for robust clustering and positive marker features selection of single-cell RNA-seq (sc-RNA-seq) datasets. It takes advantage of a consensus clustering approach that greatly simplify sc-RNA-seq data analysis…

Bit of an R newbie here. I’m trying to generate a figure to see how RNA-seq samples are grouping via hierarchical clustering. Using this code rld<-vst(dds, blind=TRUE) rld_mat<- assay(rld) rld_cor<-cor(rld_mat) head(rld_cor) pheatmap(rld_cor,annotation = meta) heat.colors<-brewer.pal(9, “Blues”) annotdf<-data.frame(row.names = rownames(rld_cor)) pheatmap(rld_cor, annotation=meta, color=heat.colors, annotation_colors = ColorCode, border_color = NA, fontsize =…

Contents Serial circulating tumor DNA (ctDNA) monitoring is emerging as a non-invasive strategy to predict and monitor immune checkpoint blockade (ICB) therapeutic efficacy across cancer types. Yet, limited data exist to show the relationship between ctDNA dynamics and tumor genome and immune microenvironment in patients receiving ICB. Here, we present…

Hi there, Essentially, my experimental design is control vs treatment. Cells were sorted based on fluorescence, so there are 4 different “colors” of treated cells, i.e. red, green, green+red, and blue+green+red. I am interested in how the colors differ from one another. And, I have duplicates for all colors and…

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.Single.mTEC.Transcriptomes     This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see Single.mTEC.Transcriptomes. Single Cell Transcriptome Data and Analysis of Mouse mTEC cells Bioconductor version: 3.8 This data package contains the code used to analyse the single-cell RNA-seq and the bulk ATAC-seq data…

R Programming – how to make a simple heat map 5 Hi can anyone guide me how to make a simple heat map in R? Heatmap R • 264 views There is github.com/XiaoLuo-boy/ggheatmap which is fully ggplot in case you feel more comfortable with it rather than the suggested pheatmap/ComplexHeatmap…

R Programming 4 Hi can anyone guide me how to make a simple heat map in R? in Heatmap R • 201 views There is github.com/XiaoLuo-boy/ggheatmap which is fully ggplot in case you feel more comfortable with it rather than the suggested pheatmap/ComplexHeatmap packages and want to have a consistent…