Search Results for: correlation

Dendrograms are used in phylogenetics to help visualize relatedness of or dissimilarities between species. In RNA sequencing, dendrogram can be combined with heatmap to show clustering of samples by gene expression or clustering of genes Read More...

A heatmap represents numerical data on a color scale and is often combined with a dendrogram to facilitate visualization of clusters and to identify patterns among study variables. For instance, they can be used to Read More...

Let's remember back to the design of the study we are examining ( Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant ). This study included a randomized controlled longitudinal trial involving 25 Read More...

Here are a number of visual elements that are typically produce from RNASEQ data. Normalization plots PCA and Volcano plots Scatter plot and correlation coefficients Heat Maps IGV Traces Resources

Visualization Here are a number of visual elements that are typically produce from RNASEQ data. Normalization plots PCA and Volcano plots Scatter plot and correlation coefficients Heat Maps IGV Traces Resources

gene expression across samples (Figure 1) correlation (Figure 2) disease cases (Figure 3) hot/cold zones topography

gene expression across samples (Figure 1) correlation (Figure 2) disease cases (Figure 3) hot/cold zones topograph

gene expression across samples (Figure 1) correlation (Figure 2) disease cases (Figure 3) hot/cold zones topography

Definition "The goal of GSEA is to determine whether members of a gene set S tend to occur toward the top (or bottom) of the list L, in which case the gene set is Read More...

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...

2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( Read More...

11/20/2024 - ggplot2 is a popular R package for data visualization that uses layers to build high quality plots. There are over 100 packages that extend the functionality of ggplot2. This session of the BTEP Coding Club Read More...

09/13/2024 - This course provides an introduction to data analysis using R, focusing on conducting various statistical tests and generating commonly used statistical regression models. Participants will learn how to perform hypothesis testing, calculate descriptive statistics, Read More...

03/26/2024 - Dear Colleagues,   Developed by expert statisticians and programmers, SUDAAN is a software package designed for researchers who work with study data. SUDAAN procedures properly account for correlated observations, clustering, weighting, stratification, and Read More...

Methods to reduce dimensionality in the data and visualize trends in the data. The following list includes commonly used methods and is not exhaustive. PCoA most common similar to PCA but works on distance metrics Read More...

Again, rarefaction is used to eliminate issues due to differences in library size prior to beta diversity. This method is built-in to QIIME 2 core metrics pipelines. We can examine the stability of a beta diversity Read More...

09/14/2023 - While there is a positive correlation between cancer and aging, the mechanisms underlying this relationship remain unclear. Clonal hematopoiesis, a benign condition that is both associated with aging and predisposes to increased risk of Read More...

10/12/2021 - Speaker :  Tali Mazor, Ph.D., Scientist, Knowledge Systems Group, Dana-Farber Cancer Institute Tali Mazor, Ph.D., of the Dana-Farber Cancer Institute will discuss the functions and features of the cBioPortal for Cancer Genomics. This Read More...

The green "Push" button in the Git pane can also be used to send to code to GitHub. Add the following code then save and commit the changes. # Correlation between displacement and quarter Read More...

If you are interested in ggpubr, you may find the following tutorials useful: http://www.sthda.com/english/articles/24-ggpubr-publication-ready-plots/77-facilitating-exploratory-data-visualization-application-to-tcga-genomic-data/. https://malucalle.github.io/statistical-pills/nice-plots-with-r.html. https://documentation1458.rssing.com/chan-49683810/all_p8. Read More...

Explore the package ggpubR Learn about statistical functions accessible within the ggpubr package. Learn about options for visualization including how to include comparison brackets, p-values, and other statistical results Warning This tutorial is NOT meant Read More...

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Software Image Acquisition Commercial imaging systems of LRBGE Optical Microscopy Core are controlled by acquisition software specifically designed for the appropriate microscope, such as ZEN (Zeiss confocal microscopes), Nikon Elements (Nikon), Imspector (Abberior). Custom-built HILO Read More...

When using SingleR, the 3 primary parameters are the experimental dataset, the reference dataset, and the labels being used. Continuing with the main labels of the MouseRNASeq dataset on the full dataset looks like this: annot = Read More...

04/01/2024 - Embark on a journey of visionary insights! Join us for the launch of the NEI Informatics & Data-Driven Insights: Seminars & Dialogue Opportunities for Vision Health series, hosted by the National Eye Read More...

A rarefaction curve plot[s] the number of counts sampled (rarefaction depth) vs. the expected value of species diversity. --- Weiss et al. 2017 Let's take a look at an alpha rarefaction curve . Demo plot Read More...

Lesson 6 . Learning Objectives Introduce several beta diversity metrics Discover different ordination methods Learn about statistical methods that are applicable Beta diversity Beta diversity is between sample diversity. This is useful for answering the question, how Read More...

Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding Read More...

ggplot2 We would use geom_tile to construct the heatmap A disadvantage to this approach is that we have to generate the dendrogram separately, then merge and align the dendrogram with the heatmap. heatmap built Read More...

ggplot2 We would use geom_tile to construct the heatmap A disadvantage to this approach is that we have to generate the dendrogram separately, then merge and align the dendrogram with the heatmap. heatmap built Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn to construct cluster heatmap using the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify Read More...

05/18/2022 - Powerful and Intuitive Gene Expression Visualization Tools to Interpret Biological Signals – Bulk and Single Cell Data The increasing use of genomic technologies, such as RNA-Seq and single cell RNA-Seq, to assess gene expression patterns Read More...

06/23/2021 - Registration is required to join this event. If you have not registered, please do so now. Register Speaker: Uchenna Emechebe, Ph.D., Field Application Scientist, Partek Incorporated Partek® Flow® bioinformatics software which is available Read More...

04/30/2020 - SSSC Seminar: Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will talk Read More...

04/23/2020 - SSSC Seminar:Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will talk Read More...

04/16/2020 - SS/SC Seminar: Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will Read More...

11/18/2014 - Day 1 - AM (9:30-12:30)  Introductory Lecture ( Peter FitzGerald, PhD - CCR, NCI ) Introduction Historical Perspective and Technical Variations Experimental methodology Comparison to ChIP-Chip Data Analysis Experimental Design Quality Control  Peak Calling (Different methodologies) Major Read More...

The CCR Collaborative Bioinformatics Resource (CCBR) is a resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has expertise in Read More...

ggpubr allows us to easily incorporate additional information into our plots (e.g., mean, individual case information, etc.). Where this package really shines is its ability to easily include the results of common statistical tests. Read More...

ZEISS Elyra 7 with Lattice SIM² Type: Wide-field structured illumination microscope Capabilities: Super resolution 2D and 3D imaging of live or fixed cells Apotome SIM: 170 nm lateral, 450 nm axial Apotome SIM2: 140 nm lateral, 300 nm axial Lattice Read More...

Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...

Clustering is used to group cells by similar transcriptomic profiles. Seurat uses a graph based clustering method. You can read more about it here . The first step is to compute the nearest neighbors of each Read More...

Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...

1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn how to work with the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify to Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn to construct cluster heatmap using the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify Read More...

04/17/2017 - Probing DNA-Protein Interactions This 2-day workshop, which includes both lecture and hands-on components, will teach the basic concepts and practical aspects of ChIP-Seq data analysis. Topics to be covered include: experimental design; read alignment; Read More...

05/16/2016 - This 2-day course, which includes both lecture and hands-on components, will teach the basic concepts and practical aspects of ChIP-Seq Data Analysis. There will also be a talk on ENCODE and a comprehensive discussion Read More...

Required arguments: geneList - the ordered ranked gene list. TERM2GENE - a data frame including the terms and genes (the custom gene sets, which in this case were from MSigDB). Optional arguments: minGSSize - Read More...

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