Bethesda, MD
Collaborative
As a multi-user facility, the different instruments provide a wide range of imaging modes for EIB scientists, from standard immunohistochemistry, through brightfield and wide-field epifluorescence imaging, to highly complex live cell confocal microscopy and super-resolution Read More...
Bethesda, MD
Core Facility
LCMB Microscopy Core offers live cell imaging technologies as well as super-resolution, fluorescence lifetime and confocal imaging systems for immunofluorescence. Our confocal instruments are a Leica SP8 laser scanning confocal microscope and a Nikon spinning Read More...
Bethesda, MARYLAND
Core Facility
The CCR Microscopy Core provides NCI investigators access to state-of-the-art imaging tools and techniques, including light sheet fluorescence, high-resolution confocal, multi-photon, and super-resolution microscopy. The mission of the CCR Microscopy Core Facility is to support 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...
Bethesda, MD
Core Facility
The core provides access to several different state-of-the-art 3D microscopes as well as computers to visualize and process image data. The facility houses equipment for 2D or 3D imaging of fixed and living specimens. High Read More...
Bethesda, MD
Core Facility
The LCBG Microscopy Core offers imaging technologies and training. The Core has established instrumentation for for 2D and 3D imaging of both fixed and living specimens.
Frederick, MD
Core Facility
The Optical Microscopy Analysis Core (OMAC), formerly known as the Optical Microscopy Analysis Lab (OMAL), focuses its research and development activities to quantitatively understand the molecular basis of three-dimensional (3D) cell organization, motility, invasion, and Read More...
Bethesda, MD
Trans NIH Facility
The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with Read More...
Bethesda, MD
Trans NIH Facility
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 protein, macromolecular complexes, membrane receptors, cellular organelles, and Read More...
Frederick, MD
Collaborative
The Crystallization Facility provides an automated environment for setting up crystallization experiments in a high-throughput format, storing the resulting plates under controlled conditions, and monitoring the status of prepared droplets remotely. The Facility is in Read More...
Frederick, MD
Collaborative
The NMR Facility for Biological Research operates six NMR spectrometers with proton resonance frequencies from 850 to 500 MHz. Three of the highest field spectrometers (850, 700, 600) are equipped with higher sensitivity cryoprobes optimized for high-resolution multi-dimensional and relaxation Read More...
Web Page
CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural CryoEM (NICE) Consortium NICE provides NCI, NIAID, NIEHS, NICHD, NIDCR, NEI, and NIA investigators with Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Extramural Common Fund Resources Metabolomics Workbench Developed by the NIH Metabolomics Common Fund's National Metabolomics Data Repository ( Read More...
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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...
Rockville, MD
Trans NIH Facility
The Functional Genomics Laboratory (formerly, the RNAi Screening Facility) of the National Center for Advancing Translational Sciences (NCATS) assist investigators with all stages of project planning and execution, beginning with assay development through genome-wide siRNA Read More...
Web Page
[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...
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...
Bethesda, MD
Collaborative
The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery Read More...
Web Page
Confocal
Leica SP8 LSCM with white light laser The SP8 LIGHTNING confocal microscope allows you to make proper and detailed observations of fast biological processes. Your experimental work will have the benefit of super-resolution, high-speed imaging, Read More...
Web Page
Confocal
ZEISS Elyra 7 with Lattice SIM² Type: Wide-field structured illumination microscope Capabilities: Super resolution 2D and 3D imaging of live or fixed cells Apotome SIM: 170 nm lateral, 450 nm axial Apotome SIM2: 140 nm lateral, 300 nm axial Lattice Read More...
Web Page
Confocal
Yokogawa CV8000 High-throughput spinning disk confocal microscope The Yokogawa CV8000 is HiTIF second high-throughput imaging system. The CV8000 feature set is similar to the CV7000.When compared to the latter, the CV8000 has a newer Read More...
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Bioinformatics
- Can view disk usage and job info - Request more disk space - Evaluate job info for troubleshooting
Web Page
Bioinformatics
- Can view disk usage and job info - Request more disk space - Evaluate job info for troubleshooting
Web Page
Bioinformatics
NCI researchers can find instructions for accessing Partek Flow at https://bioinformatics.ccr.cancer.gov/btep/partek-flow-bulk-and-single-cell-rna-seq-data-analysis/ . But the things needed are A Biowulf (The High Performance Computing cluster) account — see here for information about Read More...
Web Page
Bioinformatics
NCI researchers can find instructions for accessing Partek Flow at https://bioinformatics.ccr.cancer.gov/btep/partek-flow-bulk-and-single-cell-rna-seq-data-analysis/ . But the things needed are A Biowulf (The High Performance Computing cluster) account — see here for information about Read More...
Web Page
Bioinformatics
The path to the local Downloads folder in Windows is shown below. It starts with the name of the disk that the folder is in. Windows uses letters in the alphabet to name disks. Replace Read More...
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Bioinformatics
You may request more space on /data, but this requires a legitimate justification. More information on data storage here. Important Data storage on the HPC system should not be for archival purposes. Note Though there Read More...
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Bioinformatics
You may request more space on /data, but this requires a legitimate justification. More information on data storage here. Important Data storage on the HPC system should not be for archival purposes. Note Though there Read More...
Web Page
Bioinformatics
NCI holds an institutional license for Partek Flow. Complete the steps below to access this software. Acquire a Biowulf (The High Performance Computing cluster) account — see here for information about how to obtain a HPC Read More...
Web Page
Confocal
Zeiss LSM 880 NLO Laser Scanning Microscope Laser scanning microscope: 355nm UV laser 405nm, 594nm, 561nm and 633nm diode lasers Argon laser (458nm, 488nm and 514nm lines) Coherent Chameleon Vision II tunable (680nm – 1080nm) IR multiphoton Read More...
Web Page
Confocal
Nikon SoRa Spinning Disk Capabilities: Inverted microscope Photo-metrics BSI sCMOS camera Yokogawa SoRa CSU-W1 spinning disk unit Super-resolution, confocal and wide-field imaging modes 4x, 10x, 20x and 60x objective lenses Mad City Labs 500 mm piezo Read More...
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Bioinformatics
As we learn more about R and start learning our first commands, we will keep a record of our commands using an R script. Remember, good annotation is key to reproducible data analysis. An R Read More...
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Bioinformatics
When exiting RStudio, you will be prompted to save your R workspace or .RData. The .RData file saves the objects generated in your R environment. You can also save the .RData at any time using Read More...
Web Page
Bioinformatics
Biowulf is the high performance computing cluster at NIH. When you apply for a Biowulf account you will be issued two primary storage spaces: 1) /home/$User and 2) /data/$USER , with 16 GB and 100 GB of default Read More...
Web Page
Bioinformatics
Essentially Biowulf is a scaled up version of your local computer. In Biowulf, many computers make up a cluster. Each individual computer or node has disk space for storage and random access memory (RAM) for Read More...
Web Page
Bioinformatics
As we learn more about R and start learning our first commands, we will keep a record of our commands using an R script. Remember, good annotation is key to reproducible data analysis. An R Read More...
Web Page
Bioinformatics
04/13/2022 - The first and the most common single cell application is single cell RNA-Seq, which enables scientists to focus on the gene expression profiles of individual cells rather than on tissue averages. Knowledge of expression Read More...
Web Page
Bioinformatics
04/19/2019 - Drop-in session: Bring your own computer or let us know if you need to borrow one (ncibtep@nih.gov). Get help logging into Biowulf, and working with your own data. Logging into your Biowulf Read More...
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Bioinformatics
A useful feature on the Biowulf website is the user dashboard. See Figure 1. For those using student accounts, please use the student dashboard. Figure 1: The user dashboard on Biowulf provides useful information for the user' Read More...
Web Page
Bioinformatics
What are some of the information that we can find from the Biowulf user dashboard? {{Sdet}}{{Ssum}}Solution{{Esum}} Group affiliation Disk storage usage and request storage quota increase for the user's data directory Read More...
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Bioinformatics
Create a new Jupyter Notebook in Python 3.12 (click on the "python/3.12" tile). The new notebook has the name "Untitled.ipynb". Click on the disk icon in the notebook menu bar to Read More...
Web Page
Bioinformatics
The User Dashboard provides Account information including group affiliations Disk usage and link to increase storage quota for user's data directory Information on submitted jobs Usage report There is also a student dashboard for Read More...
Web Page
Bioinformatics
The User Dashboard provides Account information including group affiliations Disk usage and link to increase storage quota for user's data directory Information on submitted jobs Usage report There is also a student dashboard for Read More...
Web Page
Bioinformatics
NCI researchers can find instructions for accessing Partek Flow at https://bioinformatics.ccr.cancer.gov/btep/partek-flow-bulk-and-single-cell-rna-seq-data-analysis/. Here is what is needed: Biowulf (The High Performance Computing cluster) account — see here for information about how Read More...
Web Page
Bioinformatics
Essentially Biowulf is a scaled up version of your local computer. In Biowulf, many computers make up a cluster. Each individual computer or node has disk space for storage and random access memory (RAM) for Read More...
Web Page
Bioinformatics
Essentially Biowulf is a scaled up version of your local computer. In Biowulf, many computers make up a cluster. Each individual computer or node has disk space for storage and random access memory (RAM) for Read More...
Web Page
Bioinformatics
When exiting RStudio, you will be prompted to save your R workspace or .RData. The .RData file saves the objects generated in your R environment. You can also save the .RData at any time using Read More...
Web Page
Bioinformatics
If all R could do was function as a calculator, it wouldn't be very useful. R can be used for powerful analyses and visualizations. As we learn more about R and begin implementing our Read More...
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Bioinformatics
First we will obtain the SRA data from the biostar handbook web site curl http://data.biostarhandbook.com/sra/sra-runinfo-2019-01.tar.gz --output sra-runinfo-2019-01.tar.gz Now we can unpack the data. tar Read More...
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Bioinformatics
When exiting RStudio, you will be prompted to save your R workspace or .RData. The .RData file saves the objects generated in your R environment. You can also save the .RData at any time using Read More...
Web Page
Bioinformatics
As we learn more about R and start learning our first commands, we will keep a record of our commands using an R script. Remember, good annotation is key to reproducible data analysis. An R Read More...
Web Page
Bioinformatics
We are going to place the FASTQC html reports for SRR1553606 in our Windows Downloads folder. The next step is to change into the Windows Downloads folder. Upon opening the command prompt, you should be Read More...
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Bioinformatics
When exiting RStudio, you will be prompted to save your R workspace or .RData. The .RData file saves the objects generated in your R environment. You can also save the .RData at any time using Read More...
Web Page
Bioinformatics
Biowulf is the high performance and Unix-based computing system at NIH. Below are some rationale for using Biowulf. Biowulf offers more computing power and space for data storage compared to our local machine. Biowulf also Read More...
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Bioinformatics
Biowulf is the high performance and Unix-based computing system at NIH. Below are some rationale for using Biowulf. Biowulf offers more computing power and space for data storage compared to our local machine. Biowulf also Read More...
Web Page
Bioinformatics
Biowulf is the high performance computing cluster at NIH. When you apply for a Biowulf account you will be issued two primary storage spaces: 1) /home/$User and 2) /data/$USER, with 16 GB and 100 GB of default Read More...
Web Page
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...
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Bioinformatics
Accessing Partek Flow at NIH and tips for data transfer Learning objectives After consulting this guide, participants will Know how to access Partek Flow at NIH. Be able to transfer data from NCI CCR Sequencing Read More...
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Bioinformatics
Accessing Partek Flow at NIH and tips for data transfer Learning objectives Instructions for accessing Partek Flow NCI researchers can find instructions for accessing Partek Flow at https://bioinformatics.ccr.cancer.gov/btep/partek-flow-bulk-and-single-cell-rna-seq-data-analysis/ . But Read More...
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Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Review: * cd * mkdir * curl * tar * cat * grep * wc * outputting data * piping data from one command to another * cut Learn: * du * pip * csvkit * datamash Read More...
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Bioinformatics
Here, let's download the HBR and UHR dataset to get acquainted with it. First, we will use pwd to make sure we are in the home directory. pwd If we are in the home Read More...
Web Page
Bioinformatics
Here, let's download the HBR and UHR dataset to get acquainted with it. First, we will use pwd to make sure we are in the home directory. pwd If we are in the home Read More...
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Bioinformatics
We are going to download some bulk RNA-Seq test data and learn how to decompress it. First we will create a place to store the data. Go to the directory you've created for working Read More...
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Bioinformatics
Let's download the data and learn how to decompress it. First, we will create a place to store the data. Go to the directory you created for working with class material. If you haven' Read More...
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Bioinformatics
Let's stay in the /data/username/unix_on_biowulf_2023_documents folder for this exercise (change into if not in this directory already). Note that the size of our content are listed as bytes. We Read More...
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Bioinformatics
Earlier, we used cp with the -r option to recursively copy the unix_on_biowulf_2024_documents directory and all of its contents to the data directory. Suppose we want to make a copy of just Read More...
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Bioinformatics
Sometimes you don't want git to track certain files (e.g. backup files created by your text editor, large data files, intermediate analysis files). This can be achieved using a special configuration file .gitignore Read More...
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Bioinformatics
The first step to versioning with Git in R studio is to create a project. Projects are useful as these are self contained folders that contain code and input. When shared, collaborators can save R Read More...
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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...
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Bioinformatics
R Crash Course: A few things to know before diving into wrangling Learning the Basics Objectives 1. Learn about R objects 3. Learn how to recognize and use R functions 4. Learn about data types and accessors Console Read More...
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Bioinformatics
Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took place from September 13th, 2022 to December 13th, 2022. Question 1 : Normalization - when to Read More...
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Bioinformatics
BTEP Bioinformatics for Beginners (September 13th, 2022 - December 13th, 2022) Questions and Answers Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took Read More...
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Bioinformatics
Lesson 7: Downloading the RNA-Seq Data and Dataset Overview Lesson Review 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 Read More...
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Bioinformatics
Lesson 4: Useful Unix For this lesson, you will need to login to the GOLD environment on DNAnexus. Lesson 3 Review Biowulf is the high performance computing cluster at NIH. When you apply for a Biowulf account Read More...
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Bioinformatics
Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...
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Bioinformatics
Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...
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Bioinformatics
Learning Objectives Understand the components of an HPC system. How does this compare to your local desktop? Learn about Biowulf, the NIH HPC cluster. Learn about the command line interface and resources for learning. What Read More...
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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...