Search Results for: multiple reaction monitoring

In support of Intramural Research Program (IRP) scientists, DOHS provides training, consulting, and resources to ensure that workers' risk to hazards and stresses in the laboratory environment is minimized. Our services include one-on-one consultation with Read More...

Back Services: Biophysics Facility offers ITC calorimeters as open-access instruments.  First-time users must complete a short training session before gaining access to the instrument reservation calendar.  Training includes performing a test experiment and Read More...

In support of Intramural Research Program (IRP) scientists, DOHS provides training, consulting, and resources to ensure that laboratory equipment is used and maintained properly and safely. We provide expert safety and health consulting support for Read More...

The NIH Clinical Center Pharmacy Department provides pharmaceutical care to inpatients and outpatients on NIH intramural research protocols at the NIH Clinical Center. The Clinical Center facility encompasses 200 inpatient beds, 93 day-hospital stations, and 15 clinics. Clinical Read More...

The Blood Processing Core monitors viral load in patients with HIV and performs sequential studies using samples obtained from patients with cancer, AIDS, chronic granulomatous disease, or other diseases associated with immunologic dysfunction. The core Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx NCI CLIA Molecular Diagnostics Laboratory (CMDL) The NCI CMDL is available to assist all Read More...

The CCR-Frederick Flow Cytometry Core Facility provides research support to the Frederick-CCR community, including cytometry analysis and sorting services, instrument maintenance, new user training, and technical consultation. Typical Assays Performed by Core Instruments Immunophenotyping of 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...

The Mouse Metabolic Phenotyping Center (MMPC)Live Program provides standardized, high quality, unique, and hard to find phenotyping services for mouse models of diabetes, obesity, and related metabolic disorders. Emerging as the next iteration of Read More...

The Department of Laboratory Medicine provides state-of-the-art laboratory testing in support of Clinical Center patient care and will serve as a center of excellence in research and training in laboratory medicine, particularly in areas which Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. We would greatly appreciate Read More...

The CCR Building 41 Flow Cytometry Core is a full-service facility within the Center for Cancer Research that supports over 150 users representing 26 laboratories. The Core Facility provides instrument and software training, technical expertise, assay development, and Read More...

NISC’s role within NHGRI, and more broadly across NIH, aims to advance genome sequencing and its many applications, with a goal not simply to produce sequence data, but to produce the infrastructure required to Read More...

Clinical Support Laboratory – Cellular Immunology offers a spectrum of bioassays to assess cellular responses to antigens and mitogens including ELISPOT, cytotoxicity assays, and proliferation assays. Established Technologies Elispot Assays, Dual or Triple Color Fluorospot Assays, Read More...

CREx News & Updates January 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCI ANTIBODY CHARACTERIZATION LABORATORY (ACL) The ACL specializes in rigorously validating antibodies for signaling and Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx Program Manager The CREx Team is happy to announce Deepika Velampati as the new CREx Program Read More...

The Division of Veterinary Resources Animal Surgery has supported large animal research and clinical care for more than 40 years. DVR surgeons provide outstanding and highly specialized large animal (rabbits, ungulates, etc.) research support in a 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...

[embed]https://youtu.be/yTl1Q0D7aZ0[/embed] 10x Genomics' supports multiple cancer research areas from single nucleotide and structural variant detection to single cell whole transcriptome gene expression analysis of thousands of individual Read More...

The Clinical Image Processing Service (CIPS) offers timely and accurate advanced image processing of diagnostic radiology images for clinical care, research, and training. CIPS’ functions include clinical services and scientific researches. Established Technologies CIPS can Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. If you haven’t 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...

The Biophysics Core’s mission is to provide support in the study of macromolecular interactions, dynamics, and stability by offering consultations, training, professional collaborations, and instrument access. General Services Multi-technique molecular interaction studies, Kinetic and Read More...

The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas Read More...

Total end-to-end system for single-cell research [embed]https://youtu.be/vMzhSzg1rUw[/embed] The BD Rhapsody Single-Cell Analysis system empowers and streamlines your research with a complete system of tools, including reagents and analysis software, Read More...

The NHLBI Transgenic Core’s main mission is to keep up with the latest advancements in genome engineering technologies and to provide state-of-the-art services to assist NIH scientists in generating genetically engineered animal models. In Read More...

The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with 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...

[embed]https://youtu.be/pfZp5Vgsbw0[/embed] Menarini Silicon Biosystems has combined the ability to manipulate individual cells using DEP technology with high-quality image-based cell selection to create the DEPArray™ System. This Read More...

The NMR Facility for Biological Research operates six NMR spectrometers with proton resonance frequencies from 850 to 500 MHz. Three of the highest field spectrometers (850, 700, 600) are equipped with higher sensitivity cryoprobes optimized for high-resolution multi-dimensional and relaxation Read More...

The Frederick Sequencing and Genomics Core (FSGC) was established through the integration and consolidation of the former Sequencing Facility (SF) and the Genomics Technology Laboratory (GTL). The new FSGC eliminates redundancy and provides cutting edge Read More...

The NCI Cloud Resources are components of the NCI Cancer Research Data Commons (CRDC) that bring data and computational power together to enable cancer research and discovery. These cloud-based platforms eliminate the need for researchers Read More...

The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation. The BDP was established in 1993. We Read More...

Back Services: This instrument is not user accessible.  We provide both data collection and data analysis services. Location: Building 50, room 3331 Description: An analytical ultracentrifuge is equipped with absorption and interference optical systems that monitor 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...

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

The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...

Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the difference Read More...

Back Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the Read More...

[tabby title="Home"] About NICE-NIH Intramural CryoEM Consortium  NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of Read More...

05/02/2024 - To register to attend, you must log in to your SITC Cancer Immunotherapy CONNECT account. Don’t have an account?  Create a free one . Join Dr. Mullin of the Roswell Read More...

Because we build plots using layers in ggplot2. We can add multiple geoms to a plot to represent the data in unique ways. #We can combine geoms; here we combine a scatter plot with a # Read More...

#Setting a theme my_theme

#use `|` operator #look at only results with named genes (not NAs) #and those with a log fold change greater than 2 #and either a p-value or an FDR corrected p_value 2, (PValue | FDR

03/11/2021 - Abstract: Targeted quantitative proteomics using multiple/parallel reaction monitoring (MRM, PRM) is already being applied by many researchers in biology, biochemistry, and clinical research laboratories. These methods allow rapid and precise quantitation of proteins Read More...

Q2studio Graphical user interface Q2cli Command line interface The classic way to use qiime2 Artifact API Python 3 application programming interface (API) for QIIME 2 Use with Jupyter notebook Recommended for advanced users Galaxy The Read More...

The computational chemistry and protein modeling team in the Advanced Biomedical Computational Science (ABCS) group provides novel solutions in structural modeling and computational chemistry. Computational scientists in the group collaborate with NCI researchers by using Read More...

02/12/2020 - This two-day instructor-led course gives participants a broad study of networking options on Google Cloud Platform. Through presentations, demonstrations, and hands-on labs, learners explore and deploy GCP networking technologies, such as Google Virtual Private Read More...

Let's submit a batch job. We are going to download data from the Sequence Read Archive (SRA), a public repository of high throughput, short read sequencing data. We will discuss the SRA a bit Read More...

01/22/2026 - Attend this webinar to learn more about XNAT Scout—a new extension of the XNAT imaging informatics platform that’s designed to close the gap between artificial intelligence (AI) model development and clinical deployment. Read More...

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 will Apply Read More...

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 have already been filtered Read More...

There are many complementary R packages related to creating publishable figures using ggplot2. Check out the packages cowplot and ggpubr . Cowplot is particularly great for providing functions that facilitate arranging multiple plots in a grid Read More...

Often we will apply multiple functions to wrangle a data frame into the state that we need it. For example, maybe you want to select and filter. What are our options? We could run one Read More...

Often we will apply multiple functions to wrangle a data frame into the state that we need it. For example, maybe you want to select and filter. What are our options? We could run one Read More...

The bulk RNA-Seq test data we've been working with is in FASTQ format. We'd like to do a BLAST search on a couple of these sequences. Data must be in FASTA format to Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Always remember to activate the bioinfo environment when working on Biostar class materials. conda activate bioinfo The bulk RNA-Seq test data we've Read More...

04/16/2026 - The ability to measure gene expression levels for individual cells (vs. pools of cells) and with spatial resolution is crucial to address many important biological and medical questions, such as the study of stem Read More...

04/09/2026 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering several trainings that cover general concepts behind statistics and epidemiology. These trainings will help participants Read More...

03/24/2026 - Overview This 3-day, virtual workshop will explore how foundation models —a powerful class of advanced  AI models  —can transform cancer research and clinical care. We will Read More...

03/11/2026 - This one-hour online training, the second session of the two-part series,  focuses on reshaping and enriching the cleaned patient dataset to prepare it for analysis and reporting. Attendees will practice splitting and Read More...

02/19/2026 - Dr. John Quackenbush, a Harvard professor and NCI grantee, will describe the conceptual framework for these network tools, demonstrate some practical applications, and explain how they can help you tackle complex biological questions about Read More...

01/21/2026 - Attendees will learn about the art of choosing the best machine learning models, which involves evaluating model performance on a given dataset to determine which model is best suited for the task. This process Read More...

01/14/2026 - This one-hour online training, provided by SAS, will review multiple ways to combine SAS data sets. By the end of this training, attendees will be able to: Utilize Concatenation on SAS data sets (SET Read More...

12/02/2025 - The SeqSPACE Planning Committee is pleased to announce a two-part webinar series highlighting the work of four junior investigators selected through our recent call for abstracts. Part 1 will feature presentations by Dr. Jing Dong Read More...

10/01/2025 - This one-hour online training, provided by SAS, will review multiple ways to combine SAS data sets. By the end of this training, attendees will be able to: Utilize Concatenation on SAS data sets (SET Read More...

07/21/2025 - Profe or Angela Brook i a leader in the development and application of high-throughput genomic and computational approache to inve tigate gene regulation. Her re earch focu e on characterizing mutation impacting RNA expre Read More...

07/15/2025 - This is the final lesson in the course Introductory R for Novices: Introduction to Data Wrangling. This lesson will show attendees how to join multiple data frames and transform and create new variables using Read More...

05/13/2025 - In this one hour and half hour online training, attendees will apply deep learning to brain MRI images.   By the end of this training, attendees will be able to:& Read More...

This is part II of the article highlighting nf-core pipelines and specifically addresses the use of these pipelines in the DNAnexus cloud environment. Part I of the article can be found in the October 2023 topic Read More...

03/17/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a several trainings that cover general concepts behind statistics and epidemiology. These trainings will help Read More...

01/08/2025 - This three hour online training will focus on getting started on using QIAGEN’s  Ingenuity Pathway Analysis (IPA) . IPA enables you to quickly identify biological relationships, mechanisms, pathways, functions and Read More...

12/03/2024 - 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...

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...

07/17/2024 - In this one hour and half hour online training, attendees will apply deep learning to brain MRI images.    By the end of this training, the attendees will be able to :    Read More...

06/20/2024 - Dr. Irizarry will share findings demonstrating limitations of current workflows that are popular in single cell RNA-Seq data analysis. Specifically, he will describe challenges and solutions to dimension reduction, cell-type classification, and statistical significance Read More...

The metadata in the Seurat object is located in adp@metadata and contains the information associated with each cell. We can access the metadata using: head(adp@meta.data) #using head to return only the Read More...

To load a single file, we use W10

05/28/2024 - NCI is launching the virtual Cancer AI Conversations series featuring multiple perspectives on timely topics and themes in artificial intelligence for cancer research!  Each event features short talks from 2-4 subject matter Read More...

05/15/2024 - In this one-hour webinar, you'll get a demonstration of DNASTAR Lasergene Software. DNASTAR offers software solutions for molecular biology, protein analysis, and genomics. This presentation will focus on an overview of the applications Read More...

03/26/2024 - NCI is launching the virtual Cancer AI Conversations series featuring multiple perspectives on timely topics and themes in artificial intelligence for cancer research!  Each event features short talks from 2-4 subject matter Read More...

03/04/2024 - This class is designed for those who want to extend the basics of R Markdown and apply those skills in Quarto. Quarto is an open-source scientific and technical publishing system that offers multilingual programming Read More...

Unlike an atomic vector, a list can contain multiple elements of different types, (e.g., character vector, numeric vector, list, data frame, matrix).

Putting what we have learned to the test: The following questions synthesize several of the skills you have learned thus far. It may not be immediately apparent how you would go about answering these questions. Read More...

{{Sdet}} Solution{{Esum}} #multiple ways to find color blind friendly palettes. #using color brewer scales RColorBrewer :: display.brewer.all ( colorblindFriendly = TRUE ) ggplot ( iris ) + geom_point ( aes ( Petal.Length , Petal.Width , color = Species )) + coord_fixed ( ratio = 1 , Read More...

(Inspired by Visualizing Data in the Tidyverse, a Coursera lesson) Consider whether the plot type you have chosen is the best way to convey your message Make your plot visually appealing Careful color selection - Read More...

::: columns ::: {.column width="75%"} - No install of R or RStudio required. We will access RStudio server through the DNAnexus platform. Course documentation available at https://bioinformatics.ccr.cancer.gov/docs/rintro/index.html . ::: ::: {. Read More...

In genomics, we work with a lot of tabular data - data organized in rows and columns. The data structure that stores this type of data is a data frame . Data frames are collections of Read More...

Last lesson we discussed the three basic components of creating a ggplot2 plot: the data , one or more geoms , and aesthetic mappings . ggplot(data = ) + (mapping = aes()) But, we also learned of other features that greatly Read More...

A geom is the geometrical object that a plot uses to represent data. People often describe plots by the type of geom that the plot uses. --- R4DS There are multiple geom functions that Read More...

Lesson 6 Exercise Questions: ggplot2 Putting what we have learned to the test: The following questions synthesize several of the skills you have learned thus far. It may not be immediately apparent how you would go Read More...

Vectors are probably the most used commonly used object type in R. A vector is a collection of values that are all of the same type (numbers, characters, etc.). The columns that make up a Read More...

Let's explore how piping streamlines this. Piping (using |> ) allows you to employ multiple functions consecutively, while improving readability. The output of one function is passed directly to another without storing the intermediate steps Read More...

“Tidy datasets are all alike, but every messy dataset is messy in its own way.” –– Hadley Wickham. Messy data sets tend to share five common problems: Column headers are values, not variable names. Multiple variables Read More...

Let's explore how piping streamlines this. Piping (using |> ) allows you to employ multiple functions consecutively, while improving readability. The output of one function is passed directly to another without storing the intermediate steps Read More...

01/23/2024 - NCI is launching the virtual Cancer AI Conversations series featuring multiple perspectives on timely topics and themes in artificial intelligence for cancer research!  Each event features short talks from 2-4 subject matter 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...

01/27/2026 - The SeqSPACE Planning Committee is pleased to announce the second webinar of our two-part webinar series highlighting the work of four junior investigators selected through our recent call for abstracts. Part 2 will feature presentations Read More...

05/19/2025 - Immunotherapy has the potential to revolutionize the way we treat cancer, but a key challenge has been finding ways to tailor that therapy to the right patient at the right time. Attend this webinar, Read More...

  Update: Please contact your IC representative to get access to the Anaconda Business license as it has transitioned from enterprise to seat-based licensing. For questions, email anaconda@nih.gov. Anaconda ( https://www.anaconda. 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...

10/24/2024 - NIH Text Mining and Natural Language Processing SIG is pleased to welcome you to this special event featuring two extraordinary speakers focused on the applications of Deep Learning in Computational Biology.  & Read More...

08/08/2024 - What are common statistical analyses for binary data? What is the distribution of your binary dependent variable? What is the difference from normally distributed data? How do you model the binary outcome with multiple Read More...

06/20/2024 - What are common statistical analyses for continuous data? Can you check whether your continuous outcome is normally distributed? What are the methods when the data are not normal? How do you model the outcome Read More...

Differential expression analysis is the process of identifying genes that have a significant difference in expression between two or more groups. For many sequencing experiments, regardless of methodology, differential analysis lays the foundation of the 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...

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...

Now, that we have clusters, we can use differential expression analysis to uncover markers that define our clusters. These markers can be used to assign cell types to our clusters. First, because we are working 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...

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...

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...

The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . We are going to use the filtlowabund_scaledcounts_airways.txt file Read More...

Lesson 2 Exercise Questions: Part 1 (BaseR subsetting and Factors) The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . We are going Read More...

Notice that "sample" was treated as numeric, rather than as a character vector. If we intend to work with this column, we will need to convert it or coerce it to a character Read More...

A way to add variables to a plot beyond mapping them to an aesthetic is to use facets or subplots. There are two primary functions to add facets, facet_wrap() and facet_grid() . If faceting Read More...

The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . We are going to use the filtlowabund_scaledcounts_airways.txt file Read More...

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

Lesson 3 Exercise Questions: BaseR dataframe manipulation and factors The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . We are going Read More...

We can also use mutate to coerce variables. To mutate across multiple columns, we need to use the function across() with the select helper where() . #view sscaled glimpse(sscaled) Rows: 127,408 Columns: 6 $ sample 508, 508, 508, 508, 508, 508, 508, 508, 508, 508, 508, 5… $ cell "N61311& Read More...

We can also use mutate to coerce variables. To mutate across multiple columns, we need to use the function across() with the select helper where() . ::: {.cell} #view sscaled glimpse ( sscaled ) ::: {.cell-output .cell-output-stdout} Rows: 127,408 Columns: 6 $ sample 508, 508, 508, 508, 508, 508, 508, 508, 508, 508, 508, 5… $ Read More...

The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of class here . The diffexp_ Read More...

Lesson 5 Exercise Questions: Tidyverse The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of Read More...

The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of class here . The diffexp_ Read More...

Lesson 2 Exercise Questions: Part 2 (Tidyverse) The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside Read More...

The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of class here . The diffexp_ Read More...

Lesson 4 Exercise Questions: Tidyverse The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of Read More...

The geom functions require a mapping argument. The mapping argument includes the aes() function, which "describes how variables in the data are mapped to visual properties (aesthetics) of geoms" (ggplot2 R Documentation). If Read More...

Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...

How many rows per sample are in the scaled_counts data frame? scaled_counts |> group_by(dex, sample) |> summarize(n=n()) #there are multiple functions that can be used here `summarise()` has grouped Read More...

The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of class here . The diffexp_ Read More...

Lesson 4 Exercise Questions: Tidyverse The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of Read More...

How many rows per sample are in the scaled_counts data frame? ::: {.cell} scaled_counts |> group_by ( dex , sample ) |> summarize ( n = n ()) #there are multiple functions that can be used here ::: {.cell-output .cell-output-stderr} ` Read More...

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review 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...

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...

In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...

In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to 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...

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...

Objectives To understand some of the most basic features of the R language including: Creating R objects and understanding object types Using mathematical operations Using comparison operators Creating, subsetting, and modifying vectors By the end Read More...