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Bioinformatics
04/07/2021 - Description: This course is an introduction to scientific computing in Julia for those who have some experience programming in other languages. Basic concepts of Julia and its scientific stack will be introduced. We will Read More...
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Bioinformatics
03/24/2025 - AI Club is a weekly meeting that explores various topics relating to AI and deep learning in biomedical sciences, typically in a seminar, workshop, or journal club format. AI Club is intended to be Read More...
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Bioinformatics
08/27/2024 - This hands-on workshop will help you advance your microbiome analysis and computing skills, and help you learn new ways to leverage computing resources for your research. What you’ll learn: ● The basics of interacting Read More...
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Bioinformatics
05/28/2024 - Frederick Research Computing Environment (FRCE) and Computational Sciences Series In this session, we will explore how machine learning can be used to analyze whole slide pathological images (WSIs). We will showcase how to utilize Read More...
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Bioinformatics
09/30/2020 - Register Through large collaborative research projects, the field of neuroscience is gaining access to unprecedented amounts of information about the structure and function of the brain. These datasets are already having a profound impact Read More...
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Bioinformatics
09/18/2024 - Frederick National Laboratory Science and Technology Group: Work in Progress Seminar Series presents: “Modernization of Next Generation Sequencing Big Data Analysis Pipelines Leveraging NIH’s on-prem High Performance Computing Cluster … and Cloud.” Meeting ID: 225 592 603 654 Read More...
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Bioinformatics
08/22/2023 - In this session, we will discuss conceptual overview of a computing cluster, how to get access to the NCI cluster in Frederick (FRCE) and how to connect and run basic programs. We will also Read More...
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Bioinformatics
07/11/2023 - Attendees will learn about high performance computing (HPC) with the NIH cluster Biowulf. This resource contains hundreds of open source bioinformatics tools and biological databases. Participants will understand why it's important to be Read More...
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Bioinformatics
09/25/2020 - NCI Cancer Research Data Commons (CRDC) provides access to large-scale datasets such as The Cancer Genome Atlas (TCGA) that span multiple data types, including genomics, proteomics, imaging, and clinical data. The CRDC offers bioinformatics 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
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...
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Bioinformatics
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Bioinformatics
Biowulf (see Jupyter on Biowulf) Note: to install software on your government furnished computer, submit a ticket with https://service.cancer.gov/ncisp
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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...
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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...
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Bioinformatics
The id command informs groups that the user might be affiliated with. This is important when collaborating with others Biowulf such that our affiliation with groups will indicate that we have access to the data. Read More...
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Bioinformatics
Both a computational language and environment for statistical computing and graphics. Open-source and widely used by scientists, not just bioinformaticians. Extensible. Maintained by a network of collaborators - The R Core Team A resource for Read More...
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Bioinformatics
R is both a computational language and environment for statistical computing and graphics. It is open-source and widely used by scientists, not just bioinformaticians. Base packages of R are built into your initial installation, but Read More...
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Bioinformatics
12/04/2024 - Galaxy is a web-based computational workbench for analyzing and visualizing biomedical datasets that is used by thousands of scientists daily. Galaxy enables accessible, reproducible, and scalable biomedical data science by any scientist Read More...
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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...
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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...
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Bioinformatics
There are also versions of qiime2 available as modules on Biowulf, NIH’s high performance computing system. To see available versions use module avail qiime The default version on Biowulf is qiime2-2021.4, and the Read More...
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Bioinformatics
Biowulf is the NIH high performance computing cluster. It is a linux computing cluster with greater than 105,000 processors. The NIH HPC systems also house "hundreds of scientific programs, packages and databases" ( https://hpc. Read More...
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Bioinformatics
Biowulf is the NIH high performance computing cluster. It is a linux computing cluster with greater than 105,000 processors. The NIH HPC systems also house "hundreds of scientific programs, packages and databases" ( https://hpc. Read More...
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Bioinformatics
Computing differential expression (DESeq2, edger) Viewing the results (heatmaps) Meaningful results Pathway Analysis RNA Isoform Analysis
Frederick, MD
Core Facility
The Advanced Biomedical Computational Sciences (ABCS) group provides technology development, scientific consultation, collaboration and training, research, software development, and high-performance computing support. ABCS encompasses specialized groups focusing on machine learning applied to the interpretation of 2 Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging Read More...
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CREx News & Updates December 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight FACILITY HIGLIGHTS Learn more about services from the STRIDES Initiative. VIEW STRIDES INITIATIVE NIH Cores Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...
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Discover expert help with analysis, processing applications, and licensed software packages.
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Discover expert help with analysis, processing applications, and licensed software packages.
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Confocal
Image Analysis Signals Imaging Artist Next generation image analysis and management platform for high-content screening and cell imaging data. Quickly process, analyze, share, and store the vast volumes of data. Cell Profiler CellProfiler is free, Read More...
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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...
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Bioinformatics
07/29/2025 - Globu i a GUI-ba ed oftware uitable for efficiently tran ferring large data et uch a tho e generated from Next Generation equencing (NG ) to and from high performance computing y tem uch a Read More...
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Bioinformatics
06/12/2025 - During thi one-hour online training, participant will receive an overview of MATLAB, a high-level programming language and interactive environment widely u ed in cientific computing, engineering, and data analy i . In addition, thi training Read More...
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Bioinformatics
Anaconda ( https://www.anaconda.com/ ) is a package manager and distributor for a wide array of data science software. Package managers are ideal for scientists who conduct analysis on a personal computer as they eliminate Read More...
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Bioinformatics
03/21/2025 - Partek Flow is a point-and-click software for analyzing multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. Input options include FASTQ, BAM, or expression tables, thus enabling scientists Read More...
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Bioinformatics
03/20/2025 - This class will serve as a review for essential Unix commands needed for bioinformatics. It is suitable for those who took BTEP's recent Bioinformatics for Beginners course series ( https://bioinformatics.ccr.cancer.gov/ Read More...
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Bioinformatics
01/14/2025 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...
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Bioinformatics
12/12/2024 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require Read More...
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Bioinformatics
11/19/2024 - Partek Flow enables scientists to construct analysis workflows for multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. It is a point-and-click software hosted on Biowulf, the NIH Read More...
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Bioinformatics
11/12/2024 - In this hour and half online training, attendees will learn how to improve and optimize their MATLAB code to boost execution speed by orders of magnitude. The training covers common pitfalls in writing MATLAB Read More...
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Bioinformatics
Cancer research is a complex and data-intensive field. Cloud computing offers a powerful solution for researchers to store, analyze, and share large datasets efficiently. In this month’s topic spotlight, we will explore cloud resources Read More...
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Bioinformatics
09/19/2024 - Qiagen Ingenuity Pathway Analysis (IPA) is a point-and-click software that enables scientists to discern how genomic, transcriptomic, proteomic, and metabolomic changes influence molecular biology pathways and networks. This software is available to NCI investigators, Read More...
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Bioinformatics
09/12/2024 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...
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Bioinformatics
08/08/2024 - The Elemento lab combines Big Data analytics with experimentation to develop entirely new ways to help prevent, diagnose, understand, treat and ultimately cure disease. Our research involves routine use of ultrafast DNA sequencing, proteomics, Read More...
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Bioinformatics
07/24/2024 - As a cancer researcher, did you know that data sharing is now required by many funding agencies and journals? Join NCI CBIIT’s Dr. Jill Barnholtz-Sloan & Read More...
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Bioinformatics
07/24/2024 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require Read More...
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Bioinformatics
07/24/2024 - Partek Flow enables scientists to construct analysis workflows for multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. It is hosted on Biowulf, the NIH high performance computing Read More...
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Bioinformatics
R is both a computational language and environment for statistical computing and graphics. It is open-source and widely used by scientists, not just bioinformaticians. Base packages of R are built into your initial installation, but Read More...
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Bioinformatics
The role of cell clustering is to identify cells with similar transcriptomic profiles by computing Euclidean distances across genes . However, scRNA-Seq experiments include highly dimensional data, with each cell associated with the expression of thousands Read More...
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Bioinformatics
Clustering is used to group cells by similar transcriptomic profiles. Seurat uses a graph based clustering method. You can read more about it here . The first step is to compute the nearest neighbors of each Read More...
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Bioinformatics
05/23/2024 - Versioning enables researchers to track changes in coding projects. This Coding Club introduces Git (https://git-scm.com), an open-source software used to perform versioning on a personal computer. At the end of this class, Read More...
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Bioinformatics
05/09/2024 - This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is Read More...
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Bioinformatics
03/26/2024 - In this session, we will discuss the potential of GPUs, and when and why to use GPUs on the Frederick Research Computing Environment (FRCE). We will explore the possibilities of GPU-accelerated AI applications and Read More...
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Bioinformatics
03/05/2024 - This in-person, hands-on training will introduce participants to single cell RNA sequencing analysis using Partek Flow, a point-and-click software for analyzing high dimensional multi-omics sequencing data. At NIH, Partek Flow is hosted on the Read More...
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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...
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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...
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Bioinformatics
Partek Flow is a start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing sequencing Read More...
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Bioinformatics
Course Overview Partek Flow is a start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with Read More...
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Bioinformatics
Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...
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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...
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Bioinformatics
Welcome! Welcome to the R Introductory Series! Who: Novices and beginners\ What: A course series introducing R and RStudio. This course will introduce the foundational skills necessary to begin to analyze and visualize data in Read More...
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Bioinformatics
01/23/2024 - In this session, we will discuss the potential of GPUs, and when and why to use GPUs on the Frederick Research Computing Environment (FRCE). We will explore the possibilities of GPU-accelerated AI applications and Read More...
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Bioinformatics
01/09/2024 - This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming language and Read More...
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Bioinformatics
If we want to retain only the samples included in our diversity analyses, we can use qiime feature-table filter-samples to drop samples with read depths less than 10,000. qiime feature-table filter-samples \ --i-table filtered-table-3.qza \ --p-min-frequency 10000 \ --o-filtered-table Read More...
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Bioinformatics
NCI scientists have many choices available to them for bioinformatic analyses of Next Generation Sequencing (NGS) data. While some require expertise in programming, others provide a more user-friendly, point-and-click interface. These options include programs for Read More...
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Bioinformatics
10/25/2023 - Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing Read More...
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Bioinformatics
10/24/2023 - In this session, we will provide an overview of the Next-Generation Sequencing (NGS) capabilities and applications. We will present the workflows and analyses for Illumina short-read, PacBio, and Oxford Nanopore long-read sequencing on Frederick Read More...
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Bioinformatics
10/11/2023 - Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing Read More...
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Bioinformatics
10/04/2023 - This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming language and Read More...
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Bioinformatics
09/28/2023 - This is Lesson 4 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...
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Bioinformatics
09/27/2023 - Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing Read More...
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Bioinformatics
09/21/2023 - This is Lesson 3 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...
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Bioinformatics
09/14/2023 - In this 90-minute session, participants will learn to improve and optimize their MATLAB code to boost execution speed by orders of magnitude. The course covers common pitfalls in writing MATLAB code, explores the use Read More...
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Bioinformatics
09/14/2023 - This is Lesson 2 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...
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Bioinformatics
09/13/2023 - Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing Read More...
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Bioinformatics
09/07/2023 - This is Lesson 1 of the Fall 2023 Introduction to Unix on Biowulf Series. Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...
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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...
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Bioinformatics
Course setup Intro to DNAnexus and the GOLD learning system Learning Objectives Unix Bootcamp Brief Review of R (for R scripts in later analyses) Introduction to RNA Sequencing Central Dogma of Molecular Biology What is Read More...
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Bioinformatics
Getting Started with Biowulf Biowulf is the NIH high performance computing cluster. It is a linux computing cluster with greater than 105,000 processors. The NIH HPC systems also house "hundreds of scientific programs, packages and Read More...
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Bioinformatics
Getting Started with Biowulf Biowulf is the NIH high performance computing cluster. It is a linux computing cluster with greater than 105,000 processors. The NIH HPC systems also house "hundreds of scientific programs, packages and Read More...
Bethesda, MD
Trans NIH Facility
The NIH Biowulf Cluster provides researchers with a world-class system to assist in solving complex biomedical problems as diverse as gene variation in worldwide human populations, deep learning to model protein structures, and PET brain Read More...
Bethesda, MD
Trans NIH Facility
The Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative The STRIDES Initiative aims to help NIH and its institutes, centers, and offices (ICOs) accelerate biomedical research by reducing barriers in utilizing Read More...
Rockville, MD
Collaborative
Repositories
Proteomic Data Common (PDC) represents the NCI’s largest public repository of proteogenomic comprehensive tumor datasets, essentially a Proteogenomic Cancer Atlas. It was developed to advance our understanding of how proteins help shape the risk, 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...
Rockville, MD
Collaborative
Repositories
The NCI Cloud Resources are components of the NCI Cancer Research Data Commons (CRDC) that bring data and computational power together to enable cancer research and discovery. These cloud-based platforms eliminate the need for researchers Read More...
Bethesda, MD
Collaborative
The goals of the Bioinformatics Training and Education Program within NCI/CCR are: To make researchers aware of the bioinformatics resources available to them, To provide training and guidance on these resources regularly and at Read More...
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...
Rockville, MD
Collaborative
We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...
Frederick, MD
Core Facility
The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas Read More...
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...
Bethesda, MD
Repositories
Trans NIH Facility
The NCI Genomic Data Commons (GDC) was established by the NCI Center for Cancer Genomics (CCG) to support the receipt, harmonization, distribution, and analysis of genomic and clinical data from cancer research programs. The GDC Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
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Cores & Facilities From centralized laboratories to collaborative resources and technologies available to CCR Investigators. NCI Cores Centralized laboratories providing broad access to cutting-edge technologies and specialized expertise. Browse NCI Cores Collaborative Resources are technologies and Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...
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Protein/Protein Interaction Database Through a license agreement with Elsevier, the CCR community has access to the largest Y2H data set available in the world (CCR Database of Antibodies and Protein Interactions, C-DAPI). This Read More...
Frederick, MD
Core Facility
The research conducted within the Synthetic Biologics Core (SBC) Facility has a dual role: Generate chemical biology tools and drug candidates for molecular targets identified by NCI research groups, Develop novel effective methods and tools Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx Program Manager The CREx Team is happy to announce Deepika Velampati as the new CREx Program Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural Core Resources NHGRI Flow Cytometry Core The Core performs high quality single cell analysis through the Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. We would greatly appreciate Read More...
Bethesda, MD
Trans NIH Facility
The NIH MRI Research Facility (NMRF) is a shared, intramural resource for human imaging studies. The NMRF is supported by all Institutes at NIH and reports to the Shared Resources Subcommittee (SRS) of the Scientific Read More...
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September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...
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CREx News & Updates July 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...
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Confocal
Software Several software packages are available to users Arivis Vision 4D Arivis Vision4D is a modular software for working with multi-channel 2D, 3D and 4D images of almost unlimited size independent of Read More...
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Bioinformatics
nf-core is a community effort to generate a curated set of standardized, best-practice, reproducible, documented, NGS analysis pipelines. All these workflows are built using the versatile workflow manager, Nextflow , and have been released under the Read More...
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Bioinformatics
General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Desiree Tillo, Ph.D . Staff Scientist desiree.tillo@nih.gov I have a broad research background in bioinformatics Read More...
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Bioinformatics
Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...
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Bioinformatics
What is bioinformatics? Bioinformatics integrates biology, statistics, and computer science to develop and apply theory, methods, and tools for the collection, storage, and analysis of biological and related data. Bioinformatics plays a critical role in Read More...
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Bioinformatics
11/12/2024 - Join us at the upcoming hybrid NIH BRAIN NeuroAI Workshop on November 12 and 13, with virtual access to in-person panels and discussions at the NIH Campus in Bethesda, MD. Artificial intelligence (AI) is reshaping technology Read More...
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Bioinformatics
Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...
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Bioinformatics
07/11/2024 - Please join us for this special event featuring three speakers on the topic of Single-Cell Spatial Transcriptomics. George Zaki, Ph.D., Director, Applied Scientific Computing, BACS, The Frederick National Lab for Cancer Research, NCI/ Read More...
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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...
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Bioinformatics
Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...
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Bioinformatics
This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...
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Bioinformatics
The Advanced Biomedical Computational Science (ABCS) group focuses on applications of bioinformatics, computational and data science, and artificial intelligence to support NCI researchers. ABCS provides: • Subject matter expertise in genomics, proteomics, and imaging. • Machine learning/ 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
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
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...
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Bioinformatics
Learning Objectives Learn about data structures including factors, lists, data frames, and matrices. Load, explore, and access data in a tabular format (data frames) Learn to write out (export) data from the R environment Data Read More...
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Bioinformatics
R is both a computational language and open-source environment for statistical computing and graphics. While R programming was ranked 20 th in popularity when compared with other programming languages in December 2023, it remains a favorite among Read More...
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Bioinformatics
Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding Read More...
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Bioinformatics
Lesson 2: Getting Started with QIIME2 Lesson Objectives Obtain sequence data and sample metadata Import data and metadata Discuss other useful QIIME2 features including view QIIME2, provenance tracking, and the QIIME2 forum. DNAnexus DNAnexus provides a 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
Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's Read More...
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Bioinformatics
Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's 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...