Frederick, MD
Core Facility
Repositories
The Mouse Modeling Core assists NIH investigators by generating and preserving genetically-engineered mouse strains. Services include scientific consultation, gene-targeting in mouse embryonic stem cells, micro-injection of nucleic acids, proteins, or ES cells into mouse embryos, Read More...
Web Page
Bioinformatics
05/19/2022 - THIS EVENT HAS BEEN CANCELLED Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma of childhood and are subdivided into three major histomorphologic subtypes: alveolar (ARMS), embryonal (ERMS), or spindle/sclerosing (SSRMS). Patients with Read More...
Web Page
Bioinformatics
After this class, participants will Be able to describe Python data types and structures Become familiar with variable assignment Be able to use conditional operators and if-else statements Understand how loops and iterators can be Read More...
Web Page
Bioinformatics
06/25/2025 - Join tony Brook Univer ity&r quo; Dr. Joel altz a he di cu e : the role of pathology artificial intelligence (AI) in the creation of pathology imaging biomarker , including tumor infiltrating lymphocyte Read More...
Web Page
Bioinformatics
06/05/2025 - In the econd cla of the Python Introductory Education erie , participant will tart to dive into Python. Participant will walk away with knowledge of common Python data type and tructure a well a how Read More...
Web Page
Bioinformatics
06/12/2024 - Macros are ways to use code to substitute in a value, and using macros makes a code in SAS easier to read and edit, less prone to errors, and allows it to run more Read More...
Web Page
Bioinformatics
Let's create a column in our original differential expression data frame denoting significant transcripts (those with an FDR corrected p-value less than 0.05 and a log fold change greater than or equal to 2). dexp_sigtrnsc Read More...
Web Page
Bioinformatics
Let's create a column in our original differential expression data frame denoting significant transcripts (those with an FDR corrected p-value less than 0.05 and a log fold change greater than or equal to 2). ::: {.cell} dexp_ Read More...
Web Page
Bioinformatics
04/25/2023 - Macros are ways to use code to substitute in a value, and using macros makes a code in SAS easier to read and edit, less prone to errors, and allows it to run more Read More...
Web Page
Bioinformatics
05/16/2017 - Statistics for Biologists A high-level overview of basic statistical tools and statistical reasoning skills used in the study of biological data will be presented in this installment. This is an introductory course, requiring very Read More...
Web Page
Bioinformatics
After this class, participants will Be able to describe some common Python data types and structures Be able to identify Python data types Become familiar with variable assignment Be able to use conditional operators and Read More...
Frederick, MD
Core Facility
NCI LASP Genome Modification Core (GMC) is a CCR-dedicated facility that provides advice, training, and reagents to NCI scientists seeking to utilize CRISPR and other nucleases to generate genome modifications in primary cells, cell lines, Read More...
Web Page
Bioinformatics
Other useful data manipulation functions from dplyr include mutate() and transmute() . These functions allow you to create a new variable from existing variables. Perhaps you want to know the ratio of two columns or convert Read More...
Web Page
Bioinformatics
01/19/2022 - For our next CDSL Webinar we will have a guest lecture by Dr. Russell Rockne from Beckman Research Institute, City of Hope National Medical Center. Abstract: Temporal dynamics of gene expression inform cellular and Read More...
Bethesda, MD
Collaborative
The NCI High-Throughput Imaging Facility (HiTIF) works in a collaborative fashion with NCI/NIH Investigators by providing them with the necessary expertise, instrumentation, and software to develop and execute advanced High-Throughput Imaging (HTI) assays. These Read More...
Web Page
The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...
Web Page
Bioinformatics
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...
Web Page
Bioinformatics
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...
Web Page
Bioinformatics
Introduction to Data Wrangling with the Tidyverse Objectives Wrangle data using tidyverse functionality (i.e., dplyr ). To this end, you should understand: 1. how to use common dplyr functions (e.g., select() , group_by() , arrange() , mutate() , Read More...