Search Results for: BHD Exons 1-14

Differential expression and interpretation of results Brief introduction to gene ontology and pathway analysis

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...

The majority of mRNA derived from eukaryotes is the result of splicing together discontinuous exons, and this creates specific challenges for the alignment of RNASEQ data.

05/14/2025 - Please note: Registration is required to get the Meeting Link for this event. Please pre-register. The Human Tumor Atlas Network (HTAN) is a National Cancer Institute (NCI)-funded initiative to construct 3-dimensional atlases of Read More...

get an interactive node sinteractive --cpus-per-task=12 --mem=30g --gres=lscratch:20 module load STAR mkdir -p bam/rnaseq_STAR GENOME=/fdb/STAR_current/UCSC/mm10/genes-100 and run STAR. STAR --runThreadN 12 --genomeDir $GENOME --sjdbOverhang 100 --readFilesIn filename. Read More...

One of the challenges in analyzing high throughput sequencing is to reconstruct the genome of the unknown by using a knonw (ie. reference). The next step in analysis is to align our sequencing data to 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...

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...

As you continue to work in R, at some point you will need to incorporate regular expressions into your code. We used a regular expression escape above \\. to denote that we wanted to match a Read More...

11/14/2023 - This talk will cover how to maximize the utility of your data by handling missing values and performing mathematical transformations. We will cover best practices, common pitfalls, and touch on data standardization methods. This Read More...

Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's Read More...

Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's Read More...

For RNA sequencing studies, we need to use a splice aware aligner to account for reads that map across exons. Bowtie2 is a commonly used aligner for DNA sequencing and is not splice aware. Let' Read More...

One of the things we will be doing quite often is to visualize genomics data using some sort of genome browser. In this course series, we will use a popular one called Integrative Genome Viewer( Read More...

One of the things we will be doing quite often is to visualize genomics data using some sort of genome browser. In this course series, we will use a popular one called Integrative Genome Viewer( Read More...

Why do we need a reference genome? {{Sdet}} Solution{{Esum}} The reference genome serves as a "known" that guides us in constructing the genome of the unknown from sequencing data. {{Edet}} What file Read More...

For RNA sequencing studies, we need to use a splice aware aligner to account for reads that map across exons. Bowtie2 is a commonly used aligner for DNA sequencing and is not splice aware. Let' Read More...

The bowtie2-build indexer builds a Bowtie index from a set of DNA sequences ([ref]. "bowtie2-build" builds a Bowtie index from a set of DNA sequences. "bowtie2-build" outputs a Read More...

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

This page uses content directly from the Biostar Handbook by Istvan Albert. Always remember to activate the bioinfo environment when working on Biostar class material. conda activate bioinfo Retrieving a FASTA genome from NCBI/GenBank Read More...

The NHLBI Murine Phenotyping Core carries out physiologic and behavioral testing in a diversity of mouse models for NHLBI and other NIH institutes. Established Technologies: Cardiovascular Phenotyping, Metabolic Phenotyping, Pulmonary Phenotyping, Behavioral Phenotyping, Exercise Physiology, Read More...

CREx News & Updates December 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight FACILITY HIGLIGHTS Learn more about services from the STRIDES Initiative. VIEW STRIDES INITIATIVE NIH Cores 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...

08/14/2025 - Biowulf isthe NIH Unix-based high-performance computer (HPC). Unix is a command driven computer operating system. Biowulf has more computational power than the average laptop, which makes it ideal for analyzing Next Generation Sequencing (NGS) Read More...

04/14/2025 - Gene set analysis (GSA) is essential in genomic research, yet traditional methods often lack transparency and produce contextually irrelevant results, making interpretation challenging. While large language models (LLMs) offer a promising solution for result Read More...

01/14/2025 - Join us for a webinar on EMERSE, a text processing system designed specifically for non-technical users, featuring David Hanauer, M.D., M.S. from the University of Michigan Medical School. EMERSE (Electronic Medical Record Read More...

01/14/2025 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...

01/14/2025 - In this talk, we will cover the basics of survival analysis as a statistical methodology developed for censored data. Special emphasis will be on visualizing survival data, comparing survival-time distributions for subject groups, and 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...

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

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...

08/14/2024 - In this introduction session, Dr. Yana Stackpole will discuss biologist-friendly ways to import and analyze RNAseq data in Qlucore, followed by integrated GSEA for biological interpretation.   She will pick a public cancer-related Read More...

06/14/2024 - Data Sharing and Reuse Seminar Series Please join us for the June Data Sharing and Reuse Seminar where Micahel Schatz, Ph.D. will be presenting "BioDIGS: BioDiversity and Informatics for Genomics Scholars. This Read More...

05/14/2024 - Participants will learn how to develop artificial intelligence (AI) applications using MATLAB, even if they do not have a formal background in machine and deep learning. The goal of this course is to introduce Read More...

05/14/2024 - This presentation will explain the difference between the mean and standard deviation of a set of values and the standard error of the mean. The parameters involved in comparing two normally distributed populations relative 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...

02/14/2024 - For inquires send email to staff@hpc.nih.gov Meeting ID: 160 198 9146 Passcode: 083637 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...

02/14/2024 - Explore the intricate world of pathway analysis with Reactome. Reactome is an open-source, manually-curated and peer-reviewed biological pathway knowledgebase, free and open to the public. We will provide you an overview of the contents Read More...

02/14/2024 - 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...

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...

In comma separated files the columns are separated by commas and the rows are separated by new lines. To read comma separated files, we can use the specific functions ?read.csv() and ?read_csv() . Let' 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 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...

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...

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...

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...

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...

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...

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...

S4 objects store complex information that isn't necessarily simple to save. If you intend to work with the object further, try using saveRDS . saveRDS(se, "airways.rds") #save the object Note saveRDS() 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...

12/14/2023 - NIDAP , the NIH Integrated Data Analysis Platform, is a cloud-based, collaborative data aggregation and analysis platform that hosts user-friendly bioinformatics workflows and other component analysis and visualization tools. The NCI CCR Collaborative Bioinformatics Resource ( Read More...

11/14/2023 - Dr. Ting Wang is a Sanford C. and Karen P. Loewentheil Distinguished Professor of Medicine at the McDonnell Genome Institute, Washington University School of Medicine in St. Louis. Dr. Wang’s lab Read More...

09/14/2023 - Python Programming for Scientists" is an engaging and practical training series designed to equip scientists with essential Python programming skills to enhance their research capabilities. This comprehensive series is explicitly tailored for researchers Read More...

09/14/2023 - While there is a positive correlation between cancer and aging, the mechanisms underlying this relationship remain unclear. Clonal hematopoiesis, a benign condition that is both associated with aging and predisposes to increased risk of Read More...

09/14/2023 - In this 90-minute session, participants will learn to improve and optimize their MATLAB code to boost execution speed by orders of magnitude. The course covers common pitfalls in writing MATLAB code, explores the use Read More...

09/14/2023 - This is Lesson 2 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...

Which reference genome are we using in this IGV session to view the alignment results for samples hcc1395_normal_rep1 and hcc1395_tumor_rep2? On what chromosome are the sequencing data mapping to? {{Sdet}} Solution{{ Read More...

In this portion of the class, it is very important that you have IGV already opened on your computer. See Figure 1 and Figure 2 on how to load the relevant alignment outputs for HBR_1 and UHR_1 Read More...

For visualizing the HBR and UHR alignment results, we will use the built in Human hg38 genome. To do this, we will just goto the genome selection box and select hg38 (Figure 2). In Figure 3, we Read More...

Type cmd + spacebar and search for "terminal". Once open, right click on the app logo in the dock. Select Options and Keep in Dock . The default shell starting with Mac OSX version 10.14 is Read More...

Type cmd + spacebar and search for "terminal". Once open, right click on the app logo in the dock. Select Options and Keep in Dock . The default shell starting with Mac OSX version 10.14 is Read More...

In this lesson, we will continue to use the Human Brain Reference (HBR) and Universal Human Reference (UHR) data and we will Learn to align the sequencing data to reference genome using HISAT2, which is Read More...

In this lesson, we will continue to use the Human Brain Reference (HBR) and Universal Human Reference (UHR) data and we will Learn to align the sequencing data to reference genome using HISAT2, which is Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Let's start our exploration of sequencing read alignment by discussing the reference genome for human chromosome 22. For this, change into our ~/biostar_class/hbr_uhr/refs folder. In Lesson 9, we discussed why we need Read More...

Let's start our exploration of sequencing read alignment by discussing the reference genome for human chromosome 22. For this, change into our ~/biostar_class/hbr_uhr/refs folder. In Lesson 9, we discussed why we need Read More...

Lessons focus on RNA-Seq analysis including experimental design and best practices, quality control, trimming, alignment based methods, classification based methods, feature counts, and differential expression analysis. Lesson 8: Introduction to RNA-Seq ( Recording ) Lesson 9: Introduction to the Read More...

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...

Lesson 12: RNA sequencing review 1 Learning objectives Here, we will do a quick review of what we have learned about RNA sequencing in Lessons 8 through 11. Accessing the Biostar handbook The URL for the Biostar handbook is Read More...

Lesson 13: Aligning raw sequences to reference genome Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 11 Review In Lesson 11 we learned to aggregate multiple FASTQC reports into one using MultiQC, Read More...

Lesson 13: Aligning raw sequences to reference genome Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 11 Review In Lesson 11 we learned to aggregate multiple FASTQC reports into one using MultiQC, Read More...

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

You will need: active, unlocked Biowulf account (hpc.nih.gov) active Globus account for transferring files OR set up a file transfer program ( Filezilla ) for Mac or WinSCP for Windows PC. program to establish a Read More...

Lesson 16: RNA sequencing review and classification based analysis Before getting started, remember to be signed on to the DNAnexus GOLD environment. Review In the previous classes, we learned about the steps involved in RNA sequencing Read More...

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 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...

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...

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The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation.The BDP was established in 1993. We Read More...

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

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

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...

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...

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...

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...

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...

Why did we focus so heavily on the tidyverse if it can't be used to manipulate Bioconductor objects? Well, for one, regardless of whether you are a user of Bioconductor packages, you will often 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...

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...

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...

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...

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...

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...

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...

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...

From the publication REDO: Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak First we get the project (PRJN) number from the publication: PRJNA257197 Next we're going to query the "sra& Read More...

How to download data from the Sequence Read Archive (NCBI/SRA) to your account on NIH HPC Biowulf You will need: active, unlocked Biowulf account (hpc.nih.gov) active Globus account for transferring files OR Read More...

Let's align an RNA-Seq sample using the "splice aware" aligner hisat2. First we will need to create the indices. Use this format: hisat2-build REFERENCE_GENOME INDEX_PREFIX Like this: hisat2-build Read More...

Let's align an RNA-Seq sample using the "splice aware" aligner hisat2. First we will need to create the indices. Use this format: hisat2-build REFERENCE_GENOME INDEX_PREFIX Like this: hisat2-build Read More...