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Search Results for: Herpes Vector Oncolytic Virus (Glioblastoma)

Total Results Found: 116

Biological Products Core (AIDS and Cancer Virus Program)
Frederick, Maryland

Core Facility

Repositories

The Biological Products Core provides the AIDS research community with high-quality purified preparations of various strains of Human Immunodeficiency Virus (HIV) and Simian Immunodeficiency Virus (SIV), economically prepared by leveraging the economy of scale. Materials Read More...

Bioinformatics for Beginners 2022: Coronavirus copy

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Bioinformatics

This page uses information directly from the Biostar Handbook by Istvan Albert (PSU). Activate the bioinformatics environment and install some software as directed. conda activate bioinfo conda update -y blast conda install -y cd-hit pip 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...

R Introductory Series: Lists

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Bioinformatics

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

R Introductory Series: Vectors

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Bioinformatics

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...

R Introductory Series: Using %in%

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Bioinformatics

%in% "returns a logical vector indicating if there is a match or not for its left operand". This logical vector can then be used to filter the datamframe to only matched values. For Read More...

R Introductory Series 2023: Vectors

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Bioinformatics

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...

R Introductory Series: Logical subsetting

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Bioinformatics

It is also possible to subset in R using logical evaluation or numerical comparison. To do this, we use comparison operators (See table below). Comparison Operator Description > greater than >= greater than or equal Read More...

R Introductory Series: Test your learning

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Bioinformatics

Given the following R code: fruit 678] c. Total_subjects(Total_subjects < 678) d. Total_subjects[Total_subjects < 678] {{Sdet}} Solution{{Esum}} D {{Edet}}

Data Wrangling with R: The %in% operator

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Bioinformatics

Used to match elements of a vector. %in% returns a logical vector indicating if there is a match or not for its left operand. --- match R Documentation. The returned logical vector will be the Read More...

R Introductory Series 2023: Logical subsetting

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Bioinformatics

It is also possible to subset in R using logical evaluation or numerical comparison. To do this, we use comparison operators (See table below). Comparison Operator Description > greater than >= greater than or equal Read More...

Protein Expression Laboratory

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Protein Expression Laboratory The Protein Expression Laboratory develops, improves, and delivers protein-centric services. Our goal is to help client investigators achieve their research goals with the lowest possible cost in the shortest time. All PEL Read More...

March 2023 Newsletter

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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...

CHTN Mid-Atlantic Division (University of Virginia)
Charlottesville, VA

Repositories

Trans NIH Facility

The Mid-Atlantic CHTN is one of six participating divisions of the Cooperative Human Tissue Network (CHTN) and is based in the Pathology Department at the University of Virginia. While primarily a resource for cancer researchers, Read More...

R Introductory Series: Using functions

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Bioinformatics

A function in R (or any computing language) is a short program that takes some input and returns some output. An R function has three key properties: Functions have a name (e.g. dir, getwd); Read More...

R Introductory Series: Data Structures

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Bioinformatics

Data structures are objects that store data. Previously, we learned that vectors are collections of values of the same type . A vector is also one of the most basic data structures. Other common data structures Read More...

R Introductory Series: What are factors?

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Bioinformatics

Factors are an important data structure in statistical computing. They are specialized vectors (ordered or unordered) for the storage of categorical data. While they appear to be character vectors, data in factors are stored as Read More...

R Introductory Series: Objectives

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Bioinformatics

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 of Read More...

R Introductory Series: Important functions

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Bioinformatics

factor() - to create a factor and reorder levels as.factor() - to coerce to a factor levels() - view the levels of a factor nlevels() - return the number of levels For example: sex

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: Subsetting Data (library(dplyr))

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Bioinformatics

select() - Filters data by column. Check out associated helper functions: Select specific columns: everything() last_col() Select columns by matching some aspect of the column name: starts_with() ends_with() contains() matches() num_range() Read More...

An Introduction to Pathogen Data at NCBI

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Bioinformatics

07/27/2023 - For 35 years, NCBI has collected a vast amount of sequence information including from a diverse array of organisms, including viruses, bacteria and fungi. With all of the databases and tools&nbsp;available& Read More...

R Introductory Series 2023: R basics

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Bioinformatics

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...

Mass Spectrometry for Proteins

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Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) Read More...

NIH Clinical Center, Center for Cellular Engineering
Bethesda, MD

Core Facility

Trans NIH Facility

The Center of Cellular Engineering (CCE) is a comprehensive facility that develops and manufactures a wide range of cell and gene therapies for early phase clinical trials. The CCE is currently manufacturing chimeric antigen receptor ( Read More...

CCR Radiation Oncology Branch Bioinformatics Core
Bethesda, Maryland

Collaborative

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...

Electron Microscopy

Web Page

Electron Microscopy Laboratory (EML) The EML offers investigators access to unique expertise and EM technologies that allow our partners to explore new avenues of research to enhance the knowledge of biological systems. To assist our Read More...

CCR Volume Electron Microscopy (CVEM)
Frederick, MD

Collaborative

CCR VOLUME Electron Microscopy (CVEM) aims to develop new techniques in volume electron microscopy (vEM) and, in collaboration with CCR Investigators, apply these techniques to research cell biological questions well-suited for study by high-resolution 3D Read More...

Spatiotemporal Modeling of Molecular Holograms

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Bioinformatics

03/20/2025 - Please note: Registration is required to get the Meeting Link for this event. Please pre-register. BTEP and the Single Cell and Spatial Transcriptomics Interest Group jointly present: Quantifying spatiotemporal dynamics during embryogenesis is crucial Read More...

R Introductory Series: Basics of R Programming

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Bioinformatics

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...

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: Object data types

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Bioinformatics

The data type of an R object affects how that object can be used or will behave. Examples of base R data types include numeric, integer, complex, character, and logical. R objects can also have Read More...

Bioinformatics for Beginners 2022: 18. BLAST copy

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Bioinformatics

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinformatics environment and create a directory for today's work. conda activate bioinfo mkdir blast cd blast What is Read More...

Bio-Layer Interferometry (BLI) - Octet RED96

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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...

Clinical Support Laboratory
Frederick, MD

Core Facility

The Clinical Support Laboratory offers processing, tracking, and testing of a broad range of clinical samples. Support can begin at the early stages of clinical trial development to aid in developing a comprehensive strategy for 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...

Pan-Microbial Serology Facility (PMSF)
Bethesda, MD

Collaborative

The Pan-Microbial Serology Facility (PMSF) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The PMSF focuses on determining individualized pan-microbial immune profiles associated with human diseases including immunological Read More...

Biophysics Core Technologies

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Home About the Biophysics Core Biophysics Core Services [tabby title="Instrumentation"] NHLBI Biophysics Core The Biophysics Core Facility: Overview Core Facilities provide scientific resources, cutting-edge technologies and novel approaches to support DIR scientists. Availability of Read More...

CCR Sequencing Facility
Frederick, MD

Core Facility

The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at 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...

Data Wrangling with R: Excel files (.xls, .xlsx)

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Bioinformatics

Excel files are the primary means by which many people save spreadsheet data. .xls or .xlsx files store workbooks composed of one or more spreadsheets. Importing excel files requires the R package readxl . While this Read More...