Search Results for: Ch 14.18 (Neuroblastoma)

06/18/2024 - The Cancer Genome Atlas (TCGA) was a landmark cancer genomics program that molecularly characterized over 20,000 primary cancer and matched normal samples spanning 33 cancer types. This resulted in a massive open-source dataset that continues to Read More...

Some tools have been described in the previous session (see here ). Today, we will be focusing on the SingleR tool, which also requires the celldex package . In short, SingleR operates by comparing your current dataset Read More...

R is a particularly great resource for statistical analyses, plotting, and report generating. wide use = functions and packages covering a broad range of topics. CRAN has 20,000 + packages Bioconductor (v 3.18) includes 2,266 software packages, 429 experiment data packages, 920 Read More...

New versions of Bioconductor are released every 6 months and work with a specific version of R. Because of this release schedule and associated automated testing, "each Bioconductor release provides a suite of packages that Read More...

R is a particularly great resource for statistical analyses, plotting, and report generating. The fact that it is widely used means that users do not need to reinvent the wheel. There is a package available Read More...

Bioconductor is both an open source project and repository for R packages related to the analysis of biological data, primarily bioinformatics and computational biology, and as such it is a great place to search for Read More...

12/18/2023 - In this lesson, we will learn about specialized data containers / classes that are shared across Bioconductor packages. These classes allow us to store and easily manage multiple -omics types. We will discuss some of Read More...

Load in a tab delimited file (file_path= "./data/WebexSession_report.txt") using read_delim() . You will need to troubleshoot the error message and modify the function arguments as needed. {{Sdet}} Solution } library ( Read More...

As you continue to work in R, at some point you will need to incorporate regular expressions into your code. We used a regular expression escape above \\. to denote that we wanted to match a Read More...

11/14/2023 - This talk will cover how to maximize the utility of your data by handling missing values and performing mathematical transformations. We will cover best practices, common pitfalls, and touch on data standardization methods. This Read More...

10/18/2023 - Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour class will introduce the Read More...

10/18/2023 - This October session of the BTEP Coding club will feature a tutorial on how to access data from GEO as well as how to submit data to GEO.     

The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...

October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIH Center For Human Immunology, Inflammation, And Autoimmunity (CHI) CHI is a Read More...

CREx is an easy-to-use platform that catalogues research resources available across the NIH. It also includes an expansive database of services offered by the biotechnology industry. All resources are organized by research areas and keywords Read More...

The NHLBI Murine Phenotyping Core carries out physiologic and behavioral testing in a diversity of mouse models for NHLBI and other NIH institutes. Established Technologies: Cardiovascular Phenotyping, Metabolic Phenotyping, Pulmonary Phenotyping, Behavioral Phenotyping, Exercise Physiology, Read More...

CREx News & Updates May 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

CREx News & Updates December 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight FACILITY HIGLIGHTS Learn more about services from the STRIDES Initiative. VIEW STRIDES INITIATIVE NIH Cores Read More...

The NCI Clinical Research Correlatives Core provides non-CLIA-certified spectral flow cytometric assays to support clinical trials conducted in the CCR. The core specializes in immunophenotyping and immune monitoring assays. Established Technologies Spectral flow cytometry (Cytek), Read More...

08/14/2025 - Biowulf isthe NIH Unix-based high-performance computer (HPC). Unix is a command driven computer operating system. Biowulf has more computational power than the average laptop, which makes it ideal for analyzing Next Generation Sequencing (NGS) Read More...

06/18/2025 - This 45-minute online Lunch and Learn training will help attendees develop their own customized strategy for responsibly incorporating generative artificial intelligence (AI) tools, such as ChatGPT, into their workflows.  By the end Read More...

06/18/2025 - This one-hour online training will provide a high-level overview of Python coding concepts, as well as some of the integrative development environments (IDEs,  such as Jupyter notebooks ) used for Python coding. Python is a Read More...

04/14/2025 - Gene set analysis (GSA) is essential in genomic research, yet traditional methods often lack transparency and produce contextually irrelevant results, making interpretation challenging. While large language models (LLMs) offer a promising solution for result Read More...

03/18/2025 - This class is not hands-on and will demonstrate to participants the use of IGV for visualizing alignment results from Next Generation Sequencing using RNA as an example. After this class, participants will be able Read More...

03/18/2025 - This one-hour training, provided by a presenter from SAS, will answer question about the most efficient capabilities and processes when using SAS 9.4. This training will offer a question-and-answer session, where participants can ask the Read More...

02/18/2025 - This class will introduce basic experimental and analytical considerations for bulk RNA sequencing, a technique that is used to profile gene expression at the tissue level. Information taught serves as the foundation for participants Read More...

01/14/2025 - Join us for a webinar on EMERSE, a text processing system designed specifically for non-technical users, featuring David Hanauer, M.D., M.S. from the University of Michigan Medical School. EMERSE (Electronic Medical Record Read More...

01/14/2025 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...

01/14/2025 - In this talk, we will cover the basics of survival analysis as a statistical methodology developed for censored data. Special emphasis will be on visualizing survival data, comparing survival-time distributions for subject groups, and Read More...

01/14/2025 - Join leaders from  NCI’s Human Tumor Atlas Network  (HTAN) to hear about the program’s collaborative efforts to develop comprehensive atlases incorporating cellular, molecular, and histological dimensions across various cancer types and stages.  Read More...

11/14/2024 - The accessibility of artificial intelligence/machine learning (AI/ML) tools has taken off in recent years. This democratization of advanced analytics has the potential to revolutionize predictive toxicology, especially for applications that generate massive, Read More...

10/23/2024 - Please send any questions and/or specific topic areas that you’re interested in hearing about for this presentation by Friday, 10/18 to Kayla Strauss . QIAGEN Ingenuity Pathway Analysis (IPA) is the leading Read More...

09/30/2024 - In this webinar, you'll gain insights into the Electronic Medical Record Search Engine (EMERSE). EMERSE is a simple, powerful tool to help researchers like you identify key data within free text clinical notes Read More...

09/18/2024 - This one-hour online training will cover several integration points between SAS and open-source tools to empower the developer and the organization to integrate the benefits of both SAS and open source. & Read More...

09/13/2024 - Reverse-phase protein arrays (RPPAs) represent a powerful functional proteomic approach to elucidate cancer-related molecular mechanisms and develop novel cancer therapies.   To facilitate community-based investigation of the large-scale protein expression data generated by Read More...

08/14/2024 - In this introduction session, Dr. Yana Stackpole will discuss biologist-friendly ways to import and analyze RNAseq data in Qlucore, followed by integrated GSEA for biological interpretation.   She will pick a public cancer-related Read More...

07/18/2024 - Long read sequencing holds an advantage over short read sequencing in areas such as structural variant and transcript isoform discovery.  This class will demonstrate long read analysis using Qiagen’s CLC Genomics Workbench, a Read More...

06/18/2024 - The rising popularity of spatial transcriptomics (ST) has prompted the development of numerous analysis methods, each varying in robustness and user accessibility. These diverse approaches could help provide a better understanding of the tumor Read More...

06/14/2024 - Data Sharing and Reuse Seminar Series Please join us for the June Data Sharing and Reuse Seminar where Micahel Schatz, Ph.D. will be presenting "BioDIGS: BioDiversity and Informatics for Genomics Scholars. This Read More...

R is both a computational language and environment for statistical computing and graphics. It is open-source and widely used by scientists, not just bioinformaticians. Base packages of R are built into your initial installation, but Read More...

05/14/2024 - Participants will learn how to develop artificial intelligence (AI) applications using MATLAB, even if they do not have a formal background in machine and deep learning. The goal of this course is to introduce Read More...

05/14/2024 - This presentation will explain the difference between the mean and standard deviation of a set of values and the standard error of the mean. The parameters involved in comparing two normally distributed populations relative Read More...

03/18/2024 - Electronic lab notebooks (ELNs) are digital tools that allow researchers to record, manage, and share their data and results in a secure and efficient way. The virtual roundtable discussion will cover various aspects of Read More...

The object that we imported, scaled_counts , is a data frame. Let's learn a bit more about our data frame. First, we can learn more about the structure of our data using str() . We Read More...

To install a Bioconductor package, you will first need to install BiocManager , a CRAN package. You can then use BiocManager to install the Bioconductor core packages and specific packages. To install the Bioconductor core packages, Read More...

Try googling your problem or using some other search engine. rseek is an R specific search engine that searches several R related sites. If using google directly, make sure you use R to tag your Read More...

ggplot2 is an R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...

02/14/2024 - For inquires send email to staff@hpc.nih.gov Meeting ID: 160 198 9146 Passcode: 083637 Next edition of the NIH HPC monthly Zoom-In Consults! All Biowulf users, and all those interested in using the systems, are invited Read More...

02/14/2024 - Explore the intricate world of pathway analysis with Reactome. Reactome is an open-source, manually-curated and peer-reviewed biological pathway knowledgebase, free and open to the public. We will provide you an overview of the contents Read More...

02/14/2024 - Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of Read More...

Love Data Week 2024 is quickly approaching! What is Love Data Week?  Love Data Week is an international week of celebrating all things data related, with an emphasis on data management, sharing, and security. Read More...

12/18/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...

Bioconductor is a repository for R packages related to biological data analysis, primarily bioinformatics and computational biology, and as such it is a great place to search for -omics packages and pipelines. Bioconductor packages fit Read More...

In comma separated files the columns are separated by commas and the rows are separated by new lines. To read comma separated files, we can use the specific functions ?read.csv() and ?read_csv() . Let' Read More...

There are two additional functions from Tidyr that are very useful for organizing data: unite() and separate() . These are used to split or combine columns. For example, you may have noticed that our feature column Read More...

There are many other ways to select multiple columns. You may commonly be interested in selecting all numeric columns or all factors. The syntax below can be used for this purpose. select(dexp, where(is. Read More...

Use pivot_longer to reshape countB. Your reshaped data should look the same as the data below. {{Sdet}} Solution } library ( tidyverse ) countB % rownames_to_column ( "Feature" ) countB_l ## 1 Tspan6 1 703 71 ## 2 Tspan6 2 567 970 ## 3 Tspan6 3 867 242 ## 4 TNMD 1 490 342 ## 5 TNMD 2 482 935 ## 6 Read More...

Help Session Lesson 3 Loading data Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and Read More...

Begin by loading the data and saving to an object named dmat . {{Sdet}} Solution } library(tidyverse) dmat ## 1 ENSG00000001630.… 6877. 6614 7058. 11305. ## 2 ENSG00000002016.… 283. 287. 287. 265. ## 3 ENSG00000002330.… 1946 1662 2121 608 ## 4 ENSG00000002834.… 17636 19333 18917 4583 ## 5 ENSG00000003056.… 3874 4107 4005 5741 ## 6 ENSG00000003393.… 2041 2150 2141 1687 ## 7 ENSG00000003989.… 279 345 305 18586 ## 8 ENSG00000004534.… 2695. 3031 2871 1948 ## 9 ENSG00000004838.… 42 52 39 61 ## 10 ENSG00000004848.… 1 0 0 18 ## # ℹ 9,990 more rows ## # ℹ 2 more variables: `5_Cell2_Rep2` , `6_Cell2_Rep3`

Many of the packages that handle RNASeq count data do not work correctly with decimal numbers. We need to convert these numbers to integers using mutate() . Save your transformed data frame to an object named Read More...

We can select all columns, leaving out ones that do not interest us using a - sign. This is helpful if the columns to keep far outweigh those to exclude. We can similarly use the ! Read More...

For readability, let's move the transcript column to the front. #you can reorder columns and call a range of columns using select(). ex3 ## 1 TSPAN6 hg38 TRUE -0.390 5.06 32.8 0.000312 0.00283 untrt ## 2 DPM1 hg38 TRUE 0.198 4.61 6.90 0.0281 0.0770 untrt ## 3 SCYL3 hg38 Read More...

Which of the following will throw an error and why? 4 _ chr :1:2: unexpected input ## 1: 4_ ## ^ . 4 chr :1:3: unexpected symbol ## 1: .4chr ## ^ {{Edet}} Create the following objects; give each object an appropriate name (your best guess at what name to Read More...

This is our first coding help session. We have designed some practice problems to get you acquainted with using R before beginning to wrangle in our next lesson. Practice problems Which of the following will 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...

S4 objects store complex information that isn't necessarily simple to save. If you intend to work with the object further, try using saveRDS . saveRDS(se, "airways.rds") #save the object Note saveRDS() Read More...

Separate the gene abbreviation from the Ensembl ID in column 1 using separate() . Save the output to a new object named dmat2 . {{Sdet}} Solution }. #separate gene abbreviation from ensembl id dmat2% select(1:2) dmat2% select(!gene_abb) {{ Read More...

All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only includes the columns Read More...

Help Session Lesson 5 All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only Read More...

12/14/2023 - NIDAP , the NIH Integrated Data Analysis Platform, is a cloud-based, collaborative data aggregation and analysis platform that hosts user-friendly bioinformatics workflows and other component analysis and visualization tools. The NCI CCR Collaborative Bioinformatics Resource ( Read More...

11/14/2023 - Dr. Ting Wang is a Sanford C. and Karen P. Loewentheil Distinguished Professor of Medicine at the McDonnell Genome Institute, Washington University School of Medicine in St. Louis. Dr. Wang’s lab Read More...

09/18/2023 - The NIH is home to a number of groups aimed at supporting bioinformatics, genomics, computational biology and various related topics. Many of these groups meet regularly to host talks or provide training opportunities, while Read More...

09/14/2023 - Python Programming for Scientists" is an engaging and practical training series designed to equip scientists with essential Python programming skills to enhance their research capabilities. This comprehensive series is explicitly tailored for researchers 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...

No summary available.

Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging Read More...

/*color variables main= #1E1E1E secondery= #333333 highlight= #073254 */ * { box-sizing: border-box; } body, html { font-family: "Open Sans", sans-serif; } .clearfix:before, .clearfix:after { content: " "; display: table; } .clearfix:after { clear: both; } h1, h2, h3, h4, h5, h6 { font-weight: 300; } body Read More...

The Center for Advanced Preclinical Research (CAPR) specializes in evaluating the efficacy of preclinical compounds, existing drugs, or biologics (therapeutics) in genetically engineered mouse models, GEM-derived allograft (GDA) models, or patient-derived mouse xenografts (PDX). We Read More...

CLIA-Certified Technologies Offered: Fragment Analysis for Micro-satellite Instability Detection, Pharmacoscan Array for Pharmacogenomics, Mutation Detection for PCR and Sanger Sequencing, DNA extraction from whole blood, saliva, FFPE tissues, buccal swabs, nails, hair, PBMCs, buffy coats, Read More...

Back Services: Biophysics Facility offers MDS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes the KD determination of a standard molecular Read More...

The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery Read More...

Back Services: Biophysics Facility offers DLS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes DLS analysis of small- and large-molecular size Read More...

The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...

Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols.  This service is intended for the occasional users of this system.  Researchers who expect to use this instrument Read More...

Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols.  This service is intended for the occasional users of this system.  Researchers who expect to use this instrument Read More...

The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and 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...

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...

This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...

Now let's filter the rows based on a condition. Let's look at only the treated samples in scaled_counts using the function filter() . filter() requires the df as the first argument followed by Read More...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To learn about options for report generation with R: RMarkdown and Quarto. Introducing Bioconductor Bioconductor is both an open source project Read More...

Learning Objectives Learn about data structures including factors, lists, data frames, and matrices. Load, explore, and access data in a tabular format (data frames) Learn to write out (export) data from the R environment Data Read More...

Welcome! Welcome to the R Introductory Series! Who: Novices and beginners\ What: A course series introducing R and RStudio. This course will introduce the foundational skills necessary to begin to analyze and visualize data in Read More...

Learning Objectives To understand: 1. the difference between R and RStudioIDE. 2. how to work within the RStudio environment including: creating an Rproject and Rscript navigating between directories using functions obtaining help how R can enhance data Read More...

Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...

This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. Read More...

R Crash Course: A few things to know before diving into wrangling Learning the Basics Objectives 1. Learn about R objects 3. Learn how to recognize and use R functions 4. Learn about data types and accessors Console Read More...

Load in the comma separated file "./data/countB.csv" and save to an object named gcounts . {{Sdet}} Solution } gcounts `...1` colnames ( gcounts )[ 1 ] ## 1 Tspan6 703 567 867 71 970 242 ## 2 TNMD 490 482 18 342 935 469 ## 3 DPM1 921 797 622 661 8 500 ## 4 SCYL3 335 216 222 774 979 793 ## 5 FGR 574 574 515 584 941 344 ## 6 CFH 577 792 672 104 192 936 ## 7 FUCA2 798 766 995 27 756 546 ## 8 GCLC 822 874 923 705 667 522 ## 9 NFYA 622 793 918 868 334 64 {{Edet}} Plot the Read More...

Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and do not contain spaces. Save Read More...

Why did we focus so heavily on the tidyverse if it can't be used to manipulate Bioconductor objects? Well, for one, regardless of whether you are a user of Bioconductor packages, you will often Read More...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To better understand S4 objects as they relate to the Bioconductor core infrastructure. To learn more about a popular Bioconductor S4 Read More...

Data import and reshape Objectives 1. Learn to import multiple data types 2. Data reshape with tidyr : pivot_longer() , pivot_wider() , separate() , and unite() Installing and loading packages So far we have only worked with objects that Read More...

Let's load in some data to work with. In this lesson, we will continue to use sample metadata, raw count data, and differential expression results from the airway RNA-Seq project. Load the data: #sample Read More...

Objectives Review important data wrangling functions Put our wrangling skills to use on a realistic RNA-Seq data set Data Wrangling Review Important functions by topic Importing / Exporting Data Importing and exporting data into the R Read More...

For this lesson, we will use sample metadata and differential expression results from the airway RNA-Seq project. Let's begin by importing the data. #sample information smeta ## 1 GSM1275862 N61311 untrt untrt SRR10395… 126 SRX384345 SRS50… SAMN0242… ## 2 Read More...

Introduction to dplyr and the %>% Objectives Today we will begin to wrangle data using the tidyverse package, dplyr . To this end, you will learn: how to filter data frames using dplyr how to employ Read More...

As you can see from the image, there are several accessor functions to access the data from the object: assays() - access matrix-like experimental data (e.g., count data). Rows are genomic features (e.g., Read More...

Help Session Lesson 4 Plotting with ggplot2 For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and 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...

dplyr : joining, tranforming, and summarizing data frames Objectives Today we will continue to wrangle data using the tidyverse package, dplyr . We will learn: how to join data frames using dplyr how to transform and create Read More...