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Search Results for: rh IL-15

Total Results Found: 135

Total Results Found: 135

Bioinformatics for Beginners 2022: Lesson 15 Practice

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Bioinformatics

Lesson 15 Practice Objectives Previously, we performed QC on the Golden Snidget RNA sequencing data, aligned the sequencing reads to its genome, and obtained expression counts. We can now finally perform differential expression analysis, to find Read More...

Biopharmaceutical Development Program (BDP)
Frederick, MD

Collaborative

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...

Microfluidic Diffusion Sizing (MDS) - Fluidity One-M

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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...

Joining and Transforming Data with dplyr

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Bioinformatics

07/15/2025 - Thi i the final le on in the cour e Introductory R for Novice : Introduction to Data Wrangling. Thi le on will how attendee how to join multiple data frame and tran form and Read More...

Introduction to Bioconductor and report generation with R

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Bioinformatics

02/15/2024 - This lesson will be divided into two parts. Part 1 will introduce Bioconductor, an R package repository for the analysis of biological data. Part 2 will introduce RMarkdown and Quarto for report generation with R.

R Introductory Series: Selecting columns

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Bioinformatics

select() requires the data frame followed by the columns that we want to select or deselect as arguments. #select the gene / transcript, logFC, and FDR corrected p-value #first argument is the df followed by columns Read More...

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Bioinformatics

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...

Data Wrangling with R: We can rename while selecting.

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Bioinformatics

#rename using the syntax new_name = old_name ex1 ## 1 TSPAN6 -0.390 0.00283 ## 2 DPM1 0.198 0.0770 ## 3 SCYL3 0.0292 0.844 ## 4 C1orf112 -0.124 0.682 ## 5 CFH 0.417 0.00376 ## 6 FUCA2 -0.250 0.0186 ## 7 GCLC -0.0581 0.794 ## 8 NFYA -0.509 0.00126 ## 9 STPG1 -0.136 0.478 ## 10 NIPAL3 -0.0500 0.695 ## # ℹ 15,916 more rows Note If you want to retain Read More...

Data Wrangling with R: Helper functions

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Bioinformatics

We can also include helper functions such as starts_with() and ends_with() select(dexp, transcript, starts_with("log"), FDR) ## # A tibble: 15,926 × 4 ## transcript logFC logCPM FDR ## ## 1 TSPAN6 -0.390 5.06 0.00283 ## 2 DPM1 0.198 4.61 0.0770 ## 3 SCYL3 0.0292 3.48 0.844 ## 4 C1orf112 -0.124 1.47 0.682 ## 5 Read More...

Data Wrangling with R: Selecting a range of columns

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Bioinformatics

Notice that we can select a range of columns using the : . We could also deselect a range of columns or deselect a range of columns while adding a column back. ex3 ## 1 ENSG00000000003 0.000312 0.00283 -0.390 ## 2 ENSG00000000419 0.0281 0.0770 0.198 ## 3 ENSG00000000457 0.763 0.844 0.0292 ## 4 Read More...

Data Wrangling with R: mutate()

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Bioinformatics

mutate() adds new variables and preserves existing ones; transmute() adds new variables and drops existing ones. New variables overwrite existing variables of the same name. --- dplyr.tidyverse.org Let's create a column in Read More...

Data Wrangling with R: Reordering rows

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Bioinformatics

There are many steps that can be taken following subsetting (i.e., filtering by rows and columns); one of which is reordering rows. In the tidyverse, reordering rows is largely done by arrange() . Arrange will Read More...

Data Wrangling with R: We can reorder using select().

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Bioinformatics

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...

Genomics in Space

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Bioinformatics

04/15/2025 - The Demystifying Medicine Series, jointly sponsored by FAES and NIH, includes presentations on pathology, diagnosis, and therapy in the context of major disease problems and current research. Primarily directed toward PhD students, clinicians and Read More...

AI Literacy: Navigating the World of Artificial Intelligence

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Bioinformatics

01/15/2025 - This one-hour online training will cover the fundamentals, applications, and ethical considerations of Artificial Intelligence (AI). Attendees will explore key topics such as machine learning, deep learning, data handling, and real-world AI applications across Read More...

Navigating Data Access and Best Practices

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Bioinformatics

01/15/2025 - The goal is to support broad data sharing and reuse that benefits the entire cancer community. This event will cover best practices for accessing controlled data and highlight updates on the new NIH security Read More...

Survival Analysis in R Using the survival Package

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Bioinformatics

01/15/2025 - This session of the BTEP Coding Club will demonstrate how to use the R package “survival” to conduct a survival analysis of an example dataset.  Senior Programmer and Analyst, Duncan Donohue, PhD, will cover Read More...

Overview of Study Design: Part 2

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Bioinformatics

11/15/2024 - 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...

NCI Cancer Research Data Commons (CRDC) Symposium

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Bioinformatics

10/16/2024 - The CRDC will celebrate its 10th anniversary with this one-and-a-half-day event highlighting its accomplishments and looking ahead to exciting initiatives. We are planning many informative sessions and report-outs on new work, including our AI Read More...

Animal Model and Model Organism Information Resources

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Bioinformatics

10/15/2024 - This one-hour online training will cover techniques on locating biomedical research articles, patents, NIH-funded research projects, genetic information, and print and electronic books related to animal models and model organisms. This training will also Read More...

Variant Analysis with Qiagen CLC Genomics Workbench

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Bioinformatics

08/15/2024 - Qiagen’s CLC Genomics Workbench is a point-and-click software for analyzing multi-omics sequencing data including variant analysis, RNA sequencing, and ChIP sequencing. This class will demonstrate variant analysis using this software. Participants will be Read More...

AI in Personalized Immunotherapies

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Bioinformatics

05/15/2024 - 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. Karchin of the Johns Read More...

Webinar on DNASTAR Lasergene Software

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Bioinformatics

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...

Resources for Finding and Sharing Research Data

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Bioinformatics

02/15/2024 - This one-hour introductory class provides researchers with an overview of online resources for locating research datasets, data repositories, and data publications for data sharing and re-use. Participants will learn search strategies for locating datasets Read More...

R Introductory Series: Data Matrices

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Bioinformatics

Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (i.e., rows (m) and columns ( Read More...

R Introductory Series: Load the data

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Bioinformatics

To explore tidyverse functionality, let's read in some data and take a look. #let's use our differential expression results dexp "ENSG00000000003", "ENSG00000000419", "ENSG00000000457", "E… $ albut untrt, Read More...

Data Wrangling with R: Excluding columns

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Bioinformatics

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...

Data Wrangling with R: Importing data

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Bioinformatics

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...

Data Wrangling with R: Help Session Lesson 6

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Bioinformatics

Let's grab some data. library ( tidyverse ) acount_smeta % dplyr :: rename ( "Feature" = "...1" ) acount #differential expression results dexp % filter ( ! Feature %in% dexp $ feature ) ## # A tibble: 48,176 × 9 ## Feature SRR1039508 SRR1039509 SRR1039512 SRR1039513 SRR1039516 SRR1039517 ## ## 1 Read More...

Data Wrangling with R: Lesson 6: Continuing with Dplyr

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Bioinformatics

Help Session Lesson 6 Let's grab some data. library ( tidyverse ) acount_smeta % dplyr :: rename ( "Feature" = "...1" ) acount #differential expression results dexp % filter ( ! Feature %in% dexp $ feature ) ## # A tibble: 48,176 × 9 ## Feature SRR1039508 SRR1039509 SRR1039512 Read More...

Data Wrangling with R: Challenge data load

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Bioinformatics

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...

Data Wrangling with R: Practice problems

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Bioinformatics

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...

Data Wrangling with R: Lesson 2: Help Session

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Bioinformatics

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...

Data Wrangling with R: Data

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Bioinformatics

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...

Zoom-In Consult for Biowulf Users

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Bioinformatics

11/15/2023 - For inquires send email to staff@hpc.nih.gov Next edition of the NIH HPC monthly Zoom-In Consults! All Biowulf users, and all those interested in using the systems, are invited to stop by Read More...

Data Visualization in ggplot: Customizations

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Bioinformatics

11/15/2023 - This class provides an overview of options for customizing a ggplot graph. This class will focus on methods for creating small multiples, options for customizing a graph, and how to apply ggplot themes.& Read More...

GREI Collaborative Webinar: Metadata Recommendations

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Bioinformatics

09/15/2023 - Researchers and academic staff who support them, representatives from data repositories, and NIH staff interested in how metadata can make NIH-funded research more findable are invited to the GREI Metadata and Search subcommittee& Read More...

May 2024 Newsletter

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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural Core Resources NHGRI Flow Cytometry Core The Core performs high quality single cell analysis through the Read More...

NCI Synthetic Biologics Core
Frederick, MD

Core Facility

The research conducted within the Synthetic Biologics Core (SBC) Facility has a dual role: Generate chemical biology tools and drug candidates for molecular targets identified by NCI research groups, Develop novel effective methods and tools Read More...

February 2024 Newsletter

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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx Trans-NIH Metabolomics Core (TNMC) The TNMC is a shared research resource that provides targeted Read More...

March 2024 Newsletter

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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural CryoEM (NICE) Consortium NICE provides NCI, NIAID, NIEHS, NICHD, NIDCR, NEI, and NIA investigators with Read More...

April 2024 Newsletter

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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Extramural Common Fund Resources Metabolomics Workbench Developed by the NIH Metabolomics Common Fund's National Metabolomics Data Repository ( Read More...

About the Biophysics Core

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Home Biophysics Core Technologies Biophysics Core Services The Biophysics Core The Biophysics Core Facility (BCF) was established in 2008 in the NHLBI as an advanced service laboratory providing expertise, training, consultations, and instrument access for intramural Read More...

CLIA Molecular Diagnostics Laboratory
Frederick, Maryland

Core Facility

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...

NCI Clinical Support Laboratory: Flow Cytometry Section
Frederick, MD

Core Facility

Clinical Support Laboratory – Flow Cytometry Section is a laboratory specializing in providing immunophenotyping support of NCI intramural clinical trials, though assessments may also be performed using cells from Non-human primates and other species. The CSL Read More...

May 2023 Newsletter

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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Technology Event Biophysical Methods for Protein Interactions Monday, May 15 – Friday, May 19, 2023 This workshop will review the strategies of Read More...

NIH Clinical Center Pharmacy Department - Pharmacy Services
Bethesda, MD

Trans NIH Facility

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...

Isothermal Titration Calorimetry (ITC) – iTC200

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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...

September Newsletter 2022 (2)

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September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

June 2021

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CREx News & Updates June 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Visit here to learn about services from Read More...

NIH Clinical Center Positron Emission Tomography (PET)
Bethesda, MD

Core Facility

Trans NIH Facility

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...

November 2024 Newsletter

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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...

October 2024 Newsletter

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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...

NCI SAXS Facility
Frederick, MD

Collaborative

In order to meet increasing demands from both NIH intramural and extramural communities for access to a small angle X-ray scattering (SAXS) resource, the Center for Cancer Research (CCR) under the leadership of Drs. Jeffrey Read More...

July 2022 Newsletter

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CREx News & Updates July 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...

November 2021

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CREx News & Updates November 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight FACILITY HIGLIGHTS Learn more about services from the NINDS Quantitative Magnetic Resonance Imaging Core. NINDS Read More...

NIH AgingResearchBiobank
Bethesda, Maryland

Core Facility

Repositories

The AgingResearchBiobank was officially launched in January 2019 with a mission to provide a state-of-the-art inventory system for the storage, maintenance, and distribution of de-identified biospecimens and associated phenotypic, clinical, and imaging data from numerous NIA-funded Read More...

NIH Intramural Sequencing Center (NISC)
Rockville, MD

Trans NIH Facility

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...

NICE-NIH Intramural CryoEM Consortium

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[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...

Publications

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Confocal

2024 Senatorov IS, Bowman J, Jansson KJ, Alilin AN, Capaldo BJ, Lake R, Riba M, Abbey YC, Mcknight C, Zhang X, Raj S, Beshiri ML, Shinn P, Ngyuyen H, Thomas CJ, Corey E, Kelly K. Castrate Read More...

Contact Us

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Confocal

Our Team Tatiana S. Karpova Ph.D.Core Headkarpovat@nih.govBuilding 41, Room C615240-760-6637 David A. Ball Ph.D.Core Biologistballa@nih.govBuilding 41, Room B114D240-760-6577 Mohamadreza Fazel, Ph.D.Core Biologistmohamadreza. Read More...

Publications

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Confocal

2016-2024 Publications using images obtained in OMC

Publications

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Confocal

2024 L. Balagopalan, T. Moreno, H. Qin, B. C. Angeles, T. Kondo, J. Yi, K. M. McIntire, N. Alvinez, S. Pallikkuth, M. E. Lee, H. Yamane, A. D. Tran, P. Youkharibache, R. E. Cachau, N. Taylor, Read More...

Instrumentation

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Confocal

Zeiss LSM 880 NLO Laser Scanning Microscope Laser scanning microscope: 355nm UV laser 405nm, 594nm, 561nm and 633nm diode lasers Argon laser (458nm, 488nm and 514nm lines) Coherent Chameleon Vision II tunable (680nm – 1080nm) IR multiphoton Read More...

BTEP Video Archive of Past Classes

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Bioinformatics

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...

R Introductory Series: Filtering by row

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Bioinformatics

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...

R Introductory Series: Introduction to R and RStudio

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Bioinformatics

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...

Microbiome Analysis with QIIME2: Course Overview

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Bioinformatics

This course was designed to teach the basics of targeted amplicon data processing and analysis using the QIIME2 platform. Attendees will learn how to format data and metadata, import data, demultiplex sequences, trim sequences, denoise Read More...

Microbiome Analysis with QIIME2: Home

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Bioinformatics

Course Overview This course was designed to teach the basics of targeted amplicon data processing and analysis using the QIIME2 platform. Attendees will learn how to format data and metadata, import data, demultiplex sequences, trim Read More...

Data Wrangling with R: Unite and separate

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Bioinformatics

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...

Data Wrangling with R: Accessors

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Bioinformatics

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...

FAQ

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CRTP

No summary available.