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Bioinformatics
07/25/2024 - Join us for an informative webinar on the GARDE software where Dr. Del Fiol will describe how GARDE works, how GARDE has been implemented to support population-based genetic testing, the GARDE chatbot, and results Read More...
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Bioinformatics
Differential abundance testing examines which taxa are significantly different in abundance between conditions. However, challenges such as sparsity, compositionality, and library size differences make this challenging to determine.
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Bioinformatics
Differential Expression data must be corrected for multiple testing. Two common methods are the “Bonferroni procedure” and “Benjamini–Hochberg procedure”. These forms or statistical correction will result in a “corrected pvalue”, or a qvalue or Read More...
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Bioinformatics
06/10/2025 - The tati ti c for Lun c h Training erie invite you to our June e ion: “Equivalen c y te ting in R”, pre ented by Dun c an Donohue, PhD. Thi talk Read More...
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Bioinformatics
10/29/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps). Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...
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Bioinformatics
Which reference genome are we using in this IGV session to view the alignment results for samples hcc1395_normal_rep1 and hcc1395_tumor_rep2? On what chromosome are the sequencing data mapping to? {{Sdet}} Solution{{ Read More...
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Bioinformatics
We will use the Source pane to keep a record of the code that we run. However, at times, we may want to do quick testing without keeping a record. This is the scenario in Read More...
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Bioinformatics
We will use the Source pane to keep a record of the code that we run. However, at times, we may want to do quick testing without keeping a record. This is the scenario in Read More...
Frederick, MD
Core Facility
The Clinical Support Laboratory offers processing, tracking, and testing of a broad range of clinical samples. Support can begin at the early stages of clinical trial development to aid in developing a comprehensive strategy for Read More...
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Bioinformatics
09/13/2024 - This course provides an introduction to data analysis using R, focusing on conducting various statistical tests and generating commonly used statistical regression models. Participants will learn how to perform hypothesis testing, calculate descriptive statistics, Read More...
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Bioinformatics
08/08/2024 - What are common statistical analyses for binary data? What is the distribution of your binary dependent variable? What is the difference from normally distributed data? How do you model the binary outcome with multiple Read More...
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Bioinformatics
06/20/2024 - What are common statistical analyses for continuous data? Can you check whether your continuous outcome is normally distributed? What are the methods when the data are not normal? How do you model the outcome Read More...
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Bioinformatics
06/11/2024 - This talk will cover the basics of statistical resampling methods such as bootstrap, Monte Carlo, and permutations for estimating parameters and testing hypotheses. We will discuss when you might want to use Read More...
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Bioinformatics
This tutorial has been 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 that have already been filtered Read More...
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Bioinformatics
05/22/2024 - This seminar provides an overview of differential expression testing with Seurat. Topics to be covered include preparing data for differential gene expression, d ifferential gene analysis between specific groups, d ifferential gene analysis for Read More...
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Bioinformatics
New versions of Bioconductor are released every 6 months and work with a specific version of R. Because of this release schedule and associated automated testing, "each Bioconductor release provides a suite of packages that Read More...
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Bioinformatics
Let's use our practice data set again, and see if we can predict group membership (old vs young) by microbial composition. We will use the sample-classifier pipeline. This pipeline splits our data into training Read More...
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Bioinformatics
11/21/2023 - Dear Colleagues, This presentation will provide an overview of OpenCRAVAT. Annotation and interpretation of cancer variants is critical to the design of personalized molecular therapies, and Read More...
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Bioinformatics
Fisher Exact Test DAVID performs over representation analysis (ORA) at its core, which aims to find enriched molecular functions, pathways, or other annotations represented by the input gene list. In other words, many genes in Read More...
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Bioinformatics
Fisher Exact Test DAVID performs over representation analysis (ORA) at its core, which aims to find enriched molecular functions, pathways, or other annotations represented by the input gene list. In other words, many genes in Read More...
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Bioinformatics
Differential Expression Differential expression involves the comparison of normalized expression counts of different samples and the application of statistical measures to identify quantitative changes in gene expression between the different samples. Normalization and Statistical Significance Read More...
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Bioinformatics
Normalization - the process of scaling data to account for uncontrolled factors affecting variation. Effect size - "the quantitative measure of the magnitude of a phenomenon" (Biostar Handbook). P-value - "the probability Read More...
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Bioinformatics
login node (head node) Used for submitting resource intensive tasks as jobs Editing and compiling code File management and data transfers on a small scale compute nodes (worker nodes) For computational processes Requires interaction with Read More...
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Bioinformatics
New versions of Bioconductor are released every 6 months and work with a specific version of R. Because of this release schedule and associated automated testing, "each Bioconductor release provides a suite of packages that Read More...
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Bioinformatics
10/25/2022 - What’s the difference between “regular” statistics (i.e. what you may have been using in the past several years) and the “new” Bayesian statistics? Which one should you use for your next study? Read More...
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Bioinformatics
08/23/2022 - This event has been cancelled and will be rescheduled. Are you clear on how deep learning fits into Machine Learning? Confused about the difference between training, testing, and validation datasets? Join us for an Read More...
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Bioinformatics
07/27/2021 - What’s the difference between “regular” statistics (i.e. what you may have been using in the past several years) and the “new” Bayesian statistics? Which one should you use for your next study? Read More...
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Bioinformatics
05/26/2021 - Webex Are you clear on how deep learning fits into machine learning? Confused about the difference between training, testing, and validation datasets? Join us for an overview of common machine learning terminology. While this Read More...
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Bioinformatics
11/18/2020 - Register What’s the difference between “regular” statistics (i.e. what you may have been using in the past several years) and the “new” Bayesian statistics? Which one should you use for your next Read More...
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Bioinformatics
05/16/2017 - Statistics for Biologists A high-level overview of basic statistical tools and statistical reasoning skills used in the study of biological data will be presented in this installment. This is an introductory course, requiring very Read More...
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Bioinformatics
We will use the Source pane to keep a record of the code that we run. However, at times, we may want to do quick testing without keeping a record. This is the scenario in Read More...
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Bioinformatics
DESeq2 and another popular differential expression analysis package edgeR model expression data generated from RNA sequencing using the negative binomial distribtution. "We assume that the number of reads in sample j that are assigned Read More...
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Bioinformatics
The script deg.R in b4b_script will be used perform differential expression analysis on the hcc1395 data. This script will use DESeq2 and takes the following as input. Filtered gene expression table, which Read More...
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Bioinformatics
Fisher Exact Test DAVID performs over representation analysis (ORA) at its core, which aims to find enriched molecular functions, pathways, or other annotations represented by the input gene list. With DAVID, we are essentially looking Read More...
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Bioinformatics
Recall that we are not supposed to use the login nodes to perform any computation intensive tasks on Biowulf. Instead, we should either submit a job (if staying in the log in node) with sufficient Read More...
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Bioinformatics
Upon signing onto Biowulf, users will land in the log-in node. Later on in this series, compute nodes will be introduced but essentially, the log-in nodes should not be used to perform compute intensive tasks. Read More...
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Bioinformatics
We land on the log in node once we connect to Biowulf. "The log in node is your point of access to the Biowulf cluster" -- Biowulf accounts and log in node The Read More...
Frederick, MD
Core Facility
The Animal Diagnostic Laboratory (ADL) provides a full range of diagnostic capabilities, including microbiological cultures on various culture medium, microscopic screening for parasites such as mites and pinworms, molecular detection of pathogens, serological evaluation of Read More...
Bethesda, MD
Collaborative
The Clinical Flow Cytometry Laboratory provides extensive support for NCI clinical protocols by providing diagnostic testing for leukemia and lymphoma in patients either on NCI clinical protocols or undergoing testing to determine eligibility for NCI Read More...
Bethesda, MD
Core Facility
Trans NIH Facility
The Department of Laboratory Medicine provides state-of-the-art laboratory testing in support of Clinical Center patient care and will serve as a center of excellence in research and training in laboratory medicine, particularly in areas which Read More...
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Bioinformatics
04/25/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the Read More...
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Bioinformatics
01/14/2025 - In this talk, we will cover the basics of survival analysis as a statistical methodology developed for censored data. Special emphasis will be on visualizing survival data, comparing survival-time distributions for subject groups, and Read More...
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Bioinformatics
11/13/2024 - This one-hour online training will cover several easy-to-use tools for analytic situations, including PROC FREQ (chi-square tests, Fisher's exact test), PROC TTEST, and PROC NPAR1WAY. This training covers the basic guidelines for Read More...
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Bioinformatics
11/08/2024 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
11/06/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps). Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...
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Bioinformatics
10/22/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps). Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...
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Bioinformatics
10/15/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps). Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...
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Bioinformatics
Now, that we have clusters, we can use differential expression analysis to uncover markers that define our clusters. These markers can be used to assign cell types to our clusters. First, because we are working Read More...
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Bioinformatics
04/23/2024 - What’s the difference between “regular” statistics (i.e., what you may have been using in the past several years) and the “new” Bayesian Read More...
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Bioinformatics
Now we know a bit about using functions, but what if I had no idea what the function round() was used for or what arguments to provide? Getting help in R is fairly easy. In Read More...
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Bioinformatics
Lesson 7: Course Wrap-Up Learning Objectives Introduce the QIIME2 microbiome workflow for Biowulf Review key concepts Showcase additional plugins QIIME 2 on Biowulf As mentioned previously, QIIME 2 is installed on Biowulf. To see available versions use module Read More...
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Bioinformatics
Luckily, there is a q2-longitudinal plugin to handle dependent longitudinal data. The q2-longitudinal plugin includes: interactive plotting (e.g., volatility plots) linear mixed effects models paired differences and distances non-metric microbial interdependence testing ( Read More...
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Bioinformatics
11/28/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
Interactive nodes are suitable for testing/debugging cpu-intensive code, pre/post-processing of data, graphical application, and to GUI interface to application. To start an interactive node, type "sinteractive" at the command line "$& Read More...
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Bioinformatics
Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 17 review In the previous class, we got an overview of Read More...
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Bioinformatics
After the merged expression counts table has been created, we can proceed with differential expression analysis. Let's use DESeq2 again for this. But first, let's move counts.csv (the merged salmon expression table) Read More...
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Bioinformatics
Lesson 14 Practice Objectives Here, we will practice using the Integrative Genome Viewer (IGV) to visualize the hcc1395 RNA sequencing alignment results. About the data and launching IGV We were introduced to the hcc1395 RNA sequencing Read More...
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Bioinformatics
Bioconductor is an R package repository for free open-source software that "facilitates rigorous and reproducible analysis of data from current and emerging biological assays" . Bioconductor is released semi-annually, with two working Bioconductor releases Read More...
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Bioinformatics
06/20/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
03/07/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This five-part lecture series will Read More...
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Bioinformatics
Now we know a bit about using functions, but what if I had no idea what the function round() was used for or what arguments to provide? Getting help in R is fairly easy. In Read More...
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Bioinformatics
09/28/2022 - We invite you to join us for the Neuro-Oncology Visiting Scholar Lecture scheduled for next week by Eytan Ruppin, M.D. Ph.D: Next Generation Transcriptomics-based Precision Oncology Eytan Ruppin received his M.D. Read More...
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Bioinformatics
07/12/2021 - Registration is required for this event Register Here NHGRI will host a new seminar series this year on the “Bold Predictions for Human Genomics by 2030” that are described in NHGRI’s “Strategic Vision for Read More...
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Bioinformatics
05/03/2021 - Abstract: We will discuss technical advantages of a personalized and tumor-informed multiplex PCR next generation sequencing assay, called Signatera™, that enables a sensitive, specific, and dynamic detection of molecular disease burden in cell-free DNA ( Read More...
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Bioinformatics
08/10/2020 - Copy Number Variation (CNV) is a type of structural variation in which sections of the genome are duplicated or deleted. Associated with being causal mutations for disease phenotypes, it is important in clinical and Read More...
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Bioinformatics
01/09/2020 - Description In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the Read More...
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Bioinformatics
10/26/2018 - Variant Analysis using Genomatix GeneGrid ** please bring laptop with Flash installed for the hands-on portion of this demo Susan M. Dombrowski, PhD and Peter Grant, Genomatix, Inc. Genomatix GeneGrid is a variant annotation and Read More...
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Bioinformatics
Login node (head node) Used for submitting resource intensive tasks as jobs Editing and compiling code File management and data transfers on a small scale Compute nodes (worker nodes) For computational processes Requires interaction with Read More...
Web Page
Bioinformatics
Login node (head node) Used for submitting resource intensive tasks as jobs Editing and compiling code File management and data transfers on a small scale Compute nodes (worker nodes) For computational processes Requires interaction with Read More...
Web Page
Bioinformatics
Now we know a bit about using functions, but what if I had no idea what the function setwd() was used for or what arguments to provide? Getting help in R is fairly easy. In Read More...
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Bioinformatics
Qlucore Omics Explorer (Qlucore) is a graphical user interface (GUI) based package used for -omics data anlaysis. Qlucore Omics Explorer can analyze many types of -omics data that are in tabular format (e.g., RNA Read More...
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CREx News & Updates February 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight ORS Division of Veterinary Resources (DVR) DVR is the central NIH lab animal support program 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...
Davis, CA
Trans NIH Facility
The Mouse Metabolic Phenotyping Center (MMPC)Live Program provides standardized, high quality, unique, and hard to find phenotyping services for mouse models of diabetes, obesity, and related metabolic disorders. Emerging as the next iteration of Read More...
Frederick, Maryland
Core Facility
The Protein Expression Laboratory produces proteins to help CCR investigators achieve their research goals with the lowest possible cost in the shortest time. PEL is operated by Leidos Biomedical Research Inc. on behalf of NCI Read More...
Bethesda, MD
Core Facility
The NHLBI Murine Phenotyping Core carries out physiologic and behavioral testing in a diversity of mouse models for NHLBI and other NIH institutes. Established Technologies: Cardiovascular Phenotyping, Metabolic Phenotyping, Pulmonary Phenotyping, Behavioral Phenotyping, Exercise Physiology, 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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx NCI CLIA Molecular Diagnostics Laboratory (CMDL) The NCI CMDL is available to assist all Read More...
Bethesda, MD
Core Facility
Trans NIH Facility
The NHLBI Transgenic Core’s main mission is to keep up with the latest advancements in genome engineering technologies and to provide state-of-the-art services to assist NIH scientists in generating genetically engineered animal models. In Read More...
Bethesda, MD
Trans NIH Facility
In support of Intramural Research Program (IRP) scientists, DOHS provides training, consulting, and resources to ensure that laboratory equipment is used and maintained properly and safely. We provide expert safety and health consulting support for Read More...
Bethesda, MD
Trans NIH Facility
The Metabolic Clinical Research Unit (MCRU) opened in 2007 as a key component of the Strategic Plan for NIH Obesity Research . The NIDDK worked closely with the Clinical Center to design the Unit, which houses state-of-the-art Read More...
Frederick, MD
Repositories
Trans NIH Facility
DTP’s Natural Products Repository is the world’s largest storehouse of natural products. It houses close to >200,000 extracts from samples of more than 70,000 plants and >20,000 marine organisms collected from more than 29 countries, plus extracts Read More...
Frederick, MD
Collaborative
NCI established the Nanotechnology Characterization Laboratory (NCL) to support the extramural research community to accelerate the progress of nanomedicine by providing preclinical characterization and safety testing of nanoparticles. It is a collaborative effort between NCI, Read More...
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CREx News & Updates June 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Visit here to learn about services from Read More...
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Protein Expression Laboratory The Protein Expression Laboratory develops, improves, and delivers protein-centric services. Our goal is to help client investigators achieve their research goals with the lowest possible cost in the shortest time. All PEL 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...
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...
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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 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...
Bethesda, MD
Trans NIH Facility
The Neurorehabilitation and Biomechanics Research Section (also referred to as the NAB LAB) is a multidisciplinary group of highly qualified scientists, clinical and technical staff, and trainees with diverse backgrounds including medical, physical therapy, neuroscience 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...
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...
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...
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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...
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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
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
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
1. Introduction and Learning Objectives This tutorial has been 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 that 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 To explore Bioconductor, a repository for R packages related to biological data analysis. To learn about options for report generation with R: RMarkdown and Quarto. Introducing Bioconductor Bioconductor is both an open source project 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
Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Lesson 17 review In the previous class, we got an overview of functional and pathway analysis, which help to put RNA sequencing results into biological Read More...
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Bioinformatics
Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...
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Bioinformatics
Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...
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Bioinformatics
Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...
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Bioinformatics
Prior to differential expression analysis, we need to generate a design.csv file that contains the samples and their corresponding treatment conditions. Note that csv stands for comma separated value so the columns in these Read More...
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Bioinformatics
Lesson 5: Working on Biowulf Lesson 4 Review Flags and command options Wildcards ( * ) Tab complete Accessing user history with the "up" and "down" arrows cat , head , and tail Working with file content (input, Read More...
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Bioinformatics
Lesson 1: Introduction to Unix and the Shell Lesson Objectives Course overview. Introduce Unix and describe how it differs from other operating systems. Introduce and get set up on DNAnexus and the GOLD system. Discuss ways Read More...
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Bioinformatics
Lesson 15: Finding differentially expressed genes Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 14 review In the previous lesson, we learned to visualize RNA sequencing alignment results in the Integrative Read More...
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Bioinformatics
This page contains content taken directly from the Biostar Handbook (Istvan Albert). Always remember to activate the class bioinformatics environment. conda activate bioinfo For this data analysis, we will be using: Two commercially available RNA Read More...
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Bioinformatics
This page contains content taken directly from the Biostar Handbook (Istvan Albert). Always remember to activate the class bioinformatics environment. conda activate bioinfo For this data analysis, we will be using: Two commercially available RNA Read More...
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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...
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Bioinformatics
Lesson 16: RNA sequencing review and classification based analysis Before getting started, remember to be signed on to the DNAnexus GOLD environment. Review In the previous classes, we learned about the steps involved in RNA sequencing Read More...
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Bioinformatics
Lesson 1: Introduction to Biowulf, Unix, and R Learning Objectives Learn about why you may want to use R on Biowulf. Refresh Unix and R skills. This lesson will not be hands on. Why use R 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
High resolution single cell profiling assays have provided an unprecedented view of many biological systems and processes, but the spatial context in which this biology is occurring is often crucial. Spatial profiling, including spatial transcriptomic Read More...
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Bioinformatics
Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To generate high quality data reports using R Markdown to make data analysis more reproducible. Reminder: Uploading files from RStudio Server 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...
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Bioinformatics
10/03/2016 - The maximum number of registrations (25) allowed has been reached for this workshop. You will be put on the waitlist and informed if any cancellations do occur. You are welcome to come on the morning Read More...
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Bioinformatics
09/22/2015 - Learn the basics of microarray gene expression analysis using Partek Genomics Suite and Open Source Tools. As we walk though hands-on analysis of a cancer dataset, you will learn the principles of experimental design, Read More...