Search Results for: Expression Level

Below we generate a basic heatmap using the pheatmap package. We use the pheatmap command and include the data that we want to construct a heatmap of as the argument. In the heatmap below, we Read More...

Use Partek Quantification to Model (E/M) algorithm since a gtf annotation is available Uses statistics to assign expression to multi-mappers rather than discarding them Output includes gene and transcript level expression quantifications Summary table Read More...

Gene expression table can be generated from the read alignment. Options for generating an expression table. Because there a GTF annotation file is avaialable, this exercise will use the Quantify to annotation model (Partek E/ 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...

Below we generate the basic heatmap using the pheatmap package. It is simple, just use the pheatmap command and include the data that we want to construct a heatmap of as the argument. In the Read More...

Research Mission The goal of OMAL’s research is to understand molecular mechanisms driving carcinogenesis and the reversal of this process through treatment, by utilization and advancement of optical microscopy techniques. These techniques include multiplex 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...

After this lesson, participants will be able to: Describe on a high level how RNA sequencing data is modeled. Understand the importance of normalization in differential expression analysis. Interpret differential expression analysis results.

Jupyter Notebook utilizes markdown for text editing. "Markdown is is a lightweight markup language for creating formatted text using a" -- https://en.wikipedia.org/wiki/Markdown We can use different size headings Read More...

Single cell RNASeq is a remarkably powerful tool for analyzing populations of cells that can be recovered from various experiments. Clustering and cell type annotation can be used to distinguish different populations with a level Read More...

In addition to the Heatmap and the FeaturePlot shown previously, two other options easily accessible through Seurat are the Dot Plot and Violin Plot. The dot plot can visualize relative expression level and expression fraction. Read More...

02/01/2024 - Please plan to attend this seminar on Zoom tomorrow. The meeting is sponsored by the NIH Virology Interest Group, but Dr. Parker is using some exciting tools to examine gene expression at the subcellular Read More...

01/25/2023 - These virtual monthly seminars showcase a novel technology being supported through NCI that could transform cancer research and clinical care. During the January seminar, Dr. Jenny Jiang will discuss a newly developed technology to Read More...

04/20/2022 - Qiagen IPA Land Explorer links out to the OmicSoft “Land” collections of disease-relevant datasets (>500,000 samples) directly from within IPA to: Explore sample-level data expression, variation, fusions, and more from 500,000+ datasets Explore full Read More...

05/19/2021 - Register Description: IPA’s Analysis Match Explorer was launched in March 2020 and this upgrade is being evaluated for purchase by NCI. NCI scientists will have no-charge access to Analysis Match Explorer for a limited Read More...

02/27/2020 - In this symposium, distinguished scientists will share recent successes in their research to visualize RNA targets at the single molecule level with single cell resolution and morphological context. Here are some of the exciting Read More...

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...

What does the package salmon do? {{Sdet}}{{Ssum}}Solution{{Esum}} module whatis salmon salmon/1.10.1 : Estimating transcript-level expression from RNA-seq with quasi-mapping salmon/1.10.1 : URL => http://combine-lab.github.io/salmon {{Edet}}

RSEM IsoformSwitchAnalyzeR DEXSeq These tools serve different purposes within the RNA-Seq analysis workflow. rMATS (that would be discussed today) is tailored for identifying differential alternative splicing events, IsoformSwitchAnalyzeR focuses on isoform-level differential expression, and DEXseq Read More...

Remove technical variants while keep biological differences Will use median ratio for DESeq2, this removes variations from Differing sequencing depth per sample Variations in RNA composition between biological conditions Post normalization report shows distribution table Read More...

https://bioconductor.org/packages/release/bioc/html/DEXSeq.html These tools serve different purposes within the RNA-Seq analysis workflow. rMATS (that would be discussed today) is tailored for identifying differential alternative splicing events, IsoformSwitchAnalyzeR focuses Read More...

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...

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.

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.

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...

Techniques The Laboratory of Cancer Biology and Genetics Microscopy Core houses multiple systems that can be used to analyze cell structure, protein expression, and cell dynamics using immunofluorescence. These include inverted epifluorescence microscopes, a confocal Read More...

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

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...

03/20/2025 - Please note: Registration is required to get the Meeting Link for this event. Please pre-register. BTEP and the Single Cell and Spatial Transcriptomics Interest Group jointly present: Quantifying spatiotemporal dynamics during embryogenesis is crucial Read More...

02/18/2025 - This class will introduce basic experimental and analytical considerations for bulk RNA sequencing, a technique that is used to profile gene expression at the tissue level. Information taught serves as the foundation for participants 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...

Transformed data will be available in the SCT assay, which is set as the default after running sctransform. During normalization, we can also remove confounding sources of variation, for example, mitochondrial mapping percentage The glmGamPoi Read More...

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...

09/13/2023 - FORGEdb is a web-based tool that can rapidly integrate data for individual genetic variants, providing information on associated regulatory elements, transcription factor (TF) binding sites and target genes for over 37 million variants.   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...

Let's now take a look at our final differential analysis results table (results_with_gene_names_labeled.txt), using the SLC2A11 gene as an example and below we use the column command to Read More...

08/10/2022 - For our next CDSL webinar we will have two fellows’ talks from Dr. Zisha Zhong and Arati Rajeevan . Zisha’s talk details: Title:  Multi-task Feature Learning to train Interpretable Encoders on Histopathology Images Digital Read More...

01/07/2022 - Environmental exposures such as smoking are widely recognized risk factors in the emergence of lung diseases including lung cancer and acute respiratory distress syndrome (ARDS). However, the strength of environmental exposures is difficult to Read More...

10/12/2021 - Speaker :  Tali Mazor, Ph.D., Scientist, Knowledge Systems Group, Dana-Farber Cancer Institute Tali Mazor, Ph.D., of the Dana-Farber Cancer Institute will discuss the functions and features of the cBioPortal for Cancer Genomics. This Read More...

06/15/2021 - This is the last course in a series of three, designed to answer the question: “I’ve just got my sequence data back from the sequencing center, how do I understand/analyze/work with Read More...

05/13/2021 - Meeting Link The slides and recording of the webinar will be available within a day of the event. Heterogeneity poses a major challenge in translational research. For example, inter-tumor heterogeneity limits the biomarker discovery Read More...

01/28/2021 - Meeting Link The session recording and slides will be available after the webinar. Single-cell RNA-Seq (scRNA-seq) is the most widely used high-throughput technology to measure genome-wide gene expression at the single-cell level. However, single-cell Read More...

05/21/2020 - Students will learn how to identify cell populations and detect differentially expressed genes in a simple Single Cell RNA-Seq experiment with the point-and-click interface in Partek Flow. For example: import data; filter cells using Read More...

03/25/2020 - THIS EVENT HAS BEEN CANCELLED Single-cell RNA sequencing (scRNA-Seq) is a rapidly evolving method in the field of single-cell genomics which has enhanced our ability to study biological processes at the cellular level. The Read More...

03/17/2020 - THIS EVENT HAS BEEN CANCELLED Single-cell RNA sequencing (scRNA-Seq) is a rapidly evolving method in the field of single-cell genomics which has enhanced our ability to study biological processes at the cellular level. The Read More...

02/26/2020 - Single-cell RNA sequencing (scRNA-Seq) is a rapidly evolving method in the field of single-cell genomics which has enhanced our ability to study biological processes at the cellular level. The CCR Collaborative Bioinformatics Resource (CCBR) Read More...

02/18/2020 - Single-cell RNA sequencing (scRNA-Seq) is a rapidly evolving method in the field of single-cell genomics which has enhanced our ability to study biological processes at the cellular level. The CCR Collaborative Bioinformatics Resource (CCBR) Read More...

01/29/2020 - Single-cell RNA sequencing (scRNA-Seq) is a rapidly evolving method in the field of single-cell genomics which has enhanced our ability to study biological processes at the cellular level. The CCR Collaborative Bioinformatics Resource (CCBR) Read More...

09/19/2018 - TOPIC: Single Cell RNA-Seq Data Analysis in Partek Flow Partek (partek.com) Flow software provides a point-and-click interface for analysis of next -gen sequencing data. Users can customize analysis pathways for sequence alignment, differential Read More...

What is in the 22.gtf file? A gtf file is known as Genome Transfer File, which is essentially a tab delimited file (ie. columns in the file are separated by tab). It informs us of Read More...

QIAGEN CLC Workbench is a user-friendly solution for DNA, RNA and protein data sequence analysis. It houses tools for molecular biology and next generation sequencing (NGS) data analysis. QIAGEN CLC Genomics Workbench The CLC Genomics Read More...

07/31/2025 - NIDDK Bio tat eminar erie : From Re earch tudy De ign to Collecting, Managing, and Analyzing Data. Learning Objective : Be able to identify, load, and u e R re ource /package ba ed upon Read More...

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Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) Read More...

The Genomics Laboratory (formerly Laboratory of Molecular Technology) is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, together with associated laboratory automation systems, data analysis, and information management Read More...

The Genomics Technology Laboratory is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, data analysis, and information management tools, in support of CCR Investigators. The laboratory develops integrated Read More...

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...

CREx News & Updates July 2021   Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Learn more about services from the NHLBI 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...

The Flow Cytometry Core (LGI) offers established technologies to support studies using flow cytometry and cell sorting. Established Technologies Applications that run on FACS Caliburs include: Immunophenotyping (up to 4-color), Intracellular markers, including cytokines and Read More...

Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...

The Bloomington Drosophila Stock Center (BDSC) collects, maintains, and distributes genetically defined strains of Drosophila melanogaster for research and education. The BDSC supports a large, worldwide community of scientists using Drosophila as a model organism Read More...

[embed]https://youtu.be/yTl1Q0D7aZ0[/embed] 10x Genomics' supports multiple cancer research areas from single nucleotide and structural variant detection to single cell whole transcriptome gene expression analysis of thousands of individual Read More...

The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery Read More...

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...

Our Team Tatiana S. Karpova Ph.D.Core Headkarpovat@nih.govBuilding 41, Room C615240-760-6637 David A. Ball Ph.D.Core Biologistballa@nih.govBuilding 41, Room B114D240-760-6577 Mohamadreza Fazel, Ph.D.Core Biologistmohamadreza. Read More...

Software LAS Leica Application Suite X (LAS X) is the one software platform for all Leica microscopes: It integrates confocal, wide field, stereo, super-resolution, and light-sheet instruments from Leica Microsystems. MetaMorph The MetaMorph® Microscopy Automation Read More...

2025 Sebastian R, Sun EG, Fedkenheuer M, Fu H, Jung S, Thakur BL, Redon CE, Pegoraro G, Tran AD, Gross JM, Mosavarpour S, Kusi NA, Ray A, Dhall A, Pongor LS, Casellas R, Aladjem MI. Mechanism Read More...

Most BTEP courses include detailed course materials including lesson content, additional resources, and lesson associated data. These course materials are listed here so that learners can easily return to and review concepts taught in class Read More...

Register now for an upcoming seminar on January 22, 2025 , “Revealing Tumor-Promoting Signals in Breast Cancer Subtypes: A NIDAP Analysis of Single-Cell Data” . This one-hour talk will feature guest speaker and NIDAP developer, Josh Meyer, who will 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...

To explore tidyverse functionality, let's read in some data and take a look. #let's use our differential expression results dexp "ENSG00000000003", "ENSG00000000419", "ENSG00000000457", "E… $ albut untrt, Read More...

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...

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...

Note that we now have differential expression by transcripts and our first column contains the transcript IDs. But what genes do these transcripts map to? We will need to do some data wrangling to find Read More...

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...

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...

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...

Managing Bioinformatics Projects with Jupyter Lab Learning Objectives After this class, participants will have obtained the foundation needed to start using Jupyter Lab as an all-in-one place to maintain code, output, and other description of Read More...

10/05/2022 - For our next CDSL webinar we will have presentations by two CDSL fellows:  Ekaterina Kazantseva  and Sanna Madan.  Ekaterina is a master’s student in Dr. Mikhail Kolmogorov's group and the title of Read More...

09/27/2022 - Course Objectives: This 12-week long course is for scientists wanting to learn basic bioinformatics skills. Material will be taught at a beginner to intermediate level. There are no pre-requisites. Learners will: Learn Unix skills Read More...

12/07/2020 - Register Meeting ID: 918 4307 1125 One tap mobile +13017158592,,91843071125# US (Washington D.C) +19294362866,,91843071125# US (New York) Dial by your location +1 301 715 8592 US (Washington D.C) +1 929 436 2866 US (New York) +1 312 626 6799 US (Chicago) +1 346 248 7799 US (Houston) +1 669 900 6833 US (San Jose) +1 253 215 8782 US (Tacoma) Meeting Read More...

08/17/2020 - Speaker: Dr. Mary Carrington The exceptional influence of HLA and related genes located in the MHC on human disease relative to that of variation in the rest of the genome has now been clearly Read More...

10/23/2019 - Please note class will start at 1:30 PM and end at 3:30 PM.  Hands On Training on Single Cell RNA-Seq Data Analysis in Partek Flow Please bring your own computer for this hands-on training. If you Read More...

08/28/2019 - Here is the handout used for todays Single Cell RNA Seq analysis class: PartekFlowSingleCellRNA-SeqTrainingHandout_August2019 Attention: This class is limited to 28 people due to the size of the room. There is another Single Cell Read More...

11/05/2018 - RNA-seq, expression microarrays, and other omics profiling platforms are powerful tools for discovery, and analytical pipelines often return large numbers of significant genes or other markers.  This presents a challenge when trying to understand Read More...

03/20/2017 - BTEP Workshop on RNA-Seq Data Analysis (2-day) This 2-day workshop, which includes both lecture and hands-on components, will cover the fundamentals of and best practices for RNA-Seq Data Analysis. Learn everything from experimental design Read More...

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...

09/01/2016 - This 2-day workshop, including a BYOD (Bring Your Own Data) exercise, will provide an introduction and hands-on training for Cytoscape, which is an open source software platform for visualizing  networks and integrating these networks Read More...

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...

09/29/2014 - PLEASE NOTE:  This 2 day workshop is  a  BYOC  ( Bring your own LapTop Computer ) class. In order to provide more flexibility with room scheduling we are experimenting with a new format that involves students brining Read More...

10/03/2013 - Due to the recent Government Furlough this talk had been POSTPONED and wil be rescheduled at a later date. This 2-day course, which includes both lecture and hands - on components,  will teach the Read More...

After mapping, the next step is to perform post-alignment QC to determine things like overall alignment rate (ie. how many sequences aligned to the reference). To do this, select the "Aligned" reads data Read More...

BAM Slicing Download Slice individual BAM files based on the variant, gene, position, or SNPs for individual cases/entities Download unmapped reads from a BAM file Clinical Data Analysis Visualize clinical data with histograms, survival Read More...

There are many databases devoted to relating genes and gene products to pathways, processes, and other phenomenon. Again, the following is not meant to be a comprehensive list. Kyoto Encyclopedia of Genes and Genomes (KEGG) Read More...

There are a number of core facilities available to NCI researchers. See more information from the Office of Science and Technology Resources. We most commonly see data from the following cores: CCR Sequencing Facility (CCR-SF) 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...

08/07/2025 - Thi one-hour online training will provide a high-level overview of Python coding concept , a well a ome of the integrative development environment (IDE ,&nb p; uch a Jupyter notebook ) u ed for Python 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...

The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at Read More...

The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...

The CLIA Molecular Diagnostics Laboratory (CMDL) provides an array of services for groups at the NIH Clinical Center, Fort Detrick, and Hood College, among others. They support cancer- and disease-related research by making Read More...

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...

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...

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...

The National Cancer Institute (NCI) is developing a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), patient-derived organoids (PDOrg), and in vitro patient-derived tumor cell cultures (PDCs) and cancer-associated fibroblasts (CAFs). These Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx Interested in imaging large scale biological samples?  Volume electron microscopy allows for Read More...

The AgingResearchBiobank was officially launched in January 2019 with a mission to provide a state-of-the-art inventory system for the storage, maintenance, and distribution of de-identified biospecimens and associated phenotypic, clinical, and imaging data from numerous NIA-funded Read More...

The Central Repository provides the research community at the NCI with various cryogenic services, including low-temperature storage from +4° C to -196° C, controlled-rate freezing, computerized inventory and distribution of samples. The Central Repository is operated Read More...

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...

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. If you haven’t Read More...

Supplemental Technology Award Review System (STARS) Overview STARS Request Form STARS System The Supplemental Technology Award Review System (STARS) is a web-based interface for submission and review of S&S supplement requests by CCR Read More...

CREx News & Updates October 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CPTR 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...

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...

Back Services: Biophysics Facility offers fluorometers as open-access instruments.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3226 Description: Some substances reemit light after Read More...

NISC’s role within NHGRI, and more broadly across NIH, aims to advance genome sequencing and its many applications, with a goal not simply to produce sequence data, but to produce the infrastructure required to Read More...

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...

Protein Characterization Laboratory (PCL) offers various technologies to CCR investigators to characterize proteins and metabolites. The laboratory develops and applies state-of-the-art analytical technologies, primarily mass spectrometry, liquid chromatography, and Surface Plasmon Resonance (SPR), to advance Read More...

Back Services: Biophysics Facility offers MDS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes the KD determination of a standard molecular 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...

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...

The Pan-Microbial Serology Facility (PMSF) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The PMSF focuses on determining individualized pan-microbial immune profiles associated with human diseases including immunological 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...

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...

[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...

2016-2024 Publications using images obtained in OMC

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

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

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...

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...

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...

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...

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...

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...

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...

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...

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...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn to construct cluster heatmap using the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify Read More...

Scatter plots and plot customization Objectives Learn to customize your ggplot with labels, axes, text annotations, and themes. Learn how to make and modify scatter plots to make fairly different overall plot representations. Load a Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn how to work with the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify to Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn to construct cluster heatmap using the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify Read More...

While bracket notation is useful, it is not always the most readable or easy to employ, especially for beginners. This is where dplyr comes in. The dplyr package in the tidyverse world simplifies data wrangling Read More...

Data frames Objectives To be able to load, explore, and access data in a tabular format. To this end, students should understand the following: 1. how to import and export data 2. how to create, summarize, and Read More...

Introduction to Data Wrangling with the Tidyverse Objectives Wrangle data using tidyverse functionality (i.e., dplyr ). To this end, you should understand: 1. how to use common dplyr functions (e.g., select() , group_by() , arrange() , mutate() , Read More...

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