Tag: heatmaps

Cell-type annotation scRNA-seq data were filtered to discard low-quality cells and doublets (Supplementary Fig. 1, Extended Data Fig. 1 and Methods). Supervised clustering (Reference Component Analysis v2 (RCA2)) at low resolution grouped cells into 11 major cell types (Extended Data Fig. 1). To identify epithelial cell subtypes, we initially analyzed…

Mapping molecular changes across malignant transformation We generated single-cell data for 81 samples collected from eight FAP and seven non-FAP donors (Fig. 1a and Supplementary Tables 1 and 2). For each tissue, we performed matched scATAC-seq and snRNA-seq (10x Genomics). We obtained high-quality single-cell chromatin accessibility profiles for 447,829 cells…

From the bovine liver, we isolated 97 live F. hepatica adults. After overnight cultivation, we recovered approx. 228,000 laid eggs, which we divided in three groups. The first group (T0) was immediately frozen at − 80 °C, while the other two groups (T5 and T10) were incubated for 5 and 10 days at…

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…

Infection with L. donovani amastigotes or promastigotes promotes early changes in the mRNA pool of the host cell To compare the early effects of the two life stages L. donovani in the mature mRNA pool of the host cell, total cytosolic mRNA extracts from bone marrow-derived macrophage (BMDM) cultures infected…

1Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People’s Republic of China; 2Department of Pediatrics, The Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China Correspondence: Jun Qian, Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui,…

                                                                  Image source: Author       Introduction Visualization plays an important role in the decision-making process after analyzing relevant data. Graphical representation highlighting the interdependence of key elements affecting performance is important in the above process. There are many libraries in Python and R which provide different options showing…

doi.org/10.1016/j.soilbio.2012.11.018Get rights and content Abstract Oil pollution can be considered as a driver for bacterial secondary succession. A greenhouse study was conducted using forest mineral soil contaminated by heavy fuel oil and planted with hybrid aspen. The aim was to compare the bacterial succession in oil- and plant-amended ecosystems. Samples…

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…

Overview This is a hands-on workshop that covers how to use ggplot2 for common visualizations using the R programming language. It is not an introductory R programming workshop. See prerequisities below. Objectives In this workshop you will see how to use ggplot2 for: describing single variables and plotting simple…

circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data Introduction nf-core/circrna is a best-practice analysis pipeline for the quantification, miRNA target prediction and differential expression analysis of circular RNAs in paired-end RNA sequencing data. The pipeline is built using Nextflow, a workflow tool to run tasks across…

M. Madan Babus Group and the Center for Data-Driven Discovery in the Department of Structural Biology is seeking a highly driven, Full time Machine Learning Research Scientist support the Kalodimos and Babu Groups on the Blue Sky Initiative “Seeing the Invisible in Protein Kinases.” This project is supported by $35…

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….

Additional file 1. Example of chromoMap interactive plot constructed using various features of chromoMap including polyploidy (used as multi-track), feature-associated data visualization (scatter and bar plots), chromosome heatmaps, data filters (color-coded scatter and bars). Differential gene expression in a cohort of patients positive for COVID19 and healthy individuals (NCBI Gene…

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…

Defeng Pan,1,* Yufei Zhou,2,* Shengjue Xiao,1,* Yue Hu,3,* Chunyan Huan,1 Qi Wu,1 Xiaotong Wang,1 Qinyuan Pan,1 Jie Liu,1 Hong Zhu1 1Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People’s Republic of China; 2Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of…

Circos plot of dominant OTU with phylogenetic tree 0 I am trying to create a circos plot of dominant OTUs (from metagenomic data) with a phylogenetic tree inside the circle and the heatmaps around (like the attached image). Kindly suggest how can I achieve this using circos. Thank you. analysis…

Introduction Intestinal ischemia-reperfusion (II/R) injury is a severe clinical complication common in the Intensive Care Unit (ICU). It is associated with high morbidity and mortality.1 Usually, this problem is followed by various causes, including sepsis, shock, trauma, and so on.2 Intestinal ischemia-reperfusion injury destroys intestinal tissue and impairs the function…

Creating Heatmaps Of Diffrentially Expressed Genes In Angilent Single-Color Array Analysis 0 I am using limma to analyze Agilent’s single color arrays to find differentially expressed genes, using the following procedure. targets <- limma::readTargets(“targets.txt”) project <- limma::read.maimages(targets,source=”agilent”, green.only=TRUE) project.bgc <- backgroundCorrect(project, method=”normexp”, offset=50) project.NormData <-normalizeBetweenArrays(project.bgc,method=”quantile”) design <- paste(targets$Target, sep=””) design…

These files contain the source data and code used for the analyses included in the publication Robichaux et al 2021, “Structure-based classification predicts drug response in EGFR mutant NSCLC” These files will be made public at the time of acceptance.The files include but are not limited to: Summary of EGFR…

How do I determine p-value and fold change for TMM normalized data? 0 Hi, I have a TMM normalized data for cancer vs no cancer treatment. This data, however, does not contain p-value or fold change. I want to generate plots such as heatmaps and volcano plots, but I cann’t…

Listing Results Kaggle mini courses Learn Python, Data Viz, Pandas & More Tutorials Kaggle Data Kaggle.com All Courses 8 hours agoPython Learn the most important language for data science. Intro to Machine Learning Learn the core ideas in machine learning, and build your first models. Intermediate Machine Learning Handle missing…

The homepage is full of small visualizations telling stories about each data set. This is the default Tableau location (if you’ve not changed) so far. Transformation processes can also be referred to as data wrangling, or data munging, transforming and mapping data from one raw data form into another format…

Significance During the aging process, senescent cells secrete inflammatory factors, causing various age-related pathologies. Thus, controlling the senescence-associated secretory phenotype (SASP) can tremendously benefit human health. Although SASP seems to be induced by the alteration of chromosomal organization, its underlying mechanism remains unclear. Here, it has been revealed that noncoding…

Advice on organizing large GSVA heatmap 1 Hi there, I wanted to get some advice on how you might make your heatmap easier to read. In my case, I generated a heatmap from GSVA data which I filtered to only include significant pathways, here. I wanted to see how each…

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…