NATIONAL CANCER INSTITUTE - CANCER.GOV

Search Results for: CAG-LSL-EGFR-WT

Total Results Found: 33

Total Results Found: 33

NCI LASP Mouse Modeling & Cryopreservation (MMC)
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...

Data Visualization with R: Question 2

Web Page

Bioinformatics

How might we plot automobile weight (wt) versus miles per gallon (mpg). {{Sdet}} Possible Solution{{Esum}} ggplot(mtcars, aes(wt, mpg)) + geom_point() {{Edet}}

Getting Started with scRNA-Seq Seminar Series: The Data

Web Page

Bioinformatics

In this tutorial, we are using data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . The raw count matrices are Read More...

Getting Started with scRNA-Seq Seminar Series: The data

Web Page

Bioinformatics

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

Getting Started with scRNA-Seq Seminar Series: The data

Web Page

Bioinformatics

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

BTEP Coding Club: ggplot2 syntax errors

Web Page

Bioinformatics

library(ggplot2) ggplot(mtcars) + geom_point(aes(wt, mpg, color = factor(cyl) shape = factor(cyl))) Error: <text>:4:18: unexpected symbol 3: geom_point(aes(wt, mpg, color = factor(cyl) 4: shape ^ Unexpected symbol in Read More...

BTEP Coding Club: ggplot2 syntax errors

Web Page

Bioinformatics

library(ggplot2) ggplot(mtcars) + geom_point(aes(wt, mpg, color = factor(cyl) shape = factor(cyl))) Error: <text>:4:18: unexpected symbol 3: geom_point(aes(wt, mpg, color = factor(cyl) 4: shape ^ Unexpected symbol in Read More...

Data Visualization with R: Question 5

Web Page

Bioinformatics

Create subplots by transmission (am). {{Sdet}} Possible Solution{{Esum}} ggplot(mtcars, aes(wt, mpg)) + geom_point(aes(color = factor(cyl),shape = factor(cyl),size=qsec))+ facet_wrap(~am) {{Edet}}

Data Visualization with R: Question 4

Web Page

Bioinformatics

Make the size of the points change by the quarter mile time (qsec). {{Sdet}} Possible Solution{{Esum}} ggplot(mtcars, aes(wt, mpg)) + geom_point(aes(color = factor(cyl),shape = factor(cyl),size=qsec)) {{Edet}}

Data Visualization with R: Question 3

Web Page

Bioinformatics

What if we want to represent the number of cylinders (cyl) by color and shape? {{Sdet}} Possible Solution{{Esum}} ggplot(mtcars, aes(wt, mpg)) + geom_point(aes(color = factor(cyl),shape = factor(cyl))) {{Edet}}

Data Visualization with R: Question 6

Web Page

Bioinformatics

Model the trend using geom_smooth() . What is the default method used by geom_smooth() ? {{Sdet}} Possible Solution{{Esum}} ggplot(mtcars, aes(wt, mpg)) + geom_point(aes(color = factor(cyl),shape = factor(cyl),size=qsec))+ Read More...

Data Visualization with R: Question 1

Web Page

Bioinformatics

Let's check out the structure of the data. {{Sdet}} Possible Solution{{Esum}} str(mtcars) ## 'data.frame': 32 obs. of 11 variables: ## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... ## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ... ## $ disp: num 160 160 108 258 360 ... ## $ hp : num 110 110 93 110 175 105 245 62 95 123 ... ## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... ## $ wt : num 2.62 2.88 2.32 3.21 3.44 ... ## $ qsec: num 16.5 17 18.6 19.4 17 ... ## $ vs : Read More...

Data Visualization with R: Scaling

Web Page

Bioinformatics

Prior to sending our data into the heatmap generating algorithm, it is a good idea to sacle. There are several reasons for doing this Variables in the data might not have the same units, thus Read More...

Data Visualization with R: Scaling

Web Page

Bioinformatics

Prior to sending our data into the heatmap generating algorithm, it is a good idea to sacle. There are several reasons for doing this Variables in the data might not have the same units, thus Read More...

Data Visualization with R: row-wise scaling

Web Page

Bioinformatics

Scaling is important during cluster analysis because it reduces the influence that variables with high magnitude values will have on distance. (https://medium.com/analytics-vidhya/why-is-scaling-required-in-knn-and-k-means-8129e4d88ed7). A common method for scaling is Read More...

BTEP Coding Club: Indexing errors

Web Page

Bioinformatics

Indices in R start with 1. Incorrect usage of indexing in data structures such as vectors or data frames will not necessarily result in an error, but will often lead to unexpected results. A general subscript Read More...

BTEP Coding Club: Indexing errors

Web Page

Bioinformatics

Indices in R start with 1. Incorrect usage of indexing in data structures such as vectors or data frames will not necessarily result in an error, but will often lead to unexpected results. A general subscript Read More...

Bioinformatics for Beginners 2022: 18. BLAST copy

Web Page

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: Lesson5

Web Page

Bioinformatics

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn how to work with the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify to Read More...