Search Results for: bio-layer interferometry

The Biological Products Core provides the AIDS research community with high-quality purified preparations of various strains of Human Immunodeficiency Virus (HIV) and Simian Immunodeficiency Virus (SIV), economically prepared by leveraging the economy of scale. Materials Read More...

Back Services: Biophysics Facility offers ZetaView as an open-access instrument. First-time users must complete a short training session before using it for the first time. Training includes instrument calibration and size analysis of a standard Read More...

03/23/2023 - Learn how scientists are using ddPCR technology for absolute quantification of copy number variation, pathogen detection, detection of rare mutations, genome editing, and NGS data validation. We will go over ddPCR basics, and workflow Read More...

Now, let's take a look at the number of detected features. VlnPlot(adp, features = "nFeature_RNA", group.by="orig.ident") + scale_fill_manual(values=cnames) Warning: Default search for " Read More...

VlnPlot(adp, features = "percent.mt", group.by="orig.ident") + scale_fill_manual(values=cnames) + geom_hline(yintercept=10,color="red") Warning: Default search for "data" layer in " Read More...

Once we have read in the matrices, the next step is to create a Seurat object. The Seurat object will be used to store the raw count matrices, sample information, and processed data (normalized counts, Read More...

The Seurat Object is a data container for single cell RNA-Seq and related data. It is an S4 object, which is a type of data structure that stores complex information (e.g., scRNA-Seq count matrix, Read More...

Because we build plots using layers in ggplot2. We can add multiple geoms to a plot to represent the data in unique ways. #We can combine geoms; here we combine a scatter plot with a # Read More...

We are using the datasets below in the Qiagen IPA course. Human Brain Reference (HBR) and Univeral Human Reference (UHR) dataset Using this for the one hour lecture (from 1 - 2 pm) Find more information about Read More...

Because we build plots using layers in ggplot2. We can add multiple geoms to a plot to represent the data in unique ways. #We can combine geoms; here we combine a scatter plot with a # Read More...

11/23/2020 - Abstract: Mutational processes shape the genomes of cancer patients and their understanding has important applications in diagnosis and treatment. In this talk I will describe recent works in my lab to model mutational processes Read More...

Because we build plots using layers in ggplot2. We can add multiple geoms to a plot to represent the data in unique ways. #We can combine geoms; here we combine a scatter plot with a # Read More...

06/06/2025 - The la t decade ha demon trated the power of genomic to unravel the etiology of complex trait and di ea e . The va t majority of genomic tudie have been ba ed on Read More...

The Seurat v5 object doesn’t require all assays have the same cells. In this case, Cells() can be used to return the cell names of the default assay while colnames() can be used to 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...

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...

To complement this course, we have created a Biostars module on Biowulf. The following programs have been included in that module: Apps/Dependencies: bbtools bcftools bedtools bio bioawk blastn bowtie2 bwa cd-hit csvkit csvtk cutadapt Read More...

Biostars Software Description To complement this course, we have created a Biostars module on Biowulf. The following programs have been included in that module: Apps/Dependencies: bbtools bcftools bedtools bio bioawk blastn bowtie2 bwa cd-hit Read More...

04/06/2022 - Life Rafts in a Sea of Data: The Role of Librarians in Supporting Data Sharing Abstract:  The NIH has updated its policies on managing and sharing research data and will require a Data Management Read More...

07/26/2021 - The T cell receptor (TCR) repertoire of the adaptive immune system needs broad diversity to recognize any possible pathogen yet must have strategic gaps so as not to attack self.  The potential diversity is Read More...

09/21/2020 - Join Zoom Meeting BIO: Jean Claude Zenklusen was born 1964 in Visp, Switzerland. He earned a Master in Sciences (Biochemistry) from the University of Buenos Aires in 1990. He received his PhD in Cancer Biology & Read More...

05/07/2013 -   This 2 hour seminar will be an interactive discussion and demonstration of the types of applications and work-flows that can be performed on deep sequencing data generated by the latest instruments from Illumina, Life Technologies ( Read More...

The basic ggplot2 template: ggplot(data = DATA) + GEOM_FUNCTION(mapping = aes(<MAPPINGS>)) The only required components to begin plotting are the data we want to plot, geom function(s), and mapping Read More...

Seaborn is a popular Python plotting package, which is the tool that will be introduced in this lesson. Seaborn is an extension of and builds on Matplotlib and is oriented towards statistical data visualization. However, Read More...

Seaborn is a popular Python plotting package, which is the tool that will be introduced in this lesson. Seaborn is an extension of and builds on Matplotlib and is oriented towards statistical data visualization. However, Read More...

The basic ggplot2 template: ::: {.cell} ggplot(data = DATA) + GEOM_FUNCTION(mapping = aes(<MAPPINGS>)) ::: To get started we need: the data a geom function mapping aesthetics ::: {.notes} The only required components to Read More...

Colors are assigned to the fill and color aesthetics in aes(). We can change the default colors by providing an additional layer to our figure. To change the color, we use the scale_color functions: Read More...

Colors are assigned to the fill and color aesthetics in aes(). We can change the default colors by providing an additional layer to our figure. To change the color, we use the scale_color functions: Read More...

Colors are assigned to the fill and color aesthetics in aes(). We can change the default colors by providing an additional layer to our figure. To change the color, we use the scale_color functions: Read More...

Colors are assigned to the fill and color aesthetics in aes(). We can change the default colors by providing an additional layer to our figure. To change the color, we use the scale_color functions: Read More...

02/26/2026 - Scientific discovery is increasingly limited not by data availability, but by our ability to integrate evidence, generate hypotheses, and iteratively test them at scale. Recent advances in foundation models and large language models suggest Read More...

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

11/12/2024 - Join us at the upcoming hybrid NIH BRAIN NeuroAI Workshop on November 12 and 13, with virtual access to in-person panels and discussions at the NIH Campus in Bethesda, MD. Artificial intelligence (AI) is reshaping technology Read More...

Clinicians and bench scientists (a.k.a., wet lab researchers) are at the forefront of scientific achievement. However, most, if not all contemporary projects involve robust scientific analysis, where the tools of exploration aren’t Read More...

Look at the distribution of nCount_RNA with a Violin plot: # set colors cnames% ggplot(aes(color=orig.ident, x=nCount_RNA, fill= orig.ident)) + geom_density(alpha = 0.2) + theme_classic() + scale_x_log10() + geom_vline( Read More...

The metadata in the Seurat object is located in adp@metadata and contains the information associated with each cell. We can access the metadata using: head(adp@meta.data) #using head to return only the Read More...

02/21/2024 - https://cap-lab.bio (link is external) https:// (link is external) qiime2.org (link is external) The QIIME platform, including QIIME 1 and QIIME 2 ( https://qiime2.org (link is external) ), has been extensively applied in microbiome Read More...

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

The following represents the basic ggplot2 template: ggplot(data = ) + (mapping = aes()) We need three basic components to create a plot: the data we want to plot , geom function(s) , and mapping aesthetics . Notice the + symbol Read More...

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

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

The following represents the basic ggplot2 template. ggplot(data = ) + (mapping = aes()) The only required components to begin plotting are the data we want to plot, geom function(s), and mapping aesthetics. Notice the + symbol following Read More...

10/03/2023 - Multiplexed antibody-based imaging enables the detailed characterization of molecular and cellular organization in tissues. Significant advances in the field now allow high-parameter data collection (60+ targets); however, considerable expertise and capital are needed to validate Read More...

Compare the output from these commands: ls ls -S ls -lh ls -h (when used with -l option, prints file sizes in a human readable format with the unit suffixes: Byte, Kilobyte, Megabyte, Gigabyte, Terabyte. Read More...

Here, R will be used to generate principal components plot for the HBR and UHR study. Principal components plots are a popular way to visualize how samples in RNA sequencing cluster based on gene expression. %% Read More...

06/29/2023 - Please join us for a special presentation about the Fred Hutchinson’s data journal to the cloud, including an innovative cloud platform (Cirro:  https://cirro.bio/ ) to streamline data collection, Read More...

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

The following represents the basic ggplot2 template. ggplot(data = ) + (mapping = aes()) The main components include the data we want to plot, geom function(s), and mapping aesthetics. Notice the + symbol following the ggplot() function. This Read More...

We can modify many aspects of the figure legend using the function guide() . Let's see how that works and go ahead and customize some theme arguments. Notice that the legend position is specified in Read More...

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

The following represents the basic ggplot2 template ggplot(data = ) + (mapping = aes()) We need three basic components to create a plot: the data we want to plot, geom function(s), and mapping aesthetics. Notice the + symbol Read More...

08/24/2022 - Precision oncology has made significant advances, mainly by targeting actionable mutations and fusion events involving cancer driver genes. Aiming to expand treatment opportunities, recent studies have begun to explore the utility of tumor transcriptome 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...

08/03/2022 - Abstract:  Liver cancer, comprising mainly hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA), is one of the deadliest cancers in the world, with a five-year survival rate less than 20%. Immunotherapy has emerged as a promising Read More...

07/27/2022 - Many recent studies highlighted the improved capability of long-read sequencing to detect structural variation in the human genome. For example, these technologies was also recently utilized to produce the first complete assembly of the Read More...

06/22/2022 - Cancer origination and progression is a complex process that can be viewed as a somatic evolutionary progression with clonal cellular expansion(s) driven by accumulation of survival-/evasion-beneficial genomic mutations, alongside constantly changing selective Read More...

03/23/2022 - Introduction to Data Visualization in R: ggplot in R is the fourth class in the NIH Library Introduction to R Series. A basic understanding of R and R Data Types is expected. This class Read More...

02/16/2022 - For our next CDSL webinar we will have a guest lecture by Dr. Leng Han from the Center for Epigenetics and Disease Prevention at Texas A&M University. Abstract: Despite advancements in Read More...

01/12/2022 - Recent technological advances in science provide novel opportunities to unravel the complex biology of diseases. Immunological changes in translational settings are often highly dynamic and involve multiple interconnected biological systems. We will discuss a Read More...

06/10/2021 - Meeting Link:  https://cbiit.webex.com/cbiit/j.php?MTID=mc11b56eb7f7e732aa44c78427402dd2e Abstract: Long read, single molecule sequencing from Pacific Biosciences (PacBio) and Oxford Nanopore are revolutionizing Read More...

05/24/2021 - Dr. Adam Phillippy, a Senior Investigator at NHGRI will give an extremely interesting talk on Monday, 5/24 at 11 am via WebEx at https://nih.webex.com/nih/j.php?MTID=m237a8e77868c23cc4 Read More...

05/20/2021 - Biography : Christoph Bock is a Principal Investigator at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and Professor of [Bio]Medical Informatics at the Medical University of Vienna. His Read More...

05/10/2021 - Abstract: Deep learning is revolutionizing the prediction of protein tertiary structure and is close to solve this grand challenge hanging over the scientific world for many years. In this talk, I will describe how Read More...

05/03/2021 - Abstract: We will discuss technical advantages of a personalized and tumor-informed multiplex PCR next generation sequencing assay, called Signatera™, that enables a sensitive, specific, and dynamic detection of molecular disease burden in cell-free DNA ( Read More...

04/22/2021 - Abstract: Single-cell RNA-sequencing has emerged as a popular technique for dissecting temporal processes such as tumor development and cell differentiation from snapshots of asynchronous ensembles of cells. Ongoing efforts in this area are now Read More...

04/20/2021 - Abstract: Single-cell genome-wide profiling offers an approach to map transitional cell states during cell differentiation, disease onset, and drug response. Lineage-tracing, in which cells are labeled with hereditary markers, offers an approach to establishing Read More...

04/05/2021 - Dear colleagues, We'll be hosting a special guest lecture by Prof. John Moult from UMD. Abstract: Computing the three-dimensional structure of a protein molecule from its amino acid sequence is a long-standing grand Read More...

03/29/2021 - For coming Monday's CDSl webinar, we'll be hosting Dr. Yun Liu from Google Health. Abstract: This talk will briefly cover two categories of our work: deep learning to identify dermatology conditions from Read More...

03/11/2021 - Abstract: Targeted quantitative proteomics using multiple/parallel reaction monitoring (MRM, PRM) is already being applied by many researchers in biology, biochemistry, and clinical research laboratories. These methods allow rapid and precise quantitation of proteins Read More...

03/05/2021 - Overview: The Human Cell Atlas (HCA) is an ambitious global initiative that aims to create a comprehensive reference map of all human cells—the fundamental units of life—as a basis for both understanding Read More...

02/22/2021 - coming Monday we'll be having a guest lecture by Dr. Jian Peng from UIUC. Abstract: Recent advances in functional genomics have enabled large-scale measurements of molecular interactions, functional activities, and the impact of Read More...

02/09/2021 - Sarah Teichmann Head of the Cellular Genetics Programme - Wellcome Sanger Institute - Cambridge UK Lab homepage: https://www.sanger.ac.uk/group/teichmann-group/ Venue: zoom conference https://nih.zoomgov.com/j/1619988709?pwd=dEIwM0 Read More...

01/04/2021 - Abstract: Phenotypic heterogeneity in cancer is often caused by different patterns of genetic alterations. Understanding such phenotype-genotype relationships is fundamental for the advance of personalized medicine. In this talk, I will present a computational 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...

11/30/2020 - 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...

08/31/2020 - Alternative splicing (AS) and alternative back-splicing (ABS) are essential to understanding the development of cancer and may play a role as a target of personalized cancer therapeutics. However, the existing reference transcriptome annotation databases Read More...

06/01/2020 - After nearly two decades of improvements, the current human reference genome is the most accurate and complete vertebrate genome ever produced. However, no one chromosome has been finished end to end, and hundreds of 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...

01/16/2020 - Marshaling Public Data for Lean and Powerful Splicing Studies The Sequence Read Archive (SRA) now contains over a million accessions. Such archives are potential gold mines for researchers but they are not organized for 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...

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 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...

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...

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...

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...

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...

More useful Unix Flags and command options - making programs do what they do Use of wildcards Using tab complete for less typing Access your history with the "up" and "down" Read More...

More useful Unix Flags and command options - making programs do what they do Use of wildcards Using tab complete for less typing Access your history with the "up" and "down" Read More...

More useful Unix Flags and command options - making programs do what they do Use of wildcards Using tab complete for less typing Access your history with the "up" and "down" Read More...

Lesson 4: Useful Unix For this lesson, you will need to login to the GOLD environment on DNAnexus. Lesson 3 Review Biowulf is the high performance computing cluster at NIH. When you apply for a Biowulf account Read More...

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...

Introduction to ggplot2 Objectives Learn how to import spreadsheet data. 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 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...

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...

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...