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Search Results for: Phage display

Total Results Found: 110

Total Results Found: 110

Antibody Engineering Program
Bethesda, MD

Collaborative

The Antibody Engineering Program (AEP) is located at the Laboratory of Molecular Biology, which is part of the Center for Cancer Research (CCR), an intramural program at the National Cancer Institute (NCI). AEP focuses on 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...

Antibody​​ Engineering Program

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The Antibody Engineering Program (AEP) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The program focuses on generating therapeutic antibodies by phage display technology, including human antibodies and Read More...

Emerging Technologies

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Many established and emerging technologies are available to CCR scientists.  This technology-rich environment makes the CCR a unique place to conduct scientific research.  Through the OSTR, the CCR continues to find Read More...

NCI Center for Structural Biology: Protein Technology Core
Frederick, MD

Collaborative

The primary objective of the Protein Technology Core (PTC) is to establish an experimental screening pipeline for single-domain antibodies termed nanobodies. Nanobodies are antibody fragments consisting of a single monomeric variable antibody domain. The PTC, Read More...

R Introductory Series: Change to color of the points by species to be color blind friendly, and change the legend title to "Iris Species". Label the x and y axis to eliminate the variable names and add unit information.

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Bioinformatics

{{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...

Data Visualization with R: Bar Plot

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Bioinformatics

A barplot is used to display the relationship between a numeric and a categorical variable. --- R Graph Gallery The tooth growth data can be visualized via a bar plot using geom_bar() , as dose Read More...

Data Visualization with R: Bar Plot

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Bioinformatics

A barplot is used to display the relationship between a numeric and a categorical variable. --- R Graph Gallery The tooth growth data can also be visualized via bar plot using geom_bar . However, if Read More...

Data Visualization with R: Question 3

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Bioinformatics

Change to color of the points by species to be color blind friendly, and change the legend title to "Iris Species". Label the x and y axis to eliminate the variable names and Read More...

R Introductory Series 2023: Change to color of the points by species to be color blind friendly, and change the legend title to "Iris Species". Label the x and y axis to eliminate the variable names and add unit information.

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Bioinformatics

{{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...

BTEP course: Complete the tunneling process

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Bioinformatics

salloc: Pending job allocation 3448569 salloc: job 3448569 queued and waiting for resources salloc: job 3448569 has been allocated resources salloc: Granted job allocation 3448569 salloc: Waiting for resource configuration salloc: Nodes cn4335 are ready for job srun: error: Read More...

BTEP Lessons: Practice Data

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Bioinformatics

There are a number of built-in data sets available for practicing with ggplot2. Check these out here! For example, mtcars is commonly used in ggplot2 documentation: ::: {.cell} ::: {.cell-output-display} ::: :::

BTEP Lessons: Changing the Geom function

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Bioinformatics

Let's plot the same data using geom_boxplot().A boxplot can be used to summarize the distribution of a numeric variable across groups. ::: {.cell output-location='slide'} ggplot(data=exdata) + geom_boxplot(aes(x=Treatment, Read More...

BTEP Lessons: Changing the Geom function

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Bioinformatics

We can see how easy it is to change the way the data is plotted. Let's plot the same data using geom_line(). ::: {.cell output-location='slide'} ggplot(data=exdata) + geom_line(aes(x=Number. Read More...

BTEP Lessons: Defaults

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Bioinformatics

There are many defaults when generating a plot with ggplot2, but almost everything you see can be customized. :::: {.columns} ::: {.column width="30%"} Here we can see: Assigned colors A legend axis titles a plot Read More...

R Introductory Series: Reshaping for plotting

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Bioinformatics

There are other reasons you may be interested in using pivot_wider or pivot_longer . In my experience, most uses revolve around plotting criteria. For example, you may want to plot two different but related Read More...

Data Visualization with R: The stat argument

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Bioinformatics

Until this point we have been plotting raw data with geom_point() , but now we will be introducing geoms that transform and plot new values from your data. Many graphs, like scatterplots, plot the raw Read More...

Data Visualization with R: The stat argument

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Bioinformatics

Until this point we have been plotting raw data with geom_point() , but now we will be introducing geoms that transform and plot new values from your data. Many graphs, like scatterplots, plot the raw Read More...

R and RStudio: Running R in NoMachine on Biowulf

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Bioinformatics

You have to VPN using Cisco AnyConnect Secure Mobility Client . Click Connect button and follow usual instructions. Following NoMachine Installation for Biowulf , double click the connection shortcut. You should see something like below. Fill in Read More...

BTEP Lessons: Expanding our ggplot2 template

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Bioinformatics

::: {.cell output-location='slide'} ggplot(exdata) + geom_point(aes(x=Number.of.Transcripts, y = Total.Counts, fill=Treatment), shape=21,size=3) + #can change labels of fill levels along with colors scale_fill_manual(values=c("purple& Read More...

BTEP Lessons: More on Colors

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Bioinformatics

There are a number of ways to specify the color argument including by name, number, and hex code. Here is a great resource from the R Graph Gallery for assigning colors in R. There are Read More...

Introduction to Unix on Biowulf - January 2024: Question 8

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Bioinformatics

Is there an application called salmon installed on Biowulf? {{Sdet}}{{Ssum}}Solution{{Esum}} module avail salmon salmon/1.7.0 salmon/1.10.0 salmon/1.10.1 (D) salmonte/0.4 Where: D: Default Module Module defaults are chosen based on Find First Rules due Read More...

BTEP Lessons: Map a Color to a Variable

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Bioinformatics

Is there a relationship between treatment ("dex") and the number of transcripts or total counts? ::: {.cell output-location='slide'} #adding the color argument to our mapping aesthetic ggplot(exdata) + geom_point(aes(x=Number. Read More...

BTEP Lessons: How can we modify colors?

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Bioinformatics

Colors are assigned to the fill and color aesthetics in aes(). We can change the default colors by providing an additional layer to our figure. To change the color, we use the scale_color functions: Read More...

BTEP Lessons: Using the template

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Bioinformatics

What is the relationship between total transcript sums per sample and the number of recovered transcripts per sample? ::: {.cell output-location='slide'} #let's plot our data ggplot(data=exdata) + geom_point(aes(x=Number.of. Read More...

CREx Newsletter Archive

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:root { --primary-action: rgb(0, 0, 0) !important; --primary-action: rgb(0, 0, 0) !important; } .container { width: 1440px; max-width: 100%; } #h2 { font-size: 2.2rem; margin-left: 20px; } /* Lazy Load Styles */ .card-image { display: block; min-height: 20rem; /* layout hack */ background: #fff center center no-repeat; background-size: cover; filter: blur(3 Read More...

Newsletter Archive

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/*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...

CCR Intravital Microscopy Core

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.row { display: flex; justify-content: space-around; align-items: flex-start; margin: 20px; } .column { text-align: center; padding: 10px; width: 30%; } .column img { display: block; margin: 0 auto; width: 150px; height: 150px; } .column strong { display: block; margin-top: 10px; } Background: Intravital microscopy (IVM) Read More...

Office of Collaborative Biostatistics
Bethesda, MD

Collaborative

The Office of Collaborative Biostatistics, Office of the Clinical Director, is the statistical and data management component of CCR. The Section provides statistical leadership and data management consultation for CCR’s major clinical activities and Read More...

Technology Video Library

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...

NCI Center for Advanced Preclinical Research (CAPR)
Frederick, MD

Collaborative

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...

Multi-Angle Light Scattering (MALS)

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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...

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...

Partek Flow Quick Start Guide

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Bioinformatics

Partek Flow enables scientists to build comprehensive workflows for analyzing multi-omics high throughput sequencing data including DNA and variant calling, bulk and single cell modalities for RNA, ChIP, and ATAC, spatial transcriptomics, CITE, and immune 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...

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...

Data Visualization with R: Lesson 4

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Bioinformatics

/* Whole document: */ body{ font-family: Times; font-size: 16pt; } Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar Read More...

R Introductory Series 2023: Introduction to R and RStudio

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Bioinformatics

Introduction to R and RStudio IDE 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 3. Read More...

R Introductory Series 2023: ggplot2 Continued

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Bioinformatics

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...

From the Beginning: Exome-Seq Data Analysis (2 day)

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Bioinformatics

02/21/2017 - This BTEP Workshop will cover the fundamentals and best practices of Exome-Seq analysis, including downstream interpretation of variants using a variety of in-house and NCI-licensed software solutions. There will be hands-on training on CCBR Read More...

R/Bioconductor Basics Workshop (2-day)

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Bioinformatics

10/22/2015 - /* element spacing */ p, pre { margin: 0em 0em 1em; } /* center images and tables */ img, table { margin: 0em auto 1em; } p { text-align: justify; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Read More...

R/Bioconductor Basics Workshop (2-day)

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Bioinformatics

01/29/2015 - /* element spacing */ p, pre { margin: 0em 0em 1em; } /* center images and tables */ img, table { margin: 0em auto 1em; } p { text-align: justify; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Read More...