Search Results for: custom synthesis

The Medicinal Chemistry Accelerator (MCA) is a collaborative CCR resource that supports investigators in developing small molecule inhibitors for anticancer drug candidates. While CCR and NCATS have infrastructure to identify initial “hits” through high-throughput screening, Read More...

Total end-to-end system for single-cell research [embed]https://youtu.be/vMzhSzg1rUw[/embed] The BD Rhapsody Single-Cell Analysis system empowers and streamlines your research with a complete system of tools, including reagents and analysis software, 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...

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...

The NCI Clinical Research Correlatives Core provides non-CLIA-certified spectral flow cytometric assays to support clinical trials conducted in the CCR. The core specializes in immunophenotyping and immune monitoring assays. Established Technologies Spectral flow cytometry (Cytek), Read More...

The CHTN is a unique NCI-supported resource that provides human tissues and fluids from routine procedures to investigators who utilize human biospecimens in their research. Unlike tissue banks, the CHTN works prospectively with each investigator 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...

MAB provides visual communication solutions across all media to the entire NIH community. Our Medical Illustration section provides a complete range of biomedical visualization services, including manuscript/textbook figures, infographics, 3D modeling, animation, technical diagrams, Read More...

The National Clinical Trials Network Biospecimen Banks (NCTN) receive, store, and distribute human cancer biospecimens collected on NCTN clinical trials . NCTN Biobanks provide cancer researchers with quality, well-annotated biospecimens and associated clinical information. The NCTN Read More...

October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

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...

Molecular Cytogenetics Core Facility facilitates the assessment of structural and numerical genomic changes in pre-cancer and cancer research models. This core provides comprehensive support for the cytogenetic analysis of cells from human and research animal Read More...

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...

The Frederick Sequencing and Genomics Core (FSGC) was established through the integration and consolidation of the former Sequencing Facility (SF) and the Genomics Technology Laboratory (GTL). The new FSGC eliminates redundancy and provides cutting edge 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...

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...

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...

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 NCI Cloud Resources are components of the NCI Cancer Research Data Commons (CRDC) that bring data and computational power together to enable cancer research and discovery. These cloud-based platforms eliminate the need for researchers Read More...

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 Antibody Characterization Laboratory (ACL) is the laboratory responsible for the development of well-characterized monoclonal antibody reagents. The NCI’s Office of Cancer Clinical Proteomics Research funds ACL as a resource to the entire cancer Read More...

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...

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...

Back Services: Biophysics Facility offers DLS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes DLS analysis of small- and large-molecular size 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...

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...

Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols.  This service is intended for the occasional users of this system.  Researchers who expect to use this instrument Read More...

Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols.  This service is intended for the occasional users of this system.  Researchers who expect to use this instrument Read More...

Another way to run BLAST is to create your own custom database, and search against it with query sequences. Usually you will not have to create your own blast database, you can download prebuilt databases Read More...

04/25/2023 - Register by April 10, 2023. This workshop is for biological researchers who would like to incorporate NCBI command-line clients into their workflows to access and process NCBI molecular data and metadata. In this workshop you will Read More...

01/15/2026 - Gil Kanfer, PhD, of the NCI CCR High-Throughput Imaging Facility (HiTIF), in the Laboratory of Receptor Biology and Gene Expression (LRBGE) , will present the spatial biology analysis stack HiTIF is building to support Center Read More...

11/19/2024 - This one hour and a half online training in the NIH Library Evidence Synthesis Review series provides an overview of the data collection process for your review. The training will cover how to clean Read More...

11/14/2024 - The accessibility of artificial intelligence/machine learning (AI/ML) tools has taken off in recent years. This democratization of advanced analytics has the potential to revolutionize predictive toxicology, especially for applications that generate massive, Read More...

03/20/2024 - Meeting number (access code): 2303 344 1474 Meeting password: 2K9AfEmfN@2

#Setting a theme my_theme

We will build a database out of all features of the 2014 Ebola genome under accession number KM233118. This data will go into a new directory named "db_2014". mkdir -p db_2014 # Get the 2014 Ebola 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...

Use # to specify heading level # Heading level 1 (largest) ## Heading level 2 (second largest) ### Heading level 3 (third largest) ...

#Plot ggplot(pcaData) + aes(PC1, PC2, color = Species, shape = Species) + geom_point(size = 2) + coord_fixed() + xlab("PC1: 73%")+ #x axis label text ylab("PC2: 23%") # y axis label text Automating % Variance in axis Read More...

10/13/2021 -

#Plot ggplot(pcaData, aes(PC1, PC2, color = Treatment, shape = Cell)) + geom_point(size = 2) + coord_fixed() + xlab("PC1: 41%")+ #x axis label text ylab("PC2: 24%") # y axis label text Automating the "Proportion Read More...

#Setting a theme my_theme <- theme_bw() + theme( #Remove the border around the plot panel.border = element_blank(), # Add the axis lines back in axis.line = element_line(), #resize the major and Read More...

::: {.cell} #Setting a theme my_theme <- theme_bw() + theme( panel.border = element_blank(), axis.line = element_line(), panel.grid.major = element_line(size = 0.2), panel.grid.minor = element_line(size = 0.1), text = element_text( Read More...

Use # to specify heading levels # Heading level 1 (largest) ## Heading level 2 (second largest) ### Heading level 3 (third largest) ...

Use # to specify heading levels # Heading level 1 (largest) ## Heading level 2 (second largest) ### Heading level 3 (third largest) ...

By far the most popular platforms for RNASEQ experiments are the Illumina family of sequencers. All are Sequencing by Synthesis (SbS) and produce Short read lengths (50 to 300 bp). Consult with the Sequencing Core as to Read More...

01/09/2025 - Alzheimer’s Disease (AD) presents significant challenges in prevention and treatment despite decades of research advancements. Innovative AI/ML approaches enable analysis of real-world data sources, such as electronic health records (EHRs) 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...

Understand how R can be deployed on Biowulf Understand how to access and use R modules Learn to create a custom R library on Biowulf

In Lesson 2, partipants will learn about ways to use R on Biowulf. The focus will be on interactively working with R on Biowulf. Two different ways of accessing RStudio will be demonstrated. In addition, there Read More...

07/13/2023 - In Lesson 2 of Toward Reproducibility with R on Biowulf , partipants will learn about ways to use R on Biowulf. The focus will be on interactively working with R on Biowulf. Two different ways of Read More...

The plot above is looking pretty good, but there are many more features that can be customized to make this publishable or fit a desired style. Changing non-data elements (related to axes, titles subtitles, gridlines, Read More...

12/07/2021 - This introductory course teaches the basics of deep learning and of different types of deep learning networks through a set of hands-on biological examples implemented in Keras, one example per class: Class #4 will focus Read More...

03/12/2020 - https://hpc.nih.gov/training/handouts/DL_by_Example4_20200312.pdf https://hpc.nih.gov/apps/biogans.html https://hpc.nih.gov/training/handouts/DL_Assignments4_20200312.pdf This introductory course will teach the basics of Read More...

01/22/2025 - Alzheimer’s Disease (AD) presents significant challenges in prevention and treatment despite decades of research advancements. Innovative AI/ML approaches enable analysis of real-world data sources, such as electronic health records (EHRs) Read More...

04/22/2024 - Intended Audience This webinar targets researchers interested in exploring genomic mutation analysis capabilities within the recently introduced NCI Genomic Data Commons (GDC) 2.0 platform. It aims to accommodate individuals interested in analyzing genes and mutations Read More...

PCoA was included by default in our core-metrics-phylogenetic pipeline. Because these are longitudinal data, we will customize the axis to include the varaible, week-relative-to-hct . qiime emperor plot \ --i-pcoa diversity-core-metrics-phylogenetic/unweighted_unifrac_pcoa_results.qza \ --m-metadata-file / Read More...

First, we perform the ordination. qiime diversity umap \ --i-distance-matrix diversity-core-metrics-phylogenetic/unweighted_unifrac_distance_matrix.qza \ --o-umap uu-umap.qza qiime diversity umap \ --i-distance-matrix diversity-core-metrics-phylogenetic/weighted_unifrac_distance_matrix.qza \ --o-umap wu-umap.qza Then we use emperor Read More...

Generating the Data General Rules for Sample Preparation Ignoring these simple guidelines will greatly increase the chances that your data will be unanalysable and/or your experiment unpublishable. Prepare all samples at the same time Read More...

For blastn, the tasks available are: blastn - finds more divergent sequences megablast - finds less divergent sequences (this is the default) blastn-short - short queries We will look at how the different BLAST tasks Read More...

DAVID compares the overlap of user provided gene list to an annotation to the overlap of a background gene list to the same annotation. Thus, DAVID is really using the Fisher exact test to determine Read More...

DAVID compares the overlap of user provided gene list to an annotation to the overlap of a background gene list to the same annotation. Thus, DAVID is using the Fisher exact test to determine if Read More...

To plot the first two axes of variation along with species information, we will need to make a data frame with this information. The axes are in pca$x . #Build a data frame pcaData

02/23/2023 - In this session we will go over a visual, dynamic, and interactive way to work with OMICs data using public leukemia GEO gene expression data sets. We will approach the data with confirmatory and Read More...

09/29/2022 - The size and complexity of data necessary to derive meaningful scientific and clinical insights are advancing at an unprecedented rate.  At the core of this complexity is an ever-expanding array of technologies, instrumentation, and Read More...

10/15/2021 - This course will introduce you to Google Cloud's big data and machine learning functions. You'll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities. Read More...

09/14/2021 - OpenCRAVAT is an open source variant annotation and decision support software to support cancer variant and gene prioritization. It offers both command line functionality and a dynamic biologist-friendly GUI, allowing users to install with Read More...

03/30/2021 - Register Presenter: Yana Stackpole, PhD (Qlucore Training and Support) Description: In this session we will go over a visual, dynamic and interactive way to work with OMICs data using public leukemia GEO gene expression Read More...

02/15/2017 - nSolver™ Analysis Software is a free analysis platform for storage, custom QC, and custom normalization of nCounter data. Generate highly-customized exports, basic statistical outputs, and publication-quality figures quickly and easily with the included tools. Read More...

03/12/2013 - Using pathway analysis in MetaCore/GeneGO to evaluate glioma subtypes from public gene expression data  MetaCore from GeneGo is an integrated software suite for functional analysis of microarray, metabolic, SAGE, proteomics, siRNA, microRNA, and Read More...

This lesson will provide participants with enough knowledge to start using Python for data visualization. Specifically, participants should Be able to use the package Seaborn to Construct plots that range from very basic to elegant Read More...

This lesson will provide participants with enough knowledge to start using Python for data visualization. Specifically, participants should Be able to use the package Seaborn to Construct plots that range from very basic to elegant Read More...

To create a publication quality plot, you will need to make several modifications to your basic PCA biplot code. We have already seen how to modify the default coordinate system, how to add additional statistics ( Read More...

To plot the first two axes of variation along with species information, we will need to make a data frame with this information. The axes are in pca$x. #Build a data frame pcaData & Read More...

Long read sequencing was recently named 2022’s method of the year by Nature Methods . Long read sequencing technologies, those that generate sequence reads with lengths of 10s of kilobases or longer have several advantages over Read More...

12/05/2024 - This one and a half hour online training will provide a demonstration of how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be Read More...

12/03/2024 - This one and a half hour online training  will provide a demonstration of how to build a Bulk RNA-Seq data analysis pipeline using a fastq file. Partek  Flow   Read More...

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...

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...

03/05/2024 - This in-person workshop will show participants how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be used to illustrate a basic Single Cell Read More...

Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...

How do we ultimately get our figures to a publishable state? The bread and butter of pretty plots really falls to the additional non-data layers of our ggplot2 code. These layers will include code to Read More...

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 throughout any microbiome analysis are the feature 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...

12/06/2023 - NIDAP, the NIH Integrated Data Analysis Platform, is a cloud-based and collaborative data aggregation and analysis platform. The NIDAP platform hosts user-friendly bioinformatics workflows (Bulk RNA-Seq, scRNA-Seq, Digital Spatial Profiling) and other component analysis Read More...

11/16/2023 - This class will provide a demonstration of how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be used to illustrate a basic Single Read More...

09/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

08/15/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

Course Overview Welcome to Toward Reproducibility with R on Biowulf This course includes a series of four lessons designed for beginner to intermediate R users interested in working with R on Biowulf. The purpose of Read More...

07/20/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

06/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

How do we ultimately get our figures to a publishable state? The bread and butter of pretty plots really falls to the additional non-data layers of our ggplot2 code. These layers will include code to Read More...

Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...

06/30/2021 - Registration is required to join this event. If you have not registered, please do so now. Register Speaker: Uchenna Emechebe, Ph.D., Field Application Scientist, Partek Incorporated. Partek® Flow® bioinformatics software which is available Read More...

11/13/2020 - https://ncihub.org/resources/2404 Abstract: In many applications in genomics, large data sets are created and lightly used before being shared with other researchers (ideally) or simply tossed away on hard drives. The Cancer Read More...

02/27/2020 - The Annotation, Visualization and Impact Analysis (AVIA) is an application developed to guide, prioritize and summarize genomic variants. AVIA maintains and aggregates dozens of publicly available variant annotation databases and predictions from impact analysis Read More...

11/04/2019 - This is a hands-on demo, please bring your laptop or let us know if you need to borrow one.  The field of genomics has matured to a stage where organizations are sequencing DNA at Read More...

11/13/2017 - MetaCore™ is an integrated curated knowledge database and software suite for pathway analysis of experimental data and gene lists. The scope of data types includes microarray and sequence-based gene expression, SNPs and CGH arrays, Read More...

02/09/2016 - BTEP Workshop on Pathway Analysis with MetaCore NOTE: This is a Bring Your Own Computer (BYOC) class, and will be simultaneously shared via GoToMeeting with attendees at the Advanced Technology Research Facility (ATRF) in Read More...

12/17/2014 - Day 1 - AM (9:30 AM – 12:30 PM)  Ingenuity IPA -   Basic Training  ( Kate Wendelsdorf, Ph.D. -  Ingenuity Pathway Analysis)   Ingenuity IPA® is the industry leading software solution to model, analyze, and understand complex biological and 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...

QIAGEN CLC Genomics Workbench is a graphical user interface (GUI) based bioinformatics software. It houses tools for molecular biology and next generation sequencing (NGS) analysis. CLC genomics workbench functionality includes: Analysis of your NGS data, Read More...

QIAGEN CLC Genomics Workbench is a graphical user interface (GUI) based bioinformatics software. It houses tools for molecular biology and next generation sequencing (NGS) analysis. CLC genomics workbench functionality includes: Analysis of your NGS data, Read More...

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...

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...

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...

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...

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinformatics environment and create a directory for today's work. conda activate bioinfo mkdir blast cd blast What is 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...

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 2: Getting Started with R on Biowulf Learning objectives Understand how R can be deployed on Biowulf Understand how to access and use R modules Learn to create a custom R library on Biowulf Deploying 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...

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...

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...

02/12/2020 - This two-day instructor-led course gives participants a broad study of networking options on Google Cloud Platform. Through presentations, demonstrations, and hands-on labs, learners explore and deploy GCP networking technologies, such as Google Virtual Private Read More...

05/22/2017 - Driven by the decreasing costs and increasing performance of next-generation sequencing (NGS) technologies, the amount of available genomic data has grown exponentially in recent years.  While most of the analyses of these data is Read More...

12/20/2016 - ABOUT THE COURSE R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series Read More...

12/19/2016 - iPathwayGuide is a gene and protein expression analysis tool that uses a systems biology approach to identify significantly impacted pathways, gene ontology terms, diseases, and predicted microRNAs based on the given gene or protein Read More...

11/22/2016 - ABOUT THE COURSE R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series Read More...

03/08/2016 - BTEP Workshop on Exome-Seq Data Analysis and Variant Annotation (2-day) This workshop will cover the basics and best practices of exome-seq analysis including downstream interpretation of variants using a variety of in-house, open-source and Read More...