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Search Results for: Cut

Total Results Found: 106

Total Results Found: 106

Bioinformatics for Beginners 2022: E-utilities

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Bioinformatics

{{Sdet}} Using e-utilities to programmatically grab the run info{{Esum}} esearch and efetch , can be used to query and pull information from Entrez . They aren't the easiest to understand or use, but you can Read More...

R Introductory Series: Nice plot example

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Bioinformatics

These steps can be used to create a publish worthy figure. For example, let's create a volcano plot of our differential expression results. A volcano plot is a type of scatterplot that shows statistical Read More...

Data Wrangling with R: Plotting with ggplot2

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Bioinformatics

For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and cut of each diamond. --- R4 Read More...

Bioinformatics for Beginners 2022: Download the data

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Bioinformatics

Make a directory called Lesson6_practice and change directories. {{Sdet}} Solution{{Esum}} mkdir Lesson6_practice cd Lesson6_practice {{Edet}} Navigate to the NCBI website and grab the accession information for the associated BioProject. Download the Read More...

BTEP Coding Club: Jupyter Notebook Menu Bar

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Bioinformatics

In the notebook panel of Jupyter Lab, there is a menu bar that allows users to save, cut/copy and paste and run cells. It also informs users which language the notebook is running. Importantly, Read More...

Services

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CRTP

No summary available.

NCI Genetics Branch: OMICS Technology Facility
Bethesda, MD

Collaborative

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions 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: Lesson 6 Practice

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Bioinformatics

Lesson 6 Practice The following was designed to practice skills learned in lesson 6. Find the data Here is a paper examining the relationship between the oral microbiome and nasopharyngeal carcinoma. Where can you find the associated Read More...

Bioinformatics for Beginners 2022: Lesson 16 Practice

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Bioinformatics

Lesson 16 Practice Objectives In this lesson, we learned about the classification based approach for RNA sequencing analysis. In this approach, we are aligning our raw sequencing reads to a reference transcriptome rather than a genome. Read More...

Bioinformatics for Beginners 2022: Lesson Review

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Bioinformatics

pwd (print working directory) ls (list) touch (creates an empty file) nano (basic editor for creating small text files) using the rm command to remove files. Be careful! mkdir (make a directory) and rmdir (remove Read More...

Bioinformatics for Beginners 2022: Module 1

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Bioinformatics

Module 1 Week 1 Introductions and File systems L1 Why bioinformatics? L2 Intro to statistics? Lesson 1 Intro to Course, learning objectives Intro to Unix operating system What is a shell (how to proceed Windows vs Mac) What Read More...

R Introductory Series 2023: Object data types

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Bioinformatics

R objects have certain attributes, and these attributes will be important for how they can interact with certain methods / functions. Understanding the mode (storage type) or the class of an object will be important for Read More...

CCR Collaborative Bioinformatics Resource (CCBR)
Bethesda, MD

Collaborative

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...

CCR Optical Microscopy Cores (COMC)

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Confocal

Our Mission The NCI Optical Microscopy Cores are instrumental in advancing cancer research through optical measurements and analysis. Serving the Center for Cancer Research community, which is home to approximately 250 Principal and Senior Investigators across 50 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...

Policies

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Confocal

Contact the LCBG Microscopy Core to discuss your experiment Please login to the Bookitlab with your NIH credentials and register as user. Once you have registered on the website, coordinate a 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...

Policies

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Confocal

General Usage Policies Principal investigators should read this document and sign it. PI’s/postdocs should attach a short-written summary of the project to the signed doc. If the project changes, Read More...

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...

Personnel

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Confocal

Gianluca Pegoraro, PhD gianluca.pegoraro@nih.gov Facility Head 240-760-6696 Bldg. 41, Room B909 Dr. Pegoraro received his Ph.D. in Molecular Genetics from the International School of Superior Studies in Trieste, Italy in 2004. After Read More...

Personnel

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Confocal

Stephen Lockett, Ph.D. Director, OMAL locketts@nih.gov 301-846-5515 Valentin Magidson, Ph.D. Scientist magidsonv@mail.nih.gov 301-846-6092 Will Heinz, Ph.D. Scientist heinzwf@nih.gov 301-846-1239 David Read More...

Publications

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Confocal

2024 Coutinho, L. L., Femino, E. L., Gonzalez, A. L., Moffat, R. L., Heinz, W. F., Cheng, R. Y. S., Lockett, S. J., Rangel, M. C., Ridnour, L. A. & Wink, D. A. NOS2 and Read More...

Policies

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Confocal

Contact the CCR Microscopy Core to discuss your experiment Thank you for your interest in using the CCR Microscopy Core. Please login to the Bookitlab with your NIH credentials and register Read More...

Resources

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Confocal

General Microscopy Resources Confocal Listserv Email discussion list focused on confocal microscopy, but also including topics on fluorescence microscopy and digital imaging. MicroscopyU Online learning platform by Nikon.  An online source for Microscopy education. Leica Read More...

Past Seminars

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Confocal

2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( 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...

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...

Bioinformatics for Beginners 2022: B4b 2022 rnaseq jw

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Bioinformatics

This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...

R Introductory Series 2023: R Basics

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Bioinformatics

R basics 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 Read More...

BTEP Coding Club: Shell script

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Bioinformatics

A script allows users to string together analysis steps and keep them in one document. It can be reused with or without modification to analyze similar datasets. The script (SRR23341296_statistics.sh) below will use Read More...

Personnel

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CRTP

No summary available.