Search Results for: MRI image fusion

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...

TCIA is a service which de-identifies and publishes medical images of cancer for download. New data proposals are reviewed by an Advisory Group on a quarterly basis. The data are organized as “collections”; typically, patients’ Read More...

Protein and Metabolite Characterization Core (PMCC), formerly known as the Protein Characterization Lab (PCL),  offers various technologies to CCR investigators to characterize proteins and metabolites. The core develops and applies state-of-the-art analytical technologies, primarily mass Read More...

The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation. The BDP was established in 1993. We Read More...

CREx News & Updates August 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCATS Functional Genomics Laboratory (FGL) FGL is designed to help NIH Investigators use the latest Read More...

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...

The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and Read More...

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...

The Magnetoencephalography (MEG) Core Facility specializes in MEG, a non-invasive procedure similar to electroencephalography (EEG), and aims to support research to better understand of the functioning of the brain. Established Technologies Magnetoencephalography (MEG) is a Read More...

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...

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...

Employing spatial biology techniques enables acquisition of transcript and protein data from intact tissue sections, and in turn, spatial distribution information and cellular interaction patterns are revealed.

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...

Employing spatial biology techniques enables acquisition of transcript and protein data from intact tissue sections, and in turn, spatial distribution information and cellular interaction patterns are revealed.

The FNLCR Molecular Histopathology Laboratory (MHL) provides comprehensive veterinary pathology support for animal health monitoring, biomarker discovery and validation, drug development, genomics, and proteomics on a cost recovered basis. The MHL is organized into multiple Read More...

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...

What is Visium FFPE v2 with CytAssist? Visium FFPE v2 is sequencing-based spatial profiling technology developed by 10x Genomics. This assay can take mouse or human tissue sections on normal glass slides as input and Read More...

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...

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...

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...

.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...

The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...

What is Xenium? Xenium is a high-resolution, imaging-based in situ spatial profiling technology from 10x Genomics that allows for simultaneous expression analysis of RNA targets (currently in range of 100’s) within the same tissue section. Read More...

The NCI Research Flow Facility provides cell sorting and benchtop flow cytometry services to NCI investigators. Services are program-specific and are not available to all NCI or NIH investigators. Please inquire as to availability. Established Read More...

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...

Many established and emerging technologies are available to CCR scientists.  This technology-rich environment makes the CCR a unique place to conduct scientific research.  Through the OSTR, the CCR continues to find Read More...

The Biomedical Engineering and Physical Science (BEPS) shared resource supports NIH’s intramural basic and clinical scientists on applications of engineering, physics, imaging, measurement, and analysis. BEPS is centrally located on the main NIH campus Read More...

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...

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...

The Electron Microscopy Core (EMC), formerly known as Electron Microscopy Lab (EML),  offers investigators access to unique expertise and EM technologies that allow CCR Investigators to explore new avenues of research in order to enhance Read More...

The Center for Advanced Tissue Imaging (CAT-I) is an NIAID and NCI supported effort involving collaborative studies between experts in the Laboratory of Immune System Biology, DIR, NIAID and investigators in the DIR, NIAID and Read More...

[embed]https://youtu.be/pfZp5Vgsbw0[/embed] Menarini Silicon Biosystems has combined the ability to manipulate individual cells using DEP technology with high-quality image-based cell selection to create the DEPArray™ System. This Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Cores on CREx NIBIB BEPS Micro Analytical Immunochemistry Unit The Micro Analytical Immunochemistry Unit employs a variety Read More...

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...

CCR VOLUME Electron Microscopy Core (CVEMC),  formerly known as volume Electron Microscopy (vEM), aims to develop new techniques in volume electron microscopy (vEM) and, in collaboration with CCR Investigators, apply these techniques to research cell Read More...

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...

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...

The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...

[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...

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...

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...

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...

Back Services: Biophysics Facility offers MP as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument training calendar.  Training includes mass distribution analysis of a Read More...

The Division of Veterinary Resources Animal Surgery has supported large animal research and clinical care for more than 40 years. DVR surgeons provide outstanding and highly specialized large animal (rabbits, ungulates, etc.) research support in a Read More...

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...

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...

Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the difference Read More...

Back Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the Read More...

11/01/2023 - Analysis of medical images such as MRI, CT, X-ray and ultrasound requires a comprehensive environment for data access, visualization, processing, and algorithm development. MATLAB provides tools such as Medical Imaging Toolbox and Deep Learning Read More...

05/13/2025 - In this one hour and half hour online training, attendees will apply deep learning to brain MRI images.   By the end of this training, attendees will be able to:& Read More...

07/17/2024 - In this one hour and half hour online training, attendees will apply deep learning to brain MRI images.    By the end of this training, the attendees will be able to :    Read More...

06/06/2022 - Join the June NCI Imaging and Informatics Community Webinar for a discussion on the recent contributions from Dr. Mirabela Rusu’s Personalized Integrative Medicine Laboratory (PIMed) at Stanford University. Recent laboratory contributions include: registering Read More...

04/10/2025 - This one hour online training introduces participants to the tools and techniques for analyzing and quantifying microscopy images using MATLAB’s low-code algorithms. Participants will learn how to preprocess images, segment regions Read More...

07/17/2024 - Dear Colleagues,   Please join us on Wednesday, July 17, 2024, when Dr. Olivier Gevaert from Stanford University will discuss leveraging data at different scales for personalized diagnosis, prognosis, and therapy in the fields of Read More...

04/08/2025 - Dive into the specialized use of mixed-effects models tailored to address the challenges of inter-reader variability in medical imaging studies. This presentation delves into how these models adeptly manage the random effects introduced by Read More...

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...

10/26/2023 - Additional Connection information: Meeting ID: 248 393 722 628       Passcode:  kcALva

Tidy data is an approach (or philosophy) to data organization and management. There are three rules to tidy data: (1) each variable forms its own column, (2) each observation forms a row, and (3) each value has its Read More...

Image adapted from docs.qiime2.org ( Conceptual Overview of QIIME 2 ) .

12/11/2023 - This presentation will provide a one-hour introduction to The AMARETTO software toolbox: multimodal and multiscale circuit-, network-, and graph-based fusion of multi-omics, clinical, imaging, and perturbation data across studies of patients, etiologies and model Read More...

01/13/2026 - The past decade has witnessed thriving cell atlas research activities in elucidating human cell types and their organization principles. The NIH BRAIN Initiative launched a pilot 3-year BRAIN Initiative Cell Census Consortium (BICCC) in 2014, Read More...

12/16/2025 - Abstract: Spatial transcriptomics (ST) is evolving rapidly as a pivotal technology in studying the biology of tumors and their associated tumor microenvironments (TME). However, where/how it can impact research remain unclear. In this Read More...

07/08/2025 - Join Dr . Eytan Ruppin (pre enter) and Timothy haw (moderator) a they pre ent on four approache for predicting how patient re pond to checkpoint immunotherapy. Approach #1: Predicting patient re pon e to the Read More...

03/26/2025 - Developing artificial intelligence (AI) schemes to assist the clinician towards enabling precision medicine approaches requires development of objective markers that are predictive of disease response to treatment or prognostic of longer-term patient survival. The Read More...

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...

10/29/2024 - In this presentation, you will get an overview of the Cancer Digital Slide Archive (CDSA) platform. CDSA is an open source, web-based platform for storage, visualization, and management of digitized whole slide images.& Read More...

10/10/2024 - Digital Pathology has advanced significantly in the past decade, evolving beyond assisting pathologists to now informing molecular and genetic properties of tumors. Recent breakthroughs in machine learning and AI, particularly in big data and Read More...

07/23/2024 - In this presentation, we will demonstrate how to use enterprise data science platform to configure, run, share, and scale downstream bioinformatics and image analysis pipelines using cloud and HPC resources. This session is geared Read More...

If you plan to use RStudio to interactively analyze your data, RStudio Server, a browser-based interface very similar to the standard RStudio desktop environment, is the best option to avoid issues with lag. Each RStudio Read More...

Regarding computational requirements, rule of thumb is to keep it at 8 samples or less when running on a laptop. You may be able to stretch it to 10 samples, but any more than that strains the Read More...

03/28/2024 - Join John McCulloch and colleagues from the NCI Laboratory of Integrative Cancer Immunology - Microbiome and Genetics Core (LICI-MGC)  in an introduction to JAMS , a comprehensive software package for microbial sequencing analysis (microbiomes and Read More...

03/01/2024 - Jens Rittscher is Professor of Engineering Science at the University of Oxford with his appointment held jointly between the Institute of Biomedical Engineering and the Nuffield Department of Medicine. He is a group leader Read More...

02/21/2024 - The remarkable advances of artificial intelligence (AI) technology are revolutionizing established approaches to the acquisition, interpretation, and analysis of biomedical imaging data. Development, validation, and continuous refinement of AI tools requires easy access to Read More...

Quarto is installed with the latest versions of RStudio. When rendering a Quarto document (.qmd file), the code blocks are processed using either knitr or jupyter , which is converted to markdown. That markdown is then Read More...

01/22/2024 - Dear Colleagues,    Optical Genome Maps (OGM) provide scaffolding information for large DNA molecules. In this talk, we describe the use of this technology for detecting structural variants and chaining them Read More...

Beta diversity is between sample diversity. This is useful for answering the question, how different are these microbial communities? Image modified from https://www.genome.gov/genetics-glossary/Microbiome We will look into specific metrics of Read More...

Beta diversity is between sample diversity. This is useful for answering the question, how different are these microbial communities? Image modified from https://www.genome.gov/genetics-glossary/Microbiome Beta diversity is measured using distance and Read More...

QIIME2 is a platform for the processing and analysis of microbiome sequencing data. A general amplicon workflow in QIIME2 may look like the following: Image adapted from QIIME2 documentation (Conceptual overview of QIIME2) The first Read More...

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...

The SummarizedExperiment class and the inherited class RangedSummarizedExperiment are available in the R package SummarizedExperiment . SummarizedExperiment is a matrix-like container where rows represent features of interest (e.g. genes, transcripts, exons, etc.) and columns represent Read More...

12/12/2023 - Dr. Anant Madabhushi and his team have been developing computerized knowledge alignment, representation, and fusion tools for integrating and correlating heterogeneous biological data spanning different spatial and temporal scales, modalities, and functionalities. These tools Read More...

Permissions dictate who can access your files and directories, and what actions they can perform. If you are consistently getting error messages from your command line and you're sure you are typing it correctly, Read More...

There are a number of specific solutions that have been devised to address the issues created by attempting to map mRNA to DNA genomes. Each of these has its advantages and disadvantages. Align against the Read More...

The first step in using IGV is to load our reference genome. Take some time to see if you recall how to do this. {{Sdet}} Solution{{Esum}} {{Edet}} After loading the genome, let's view Read More...

Using ls as an example, we can get an idea of the overall structure of a unix command. Image inspired by "Learn Enough Command Line to Be Dangerous" The first thing we see Read More...

Now that we have renv set up with our project, let's also establish a project structure. Let's exit R and edit our .Rprofile . Note When we ran renv::init() a local .Rprofile file Read More...

02/12/2026 - The NLM Division of Intramural Research (DIR) is pleased to welcome Tiarnán Keenan, MD, PhD, Stadtman Tenure-Track Investigator and Director of the Medical Retina Fellowship Program at the National Eye Institute Read More...

07/09/2025 - From image analy i to federated learning and multimodal modeling, generative AI can be u ed to tudy ob ervational ucce ion acro cale and data type . At DCEG' Data cience and Engineering Re Read More...

06/25/2025 - Join tony Brook Univer ity&r quo; Dr. Joel altz a he di cu e : the role of pathology artificial intelligence (AI) in the creation of pathology imaging biomarker , including tumor infiltrating lymphocyte Read More...

10/17/2024 - Please join us on Thursday for our third talk in the Biowulf 25th Anniversary Seminar Series: Explorations in use of Synthetic Images for Biomedical ML/AI Research This talk will be videocast at: https:// Read More...

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...

Much like pseudobulk differential expression, the RNA expression can be collapsed into pre-defined components, such as the clusters, if it is believed that cell-to-cell variation is inducing too much confusion in the labeling. This collapsing Read More...

05/06/2024 - Have you been looking for ways to use artificial intelligence (AI) in clinical practice but not sure where to start? Attend this webinar for tips from Dr. Anant Madabhushi on applying AI in precision Read More...

04/21/2024 - Looking for an introduction to artificial intelligence (AI) or an opportunity to expand on what you already know? Attend this workshop hosted by the NIH-funded Bridge2AI CHoRUS network and the University of Florida Read More...

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...

03/06/2024 - The NCI Cancer Diagnosis Program in the Division of Cancer Treatment and Diagnosis is hosting a workshop, “Digital Pathology Imaging (DPI) in Cancer Clinical Trials and Research.” This workshop will Read More...

Step 1: Goto https://www.globus.org to log in by clicking on the "LOG IN" icon at the top right of the pages. After logging in, select organziational affiliation, which is National Institutes Read More...

02/29/2024 - Artificial Intelligence (AI) is becoming increasingly ubiquitous in biomedical research, enabled by large datasets, new algorithms, and hardware improvements. In this session, Dr. Brian Ondov will introduce the basic principles of AI and describe Read More...

02/21/2024 - Dear colleagues, The Bioinformatics and Computational Biosciences Branch (BCBB) at NIAID invites you to join us for in-person hands-on workshops that will explore biovisualization techniques. Developers of UCSF ChimeraX and Cytoscape will be on Read More...

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...

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...

Because we are working on DNAnexus, and our files will not remain at the end of each class, we aren't going to use a R project for all lessons. However, it is worth creating Read More...

01/19/2024 - Trey Ideker, Ph.D., is a professor of medicine, bioengineering, and computer science, and former chief of genetics at the University of California San Diego (UCSD). Additionally, he is director or co-director of the Read More...

The QIIME2 platform can be used for different types of -omics data. For this course, we will be focusing on targeted amplicon sequencing of the 16S rRNA gene. The 16S rRNA gene (~1500 bp) codes for Read More...

An OTU is an operational taxonomic unit. This is derived by binning sequences at a certain threshold of similarity. This threshold is generally set at 97%, which is associated with a species level assignment. Clustering can Read More...

In addition to clasifying our organisms, we also want to reconstruct their phylogenetic relationships by generating a phylogenetic tree. We often assume that phylogenetic closeness can elucidate commonalities in phenotypic properties / functions, so it is Read More...

Alpha diversity is within sample diversity. When exploring alpha diversity, we are interested in the distribution of microbes within a sample or metadata category. This distribution not only includes the number of different organisms (richness) Read More...

S4 objects store complex information that isn't necessarily simple to save. If you intend to work with the object further, try using saveRDS . saveRDS(se, "airways.rds") #save the object Note saveRDS() Read More...

10/13/2023 - Zhiyong Lu, Ph.D. will present AI in Medicine: Improving Access to Literature Data for Knowledge Discovery at the monthly Data Sharing and Reuse Seminar.  The explosion of biomedical big data and Read More...

09/06/2023 - With the advancements in single cell and spatial profiling technologies and methods, some of us thought it would be helpful to re-establish a community of end users on campus. We invite those that are Read More...

Many of the tools used to understand functional enrichment will use sets of GO terms, examining GO enrichment. What do we mean by GO? The Gene Ontology (GO) provides a framework and set of concepts Read More...

“Gene set enrichment analysis” refers to the process of discovering the common characteristics potentially present in a list of genes. When these characteristics are GO terms, the process is called “functional enrichment.” Warning Overall GO Read More...

“Gene set enrichment analysis” refers to the process of discovering the common characteristics potentially present in a list of genes. When these characteristics are GO terms, the process is called “functional enrichment.” Warning Overall GO Read More...

We see that we are in our home directory. But where is that exactly? The file system on any computer is hierarchical, with the top level of the file system, or root directory, being / . See Read More...

Alignment RNASeq Mapping Challenges The majority of mRNA derived from eukaryotes is the result of splicing together discontinuous exons, and this creates specific challenges for the alignment of RNASEQ data. Mapping Challenges Reads not perfect Read More...

This archive contains past and present issues of the  BTEP BioInformatics Bulletin. The BTEP Bioinformatics Bulletin features select upcoming bioinformatics events offered across NIH and is distributed monthly via email to the Center Read More...

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...

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...

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...

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...

This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. Read More...

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...

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...

As you can see from the image, there are several accessor functions to access the data from the object: assays() - access matrix-like experimental data (e.g., count data). Rows are genomic features (e.g., Read More...

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...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To better understand S4 objects as they relate to the Bioconductor core infrastructure. To learn more about a popular Bioconductor S4 Read More...

Lesson 6 . Learning Objectives Introduce several beta diversity metrics Discover different ordination methods Learn about statistical methods that are applicable Beta diversity Beta diversity is between sample diversity. This is useful for answering the question, how Read More...

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...

Lesson 4: Feature table filtering, taxonomic classification, and phylogeny Learning objectives learn how to apply different types of filtering to your ASV table and representative sequence data. classify your ASVs. Generate a phylogenetic tree. Now that Read More...

Lesson 3: Creating a feature table Lesson Objectives Check for primers Generate an ASV count table and representative sequence file Understand the difference between OTU picking and denoising The two primary files that will be used Read More...

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...

This page contains content taken directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment. conda activate bioinfo We will be analyzing differential expression of genes on Chr22 from the Read More...

This page contains content taken directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment. conda activate bioinfo We will be analyzing differential expression of genes on Chr22 from the Read More...

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...

Lesson 2: Navigating file systems with Unix Quick review Unix is an operating system We use a unix shell (typically bash) to run many bioinformatics programs We need to learn unix to use non-GUI based tools Read More...

We previously stored FASTQC results for the HBR and UHR raw sequencing data in the ~/biostar_class/hbr_uhr/QC directory (recall that ~ denotes home directory). So before getting started, change into this folder. cd ~/ Read More...

Lesson 9 Practice Objectives In this practice session, we will apply our knowledge to learn about the reference genome and annotation file for the Golden Snidget dataset visualize the Golden Snidget genome using the Integrative Genome Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinfo environment. conda activate bioinfo Then create a new directory for files we will be working with today in Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

“Gene set enrichment analysis” refers to the process of discovering the common characteristics potentially present in a list of genes. When these characteristics are GO terms, the process is called “functional enrichment.” Warning Overall GO Read More...

Gene ontology and pathway analysis Objectives Determine potential next steps following differential expression analysis. Tour geneontology.org and understand the three main ontologies. Learn about different methods and tools related to functional enrichment and pathway Read More...

In lesson 9, we learned that reference genomes came in the form of FASTA files, which essentially store nucleotide sequences. In this lesson, we will learn about the FASTQ file, which is the file format that Read More...

Lesson 10: Introducing the FASTQ file and assessing sequencing data quality Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 9 Review In the previous lesson, we explored the reference genomes and Read More...

Lesson 11: Merging FASTQ quality reports and data cleanup Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 10 Review In the previous lesson, we learned about the structure of the FASTQ Read More...

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...