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Bioinformatics
Create the design.csv file using the nano editor. Recall that the design files contain nothing more than a column with sample names and a column informing of sample treatment condition. Some of the R Read More...
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Bioinformatics
12/10/2020 - Register Single cell sequencing has reopened the definition of a cell’s identity and the ways in which that identity is regulated by the cell’s molecular circuitry. Learn the types of studies that Read More...
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Bioinformatics
07/17/2025 - NIDDK Biostats Seminar Series: From Research Study Design to Collecting, Managing, and Analyzing Data. Learning Objectives 1. The learner should know the difference between observational studies, clinical trials (drug and non-drug studies), and secondary data ( Read More...
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Bioinformatics
04/02/2025 - Join Dr. Caroline Chung as she discusses the multifaceted process of integrating AI into healthcare, emphasizing the critical role of context at every stage. You will be equipped with insights and strategies for successful Read More...
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Bioinformatics
The general experimental design was as follows: WT vs DKO mice at two time points, 0 and 6 days. At day 0, cells were in a preadipocyte state, while at day 6 they had differentiated into adipocytes. Each time Read More...
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Bioinformatics
12/07/2023 - This webinar will discuss and demonstrate experimental design considerations in variant analysis, including the origins of tissue samples (germline vs. somatic), whole exome (WES) or whole-genome sequencing (WGS), sample sizes and statistical power, quality Read More...
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Bioinformatics
A good experimental design is vital for the success of any RNASEQ experiment. Before you begin the experiment make sure you have a clear understanding of the technique and how to avoid costly mistakes that Read More...
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Bioinformatics
nano design.csv Copy the text below to the nano editor, hit control-x and save to return to the terminal. sample,condition BORED_1.bam,BORED BORED_2.bam,BORED BORED_3.bam,BORED EXCITED_1.bam,EXCITED EXCITED_2. Read More...
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Bioinformatics
11/15/2024 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
12/04/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
03/10/2025 - AI Club is a weekly meeting that explores various topics relating to AI and deep learning in biomedical sciences, typically in a seminar, workshop, or journal club format. AI Club is intended to be Read More...
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Bioinformatics
Notes: linux - how to get help (man, flags) file permissions - changing permissions include grep and regular expressions
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Bioinformatics
Notes: linux - how to get help (man, flags) file permissions - changing permissions include grep and regular expressions
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Bioinformatics
As we can see above, the glimpse command shows the metadata that can be used to classify the cells. Within Seurat, the metadata is used to define the "identity" of the dataset. This Read More...
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Bioinformatics
Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...
Bethesda, MD
Trans NIH Facility
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...
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Bioinformatics
03/26/2024 - Dear Colleagues, Developed by expert statisticians and programmers, SUDAAN is a software package designed for researchers who work with study data. SUDAAN procedures properly account for correlated observations, clustering, weighting, stratification, and Read More...
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Bioinformatics
readRDS("./data/diffexp_results_edger_airways.rds") |> #read data select(transcript, logFC, FDR) |> #select columns of interest filter(transcript == "TSPAN6" | transcript=="DPM1" ) |> #filter ggplot(aes(x= Read More...
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Bioinformatics
In order to create a ggplot2 bar plot we will need to reshape the data. The sample names should be in a single column named Sample and the gene counts in a single column named Read More...
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Bioinformatics
Let's now create a gene expression heatmap for results generated using the classification based approach. We have our results.csv and design.csv file in our salmon directory so we just need to do Read More...
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Bioinformatics
Can we generate an expression heatmap? {{Sdet}} Solution{{Esum}} Rscript $CODE/create_heatmap.r {{Edet}} Next, let's generate the Principal Components Analysis plot. But first, we need to convert the counts.csv and design. Read More...
Bethesda, MD
Repositories
Trans NIH Facility
With specimens that span neurological, neuropsychiatric, and neurodevelopmental diseases and disorders, the NBB serves as a central point of access to the world-class collections of our six biorepositories. In addition, the NBB provides researchers with Read More...
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Bioinformatics
05/20/2020 - Advances in technology have reduced the cost of single cell sequencing, opening the doors to many new areas of study including transcriptome, DNA genomics, epigenomics and microbial systems. This workshop, provided by experts from Read More...
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Bioinformatics
04/10/2025 - The cost of handling rare and/or late-stage diseases far exceeds preventative strategies. Cell and gene therapies can be quite cost-effective when applied at large population scales (e.g. pandemic vaccines and transfusions). AI Read More...
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Bioinformatics
03/17/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a several trainings that cover general concepts behind statistics and epidemiology. These trainings will help Read More...
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Bioinformatics
Bioinformatics support to CCR investigators is provided by: CCR Collaborative Bioinformatics Resource (CCBR) The CCR Collaborative Bioinformatics Resource (CCBR) is a resource group which provides a mechanism for CCR researchers to obtain many different types Read More...
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Bioinformatics
10/10/2024 - This introductory lecture will provide an overview of bulk RNA-Seq technology, its various application and shortcomings, as well as detailing the steps involved in analyzing the resulting data. The talk is aimed at those Read More...
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Bioinformatics
In this tutorial, we are using data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . The raw count matrices are Read More...
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Bioinformatics
The Single Cell Analysis Facility (SCAF) is a CCR facility dedicated to the application of single-cell technologies in cancer research. Based on the NIH Bethesda main campus, SCAF aims to provide the broadest range of Read More...
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Bioinformatics
04/03/2024 - The Single Cell Analysis Facility (SCAF) is a CCR facility dedicated to the application of single-cell technologies in cancer research. Based on the NIH Bethesda main campus, SCAF aims to provide the broadest range Read More...
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Bioinformatics
::: {.cell} readRDS ( "./data/diffexp_results_edger_airways.rds" ) |> #read data select ( transcript , logFC , FDR ) |> #select columns of interest filter ( transcript == "TSPAN6" | transcript == "DPM1" ) |> #filter ggplot ( aes ( Read More...
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Bioinformatics
ggplot2 uses a default coordinate system (the Cartesian coordinate system). This isn't super important until we want to do something like make a map (See coord_quickmap() ) or create a pie chart (See coord_ Read More...
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Bioinformatics
The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures. --- tidyverse.org The core packages within tidyverse include dplyr , ggplot2 , Read More...
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Bioinformatics
Lastly, the QIIME2 forum is a fantastic resource to get help with qiime2 plugins or questions related to your workflow or research design. There is also a "best-of-the-forum" tag, which is worth a Read More...
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Bioinformatics
The object class used by the DESeq2 package to store the read counts and the intermediate estimated quantities during statistical analysis is the DESeqDataSet. --- Analyzing RNA-seq data with DESeq2 Constructing this object from a Read More...
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Bioinformatics
Next, we need to generate the counts (ie. number of reads that map to a transcript). But first, change back into the ~/biostar_class/snidget folder and then take a moment to think about how Read More...
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Bioinformatics
Central Dogma of Molecular Biology What is RNA Sequencing? How to Design an RNA-Seq Experiment Biological and Technical Replicates
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Bioinformatics
Remember: Replicates, batch effects, consult BEFORE sequencing CCBR Best Practices for Experimental Design Sequence depth and machine requirements estimates can be obtained from the Illumina Sequencing Coverage Calculator Cost estimates can be previewed at the Read More...
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Bioinformatics
After the merged expression counts table has been created, we can proceed with differential expression analysis. Let's use DESeq2 again for this. But first, let's move counts.csv (the merged salmon expression table) Read More...
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Bioinformatics
"The goal of DAVID's design is to be able to efficiently upload and analyze a list consisting of
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Bioinformatics
"The goal of DAVID's design is to be able to efficiently upload and analyze a list consisting of
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Bioinformatics
Lesson 16 Practice Objectives In this lesson, we learned about the classification based approach for RNA sequencing analysis. In this approach, we are aligning our raw sequencing reads to a reference transcriptome rather than a genome. Read More...
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Bioinformatics
Prior to differential expression analysis, we need to generate a design.csv file that contains the samples and their corresponding treatment conditions. Note that csv stands for comma separated value so the columns in these Read More...
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Bioinformatics
Plots condense complex and busy tabular data into a form that is easier to interpret. An expression heatmap is a common visualization used in RNA sequencing analysis. A heatmap shows numerical data on a color Read More...
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Bioinformatics
A typical RNASEQ experiment involves several steps, only one of which falls within the realm of bioinformatics. Namely the Data Analysis step. Experimental Design What question am I asking How should I do it (does Read More...
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[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...
Frederick, MD
Core Facility
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...
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Bioinformatics
Objectives Review important data wrangling functions Put our wrangling skills to use on a realistic RNA-Seq data set Data Wrangling Review Important functions by topic Importing / Exporting Data Importing and exporting data into the R Read More...
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Bioinformatics
High resolution single cell profiling assays have provided an unprecedented view of many biological systems and processes, but the spatial context in which this biology is occurring is often crucial. Spatial profiling, including spatial transcriptomic Read More...
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Bioinformatics
07/31/2025 - NIDDK Biostats Seminar Series: From Research Study Design to Collecting, Managing, and Analyzing Data. Learning Objectives: Be able to identify, load, and use R resources/packages based upon needs and experience level with R.& Read More...
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Bioinformatics
07/24/2025 - NIDDK Biostats Seminar Series: From Research Study Design to Collecting, Managing, and Analyzing Data. Learning Objectives: 1. To delineate Read More...
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Bioinformatics
04/28/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a several trainings that cover general concepts behind statistics and epidemiology. These trainings will help Read More...
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Bioinformatics
The computational chemistry and protein modeling team in the Advanced Biomedical Computational Science (ABCS) group provides novel solutions in structural modeling and computational chemistry. Computational scientists in the group collaborate with NCI researchers by using Read More...
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Bioinformatics
01/08/2025 - This three hour online training will focus on getting started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) . IPA enables you to quickly identify biological relationships, mechanisms, pathways, functions and Read More...
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Bioinformatics
12/09/2024 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
Web Page
Bioinformatics
12/03/2024 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
11/13/2024 - The National Library of Medicine (NLM) Division of Intramural Research (DIR) is pleased to welcome Manisha Desai, PhD, Section Chief of Biostatistics and Director of the Quantitative Sciences Unit at Stanford University School of Read More...
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Bioinformatics
11/08/2024 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
Web Page
Bioinformatics
Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...
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Bioinformatics
The CCR Single Cell Analysis Facility (SCAF): An Overview The Single Cell Analysis Facility (SCAF) is a CCR facility dedicated to the application of single-cell technologies in cancer research. Based on the NIH Bethesda main Read More...
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Bioinformatics
In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...
Web Page
Bioinformatics
In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...
Web Page
Bioinformatics
05/15/2024 - In this one-hour webinar, you'll get a demonstration of DNASTAR Lasergene Software. DNASTAR offers software solutions for molecular biology, protein analysis, and genomics. This presentation will focus on an overview of the applications Read More...
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Bioinformatics
05/08/2024 - Qlucore Omics Explorer is a point-and-click software that enables analysis of RNA sequencing (bulk and single cell), proteomics and metabolomics data. It’s machine learning capabilities also allow for classification of cell types. This Read More...
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Bioinformatics
The Bioinformatics Training and Education Program (BTEP) was established by the Office of Science and Technology Resources (OSTR) for the purpose of providing training enabling scientists to understand and analyze their own experimental data, at Read More...
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Bioinformatics
Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...
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Bioinformatics
12/18/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
S4 is a rigorous system that forces you to think carefully about program design. It’s particularly well-suited for building large systems that evolve over time and will receive contributions from many programmers. --- Advanced Read More...
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Bioinformatics
Often we will apply multiple functions to wrangle a data frame into the state that we need it. For example, maybe you want to select and filter. What are our options? We could run one Read More...
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Bioinformatics
For the help sessions, we will work on processing sequences generated in Zhang Z, Feng Q, Li M, Li Z, Xu Q, Pan X, Chen W. Age-Related Cancer-Associated Microbiota Potentially Promotes Oral Squamous Cell Cancer Read More...
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Bioinformatics
Let's remember back to the design of the study we are examining ( Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant ). This study included a randomized controlled longitudinal trial involving 25 Read More...
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Bioinformatics
Work through DNAnexus? Find a nice cancer data set for 16S and shotgun Divide into two workshops or courses? Course structure or workshop structure? Amplicon processing and analysis (5 week course) (4 weeks) 1. Talk by Greg Caparaso? 1. Read More...
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Bioinformatics
Microbiome Course Course Outline Work through DNAnexus? Find a nice cancer data set for 16S and shotgun Divide into two workshops or courses? Course structure or workshop structure? Amplicon processing and analysis (5 week course) (4 weeks) 1. Read More...
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Bioinformatics
The geom functions require a mapping argument. The mapping argument includes the aes() function, which "describes how variables in the data are mapped to visual properties (aesthetics) of geoms" (ggplot2 R Documentation). If Read More...
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Bioinformatics
12/12/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
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Bioinformatics
12/08/2023 - This presentation will discuss strategies and policies for effective sharing and reuse of large multidimensional datasets. Dr. Espinosa will discuss his experiences as a data generator, data analyst, collaborator, teacher, and mentor through the Read More...
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Bioinformatics
12/06/2023 - This presentation will provide a one-hour overview demonstration on Geneious Prime, a software platform for molecular biology and sequence analysis. It is built to be highly visual, easy to use, and collaborative. & Read More...
Web Page
Bioinformatics
11/28/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...
Web Page
Bioinformatics
11/21/2023 - Dear Colleagues, This presentation will provide an overview of OpenCRAVAT. Annotation and interpretation of cancer variants is critical to the design of personalized molecular therapies, and Read More...
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Bioinformatics
09/20/2023 - This session of the BTEP Coding Club will focus on the tool rMATS for differential alternative splicing event detection from RNA-Seq data. This 1-hour demo will provide a detailed overview of rMATS including why Read More...
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Bioinformatics
Lesson 15 Practice Objectives Previously, we performed QC on the Golden Snidget RNA sequencing data, aligned the sequencing reads to its genome, and obtained expression counts. We can now finally perform differential expression analysis, to find Read More...
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Bioinformatics
Statistical Models - these should be appropriate for your experimental design. The methods you are using should be consistent with what's in related scientific literature. Different tests produce different results. Consult a statistician if Read More...
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Bioinformatics
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...
Frederick, MD
Core Facility
NCI LASP Genome Modification Core (GMC) is a CCR-dedicated facility that provides advice, training, and reagents to NCI scientists seeking to utilize CRISPR and other nucleases to generate genome modifications in primary cells, cell lines, Read More...
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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.
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NanoString Technology The nCounter® Analysis System is an automated, multi-application, digital detection and counting system which directly profiles up to 800 molecules simultaneously from a single sample using a novel barcoding technology. Profile hundreds of mRNAs, Read More...
Frederick, MD
Collaborative
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...
Frederick, MD
Core Facility
The Biophysics Resource (BR) was established in January 2001. Our mission is to provide CCR investigators with access to both the latest instrumentation and expertise in characterizing the biophysical aspects of systems under structural investigation. The Read More...
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.row { display: flex; justify-content: space-around; align-items: flex-start; margin: 20px; } .column { text-align: center; padding: 10px; width: 30%; } .column img { display: block; margin: 0 auto; width: 150px; height: 150px; } .column strong { display: block; margin-top: 10px; } Background: Intravital microscopy (IVM) Read More...
Frederick, MD
Collaborative
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...
Bethesda, MD
Core Facility
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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural Core Resources NHGRI Flow Cytometry Core The Core performs high quality single cell analysis through the Read More...
Bethesda, MD
Collaborative
The Office of Collaborative Biostatistics, Office of the Clinical Director, is the statistical and data management component of CCR. The Section provides statistical leadership and data management consultation for CCR’s major clinical activities and Read More...
Web Page
CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx Program Manager The CREx Team is happy to announce Deepika Velampati as the new CREx Program Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. We would greatly appreciate 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...
Charlottesville, VA
Repositories
Trans NIH Facility
The Mid-Atlantic CHTN is one of six participating divisions of the Cooperative Human Tissue Network (CHTN) and is based in the Pathology Department at the University of Virginia. While primarily a resource for cancer researchers, Read More...
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Electron Microscopy Laboratory (EML) The EML offers investigators access to unique expertise and EM technologies that allow our partners to explore new avenues of research to enhance the knowledge of biological systems. To assist our Read More...
Frederick, MD
Core Facility
The EML offers investigators access to unique expertise and EM technologies that allow CCR Investigators to explore new avenues of research in order to enhance the knowledge of biological systems. To assist our customers, we Read More...
Bethesda, MD
Trans NIH Facility
The Center for Inherited Disease Research (CIDR)'s mission is to support the genetics community by providing high-quality, cutting-edge genomics services and technologies in order to expand our understanding of disease and catalyze discoveries that Read More...
Bethesda, MD
Trans NIH Facility
The Metabolic Clinical Research Unit (MCRU) opened in 2007 as a key component of the Strategic Plan for NIH Obesity Research . The NIDDK worked closely with the Clinical Center to design the Unit, which houses state-of-the-art Read More...
Bethesda, MD
Collaborative
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...
Bethesda, MD
Trans NIH Facility
The NIH Clinical Center Pharmacy Department provides pharmaceutical care to inpatients and outpatients on NIH intramural research protocols at the NIH Clinical Center. The Clinical Center facility encompasses 200 inpatient beds, 93 day-hospital stations, and 15 clinics. Clinical Read More...
Bethesda, MD
Core Facility
The rapid advancement of single-cell technology has provided new powerful tools to answer many biological questions, such as identifying new or rare cell populations and characterizing the complexities of tumor heterogeneity. Realizing the great potential Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...
Bethesda, MD
Trans NIH Facility
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...
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September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...
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The Staff Scientists/Clinicians (SSSC) Technical Enrichment Program (STEP) was established to provide SSSC’s an opportunity to compete for funding to gain comprehensive training in state-of-the-art techniques available through CCR Cores and Facilities. The Read More...
Frederick, MD
Core Facility
NCI LASP Animal Research Technology Support (ARTS) provides customized technical support for basic and translational animal-based research to the scientific community. We offer a wide array of services ranging from expert colony management to the Read More...
Frederick, MD
Core Facility
The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas Read More...
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Large STARS can be used to request supplemental funding exceeding $8,000 to offset experimental costs (e.g., core or vendor services or specialized reagents). Applications require detailed scientific and budgetary justification and must be proposed in Read More...
Frederick, MD
Core Facility
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...
Bethesda, MD
Core Facility
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...
Web Page
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...
Frederick, MD
Core Facility
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...
Bethesda, MD
Core Facility
The CCR Building 41 Flow Cytometry Core is a full-service facility within the Center for Cancer Research that supports over 150 users representing 26 laboratories. The Core Facility provides instrument and software training, technical expertise, assay development, and Read More...
Frederick, MD
Core Facility
The research conducted within the Synthetic Biologics Core (SBC) Facility has a dual role: Generate chemical biology tools and drug candidates for molecular targets identified by NCI research groups, Develop novel effective methods and tools Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...
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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...
Frederick, MD
Core Facility
OMAL focuses its research and development activities to quantitatively understand the molecular basis of three-dimensional (3D) cell organization, motility, invasion, and differentiation using fixed samples and live, 3D tissue culture models (i.e., translational models). Read More...
Bethesda, MD
Collaborative
The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...
Web Page
CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...
Bethesda, MD
Trans NIH Facility
The 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...
Rockville, MD
Trans NIH Facility
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...
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CREx News & Updates July 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
Bethesda, MD
Collaborative
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...
Bethesda, MD
Collaborative
Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...
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[tabby title="Home"] About NICE-NIH Intramural CryoEM Consortium NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of Read More...
Frederick, MD
Collaborative
In order to meet increasing demands from both NIH intramural and extramural communities for access to a small angle X-ray scattering (SAXS) resource, the Center for Cancer Research (CCR) under the leadership of Drs. Jeffrey Read More...
Web Page
Bioinformatics
1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...
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Bioinformatics
This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...
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Bioinformatics
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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Bioinformatics
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...
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Bioinformatics
General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Desiree Tillo, Ph.D . Staff Scientist desiree.tillo@nih.gov I have a broad research background in bioinformatics Read More...
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Bioinformatics
Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...
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Bioinformatics
What is bioinformatics? Bioinformatics integrates biology, statistics, and computer science to develop and apply theory, methods, and tools for the collection, storage, and analysis of biological and related data. Bioinformatics plays a critical role in Read More...
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Bioinformatics
The FindAllMarkers function is particularly useful in identifying the differentially expressed genes that distinguish several groups, such as seen here in the clusters. What makes this unique is that none of the identities are initially Read More...
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Bioinformatics
Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...
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Bioinformatics
The Advanced Biomedical Computational Science (ABCS) group focuses on applications of bioinformatics, computational and data science, and artificial intelligence to support NCI researchers. ABCS provides: • Subject matter expertise in genomics, proteomics, and imaging. • Machine learning/ Read More...
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Bioinformatics
The geom functions require a mapping argument. The mapping argument includes the aes() function, which "describes how variables in the data are mapped to visual properties (aesthetics) of geoms" (ggplot2 R Documentation). If Read More...
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Bioinformatics
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...
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Bioinformatics
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...
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Bioinformatics
Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...
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Bioinformatics
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...
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Bioinformatics
Practice Lesson 2 For the help sessions, we will work on processing sequences generated in Zhang Z, Feng Q, Li M, Li Z, Xu Q, Pan X, Chen W. Age-Related Cancer-Associated Microbiota Potentially Promotes Oral Squamous Read More...
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Bioinformatics
Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding Read More...
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Bioinformatics
Introduction to dplyr and the %>% Objectives Today we will begin to wrangle data using the tidyverse package, dplyr . To this end, you will learn: how to filter data frames using dplyr how to employ Read More...
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Bioinformatics
Lesson 2: Getting Started with QIIME2 Lesson Objectives Obtain sequence data and sample metadata Import data and metadata Discuss other useful QIIME2 features including view QIIME2, provenance tracking, and the QIIME2 forum. DNAnexus DNAnexus provides a Read More...
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Bioinformatics
Introduction to ggplot2 Objectives Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective figures. Data Visualization in the tidyverse Read More...
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Bioinformatics
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...