Search Results for: MITF Exons 1-13

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While we can always download reference genomes and reference transcriptomes from repositories such as NCBI or Ensembl, we will use gffread to create one from the chromosome 22 genome (22.fa) that we have used when analyzing Read More...

Visualize alignment using IGV Post alignment QC Obtain expression counts

We can access a column of our data frame using [] , [[]] , or using the $ . We can use colnames() and rownames() to access the column names and row names of a data frame. For example: df[[" Read More...

06/13/2025 - Thi e ion will help participant of BTEP' Python introduction cour e with que tion related to cla .

06/13/2025 - Thi e ion will help participant of BTEP' Python introduction cour e with que tion related to cla .

01/13/2025 - 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...

02/13/2024 - In this lesson, attendees will continue learning how to plot publishable figures with ggplot2. 

Love Data Week 2024 is quickly approaching! What is Love Data Week?  Love Data Week is an international week of celebrating all things data related, with an emphasis on data management, sharing, and security. Read More...

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

Some material from this lesson was either taken directly or adapted from the Intro to R and RStudio for Genomics lesson provided by datacarpentry.org . Additional content was inspired by Chapter 13, Relational Data, from R Read More...

The recommended method involves applying a scikit-learn multinomial naive Bayes classifier. This uses machine learning to train a classifier on a referene database and then use the trained classifier to classify your ASVs. These classifiers Read More...

This practice lesson is associated with Lesson 4 of the Microbiome Analysis with QIIME 2. In this practice lesson, we will work on filtering our feature table and representative sequences, classify our features, and generate a phylogenetic Read More...

Practice Lesson 4 This practice lesson is associated with Lesson 4 of the Microbiome Analysis with QIIME 2. In this practice lesson, we will work on filtering our feature table and representative sequences, classify our features, and generate Read More...

Load in a tab delimited file (file_path= "./data/WebexSession_report.txt") using read_delim() . You will need to troubleshoot the error message and modify the function arguments as needed. {{Sdet}} Solution } library ( Read More...

12/13/2023 - In this lesson, we will continue to wrangle data using dplyr, focusing on functions such as group_by(), arrange(), summarize(), and mutate().

09/13/2023 - Sometimes the data you need is not available in a .csv or a SAS7BDAT format, or maybe it is not available on your computer or within your organization at all. This intermediate class Read More...

In support of Intramural Research Program (IRP) scientists, DOHS provides training, consulting, and resources to ensure that workers' risk to hazards and stresses in the laboratory environment is minimized. Our services include one-on-one consultation with Read More...

In support of Intramural Research Program (IRP) scientists, DOHS provides training, consulting, and resources to ensure that laboratory equipment is used and maintained properly and safely. We provide expert safety and health consulting support for Read More...

06/13/2025 - Dr. Fuhai Li,&nb p;A ociate Profe or at the chool of Medicine and Computer cience & Engineering, Wa hington Univer ity, will pre ent novel approache that combine large language Read More...

05/22/2025 - It took over $3 billion and 13 years to sequence the first human genome. Today, we can sequence a genome in a single day for less than $1,000.  That incredible technological advancement has led to the generation Read More...

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

03/13/2025 - This session will introduce participants to visualizing alignment results from Next Generation Sequences using the Integrative Genomics Viewer (IGV). This step is important as scientists may want to highlight results from certain genomic locations Read More...

03/13/2025 - UCSC Xena showcases seminal cancer genomics datasets from The Cancer Genome Atlas (TCGA) and the Pan-Cancer Atlas, as well as the Genomic Data Commons, Pan-cancer Atlas of Whole Genomes, and the International Cancer Genome Read More...

01/14/2025 - Join leaders from  NCI’s Human Tumor Atlas Network  (HTAN) to hear about the program’s collaborative efforts to develop comprehensive atlases incorporating cellular, molecular, and histological dimensions across various cancer types and stages.  Read More...

12/13/2024 - The National Cancer Institute has been working with central cancer registries, medical and pharmacy claims processors, and healthcare providers like children's hospitals, NCI-supported Cancer Centers, and radiation oncology providers through the National Childhood Read More...

11/13/2024 - This webinar will provide an overview of the generative artificial intelligence (AI) services across three major cloud service providers (CSPs) and the steps to follow for setting up AI chatbots in cloud environments with Read More...

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...

11/13/2024 - In this webinar, Dana-Farber Cancer Institute’s Dr. Renato Umeton will explore the transformative journey of applying artificial intelligence (AI) solutions at scale, and in full compliance, bridging the gap between Big Read More...

11/13/2024 - This one-hour online training will cover several easy-to-use tools for analytic situations, including PROC FREQ (chi-square tests, Fisher's exact test), PROC TTEST, and PROC NPAR1WAY. This training covers the basic guidelines for 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...

09/13/2024 - This course provides an introduction to data analysis using R, focusing on conducting various statistical tests and generating commonly used statistical regression models. Participants will learn how to perform hypothesis testing, calculate descriptive statistics, Read More...

09/13/2024 - Reverse-phase protein arrays (RPPAs) represent a powerful functional proteomic approach to elucidate cancer-related molecular mechanisms and develop novel cancer therapies.   To facilitate community-based investigation of the large-scale protein expression data generated by Read More...

08/13/2024 - NCI staff are welcome to register for an upcoming Childhood Cancer Data Initiative (CCDI) webinar titled, "CCDI Federated Data: Enhancing Data Discoverability," where you can learn about one of the newest advancements Read More...

08/13/2024 - This session will cover the basics of linear mixed-effects modeling as a method of regression analysis for clustered data. Special emphasis will be on the ideas behind random-intercepts and random-slopes modeling, and the discussion Read More...

06/13/2024 - The schedule for this week consists of one presentation: Lorenz Adlung, UMC Hamburg-Eppendorf, will discuss: scMod: Marrying machine learning and deterministic modelling of longitudinal single-cell data Single-cell-based methods such as flow cytometry or single-cell Read More...

06/13/2024 - Qiagen CLC Genomics Workbench is a point-and-click bioinformatics software that runs on a personal computer and enables bulk RNA sequencing, ChIP sequencing, long reads, and variant analysis. NCI scientists can use CLC Genomics Workbench Read More...

06/13/2024 - Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of 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...

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...

Some tools have been described in the previous session (see here ). Today, we will be focusing on the SingleR tool, which also requires the celldex package . In short, SingleR operates by comparing your current dataset Read More...

Here, we will start with the data stored in a Seurat object. For instructions on data import and creating the object, see an Introduction to scRNA-Seq with R (Seurat) . adp

05/13/2024 - This in-person workshop will focus on data wrangling using tidy data principles. Tidy data describes a standard way of storing data that facilitates analysis and visualization within the  tidyverse  ecosystem. There will be a Read More...

03/13/2024 - For inquires send email to staff@hpc.nih.gov Next edition of the NIH HPC monthly Zoom-In Consults! All Biowulf users, and all those interested in using the systems, are invited to stop by Read More...

03/13/2024 - Dear Colleagues,    UCSC Xena is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations.   Xena showcases seminal cancer genomics datasets from Read More...

select() requires the data frame followed by the columns that we want to select or deselect as arguments. #select the gene / transcript, logFC, and FDR corrected p-value #first argument is the df followed by columns Read More...

Try googling your problem or using some other search engine. rseek is an R specific search engine that searches several R related sites. If using google directly, make sure you use R to tag your Read More...

02/13/2024 - This class provides an overview of options for customizing a ggplot graph. This class will focus on methods for creating small multiples, options for customizing a graph, and how to apply ggplot themes.& Read More...

02/13/2024 - The first half of the session will briefly review statistics training resources available to the NCI based on feedback from previous Statistics for Lunch sessions. For the second half, we will have an open Read More...

Which of the following will throw an error and why? 4 _ chr :1:2: unexpected input ## 1: 4_ ## ^ . 4 chr :1:3: unexpected symbol ## 1: .4chr ## ^ {{Edet}} Create the following objects; give each object an appropriate name (your best guess at what name to Read More...

Separate the gene abbreviation from the Ensembl ID in column 1 using separate() . Save the output to a new object named dmat2 . {{Sdet}} Solution }. #separate gene abbreviation from ensembl id dmat2% select(1:2) dmat2% select(!gene_abb) {{ Read More...

This is our first coding help session. We have designed some practice problems to get you acquainted with using R before beginning to wrangle in our next lesson. Practice problems Which of the following will Read More...

There are many other ways to select multiple columns. You may commonly be interested in selecting all numeric columns or all factors. The syntax below can be used for this purpose. select(dexp, where(is. Read More...

We can also include helper functions such as starts_with() and ends_with() select(dexp, transcript, starts_with("log"), FDR) ## # A tibble: 15,926 × 4 ## transcript logFC logCPM FDR ## ## 1 TSPAN6 -0.390 5.06 0.00283 ## 2 DPM1 0.198 4.61 0.0770 ## 3 SCYL3 0.0292 3.48 0.844 ## 4 C1orf112 -0.124 1.47 0.682 ## 5 Read More...

We can select all columns, leaving out ones that do not interest us using a - sign. This is helpful if the columns to keep far outweigh those to exclude. We can similarly use the ! Read More...

Many of the packages that handle RNASeq count data do not work correctly with decimal numbers. We need to convert these numbers to integers using mutate() . Save your transformed data frame to an object named Read More...

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

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...

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...

For readability, let's move the transcript column to the front. #you can reorder columns and call a range of columns using select(). ex3 ## 1 TSPAN6 hg38 TRUE -0.390 5.06 32.8 0.000312 0.00283 untrt ## 2 DPM1 hg38 TRUE 0.198 4.61 6.90 0.0281 0.0770 untrt ## 3 SCYL3 hg38 Read More...

Help Session Lesson 3 Loading data Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and Read More...

12/13/2023 - For inquires send email to staff@hpc.nih.gov Meeting ID: 161 385 0213 Passcode: 179891 Next edition of the NIH HPC monthly Zoom-In Consults! All Biowulf users, and all those interested in using the systems, are invited Read More...

12/13/2023 - In this session we will take a closer look at the usage and all configuration options for Venn diagram and Pie chart in Qlucore. Also, we will look at variable list manipulations like compare Read More...

09/13/2023 - For inquires send email to staff@hpc.nih.gov Next edition of the NIH HPC monthly Zoom-In Consults! All Biowulf users, and all those interested in using the systems, are invited to stop by Read More...

09/13/2023 - Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing Read More...

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

:root { --primary-action: rgb(0, 0, 0) !important; --primary-action: rgb(0, 0, 0) !important; } .container { width: 1440px; max-width: 100%; } #h2 { font-size: 2.2rem; margin-left: 20px; } /* Lazy Load Styles */ .card-image { display: block; min-height: 20rem; /* layout hack */ background: #fff center center no-repeat; background-size: cover; filter: blur(3 Read More...

Bruker AVANCE 400 and 500 MHz NMR instruments. Helium Cryoprobe technology on the 500 MHz machine for added sensitivity, especially for Carbon-13 spectra. Access to a second 500 MHz instrument with Prodigy Liquid Nitrogen-cooled cryoprobe. User Accounts can be 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 PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...

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

The 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...

CREx News & Updates May 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with Read More...

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...

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...

Here, we will start with the data stored in a Seurat object. For instructions on data import and creating the object, see an Introduction to scRNA-Seq with R (Seurat) and Getting Started with Seurat: QC Read More...

Now, that we have clusters, we can use differential expression analysis to uncover markers that define our clusters. These markers can be used to assign cell types to our clusters. First, because we are working Read More...

Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...

This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...

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...

Now let's filter the rows based on a condition. Let's look at only the treated samples in scaled_counts using the function filter() . filter() requires the df as the first argument followed by Read More...

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

Learning Objectives To understand: 1. the difference between R and RStudioIDE. 2. how to work within the RStudio environment including: creating an Rproject and Rscript navigating between directories using functions obtaining help how R can enhance data Read More...

Now that we know what we mean by denoising, let's apply it to our data. We will use DADA2 , which seems to be the more popular method. To use DADA2, we need to make Read More...

There are two additional functions from Tidyr that are very useful for organizing data: unite() and separate() . These are used to split or combine columns. For example, you may have noticed that our feature column Read More...

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

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

There are many steps that can be taken following subsetting (i.e., filtering by rows and columns); one of which is reordering rows. In the tidyverse, reordering rows is largely done by arrange() . Arrange will Read More...

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...

R Crash Course: A few things to know before diving into wrangling Learning the Basics Objectives 1. Learn about R objects 3. Learn how to recognize and use R functions 4. Learn about data types and accessors Console Read More...

Let's load in some data to work with. In this lesson, we will continue to use sample metadata, raw count data, and differential expression results from the airway RNA-Seq project. Load the data: #sample Read More...

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...

For this lesson, we will use sample metadata and differential expression results from the airway RNA-Seq project. Let's begin by importing the data. #sample information smeta ## 1 GSM1275862 N61311 untrt untrt SRR10395… 126 SRX384345 SRS50… SAMN0242… ## 2 Read More...

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...

All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only includes the columns Read More...

Help Session Lesson 5 All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only Read More...

dplyr : joining, tranforming, and summarizing data frames Objectives Today we will continue to wrangle data using the tidyverse package, dplyr . We will learn: how to join data frames using dplyr how to transform and create 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...

Data import and reshape Objectives 1. Learn to import multiple data types 2. Data reshape with tidyr : pivot_longer() , pivot_wider() , separate() , and unite() Installing and loading packages So far we have only worked with objects that Read More...

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