Tag: pheatmap
Bioinformatics and system biology approach to identify potential common pathogenesis for COVID-19 infection and osteoarthritis
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….
Bioconductor – CHETAH
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…
Italicise annotations with pheatmap
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…
Handling NA’s in Deseq2
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…
IL5RA as an immunogenic cell death-related predictor in progression and therapeutic response of multiple myeloma
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?
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,…
Trouble annotating heatmap with pheatmap. Error in annotation_col[colnames(mat), , drop = F] : subscript out of bounds
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)….
Permafrost microbial communities and functional genes are structured by latitudinal and soil geochemical gradients
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…
Sulfur metabolism in subtropical marine mangrove sediments fundamentally differs from other habitats as revealed by SMDB
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
`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 =…
lfcshrink error DESeq2
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 =…
Can I consider these values as differentially expressed?
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…
A DBHS family member regulates male determination in the filariasis vector Armigeres subalbatus
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,…
Bioconductor – Cepo (development version)
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….
Bioconductor – eegc
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…
Dryad | Data — RNAseq transcriptome of draining lymph node (LN) and tumor of MC38 murine tumors treated with cryoablation and chitosan/IL-12
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: | Chegg.com
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…
Cannot load DESeq2 in R
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
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…
Bioconductor – scviR (development version)
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?
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
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
‘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…
Unravelling microalgal-bacterial interactions in aquatic ecosystems through 16S rRNA gene-based co-occurrence networks
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…
ggplot2 – Comparison between two different species with different gene, tissue names and number of tissues in R
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…
Bioinformatics construction and experimental validation of a cuproptosis-related lncRNA prognostic model in lung adenocarcinoma for immunotherapy response prediction
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,…
Limma contrasts for DEGs
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…
adding row label instead of row names
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…
Amoxicillin and thiamphenicol treatments may influence the co-selection of resistance genes in the chicken gut microbiota
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…
Insights on the bacterial composition of Parmigiano Reggiano Pure Whey Starter by a culture-dependent and 16S rRNA metabarcoding portrait
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…
Draw Table in Plot in R (4 Examples) | Barplot, Histogram & Heatmap – Stats Idea
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…
Log2FC values slightly higher in some genes after DESeq2 shrinkage
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…
DESeq2 aggregated single cell data
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
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…
Bioconductor – ComplexHeatmap
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
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…
Bioconductor – mirTarRnaSeq
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…
Pathway analysis of RNAseq data using goseq package
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…
Validation of hub genes in acute pancreatitis
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…
Bioconductor – DaMiRseq (development version)
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…
Time-course RNASeq of Camponotus floridanus forager and nurse ant brains indicate links between plasticity in the biological clock and behavioral division of labor | BMC Genomics
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….
Heatmap deseq2
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…
Immune-related Prognostic Genes of ccRCC
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…
Bioinformation Analysis Reveals IFIT1 as Potential Biomarkers in Centr
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…
r – RNA-Seq Data Heatmap: Is it necessary to do a log2 transformation of RPKM values before doing the Z-score standardisation?
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…
Design formula in DESeq2
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…
Plot LFC with pheatmap of differentially expressed gene list from DESeq2.
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”)…
Bioconductor – GEOexplorer (development version)
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…
Bioconductor – conclus
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…
Changing colour labels of samples with pheatmap
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 =…
pughlab/inspire-genomics: Pan-cancer analysis of genomic and immune landscape profiles of metastatic solid tumors treated with pembrolizumab
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…
Can I remove the control in differential expression analysis?
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…
Bioconductor – DESeq2
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…
Bioconductor – Single.mTEC.Transcriptomes
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
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
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…