Search Results for: BL-22 (dsFv RFB4-PE38) (Lymphoma)

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...

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...

First we need to create the indices for Chr22. hisat2-build refs/22.fa refs/22.fa where "refs/22.fa" is the reference genome, and also the prefix we will use for the index created. Read More...

First we need to create the indices for Chr22. hisat2-build refs/22.fa refs/22.fa where "refs/22.fa" is the reference genome, and also the prefix we will use for the index created. Read More...

First we need to create the indices for Chr22. hisat2-build refs/22.fa refs/22.fa where "refs/22.fa" is the reference genome, and also the prefix we will use for the index created. Read More...

Here, we will be using IGV locally on our own computers. We will use the HISAT2 and Bowtie2 alignment results for HBR_1 as an example, so we need to copy the following to the ~/public Read More...

mkdir rnaseq cd rnaseq curl -s http://data.biostarhandbook.com/rnaseq/projects/griffith/griffith-data.tar.gz | tar zxv Directories: * "reads" contains the sequencing reads * "refs" contains genome and annotation information using Read More...

mkdir rnaseq cd rnaseq curl -s http://data.biostarhandbook.com/rnaseq/projects/griffith/griffith-data.tar.gz | tar zxv Directories: * "reads" contains the sequencing reads * "refs" contains genome and annotation information using Read More...

mkdir rnaseq cd rnaseq curl -s http://data.biostarhandbook.com/rnaseq/projects/griffith/griffith-data.tar.gz | tar zxv Directories: * "reads" contains the sequencing reads * "refs" contains genome and annotation information using Read More...

An alternative to aligning raw sequencing data to a reference genome is to map them to a reference transcriptome. In this lesson, we will use the HBR and UHR datasets, and learn about this approach Read More...

The Clinical Flow Cytometry Laboratory provides extensive support for NCI clinical protocols by providing diagnostic testing for leukemia and lymphoma in patients either on NCI clinical protocols or undergoing testing to determine eligibility for NCI Read More...

07/22/2025 - Con ideration for protecting private data when training AI model i a topic of increa ing concern. During thi event, participant will di cu the u e of ynthetic data for privacy-pre erving AI.

04/22/2025 - This lesson will serve as a general introduction to R and RStudio. Attendees will explore the RStudio interactive development environment (IDE) and get started with R programming.  

01/22/2025 - NCI CCR Fellows and Young Investigators Seminar Series

05/22/2024 - Are you attending the 2024  AMIA Clinical Informatics Conference ? Join NCI Fellow, Austin Fitts, as he presents on the  National Childhood Cancer Registry  (NCCR) during the May 22 afternoon sessions. Read More...

05/22/2024 - This seminar provides an overview of differential expression testing with Seurat. Topics to be covered include preparing data for differential gene expression, d ifferential gene analysis between specific groups, d ifferential gene analysis for Read More...

02/22/2024 - During this 90-minute training session, attendees will be introduced to the interface of MATLAB, develop a solid understanding of Artificial Intelligence (AI) fundamentals, and discover additional resources and support tailored for beginners. This is Read More...

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...

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...

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...

After the index file for the genome has been created, we can go ahead and run the following to create the bigWig files for both the HISAT2 and Bowtie2 alignments. Generate bw files for the Read More...

After the index file for the genome has been created, we will use a tool called bedGraphToBigWig to generate bigWig (bw) files from bedGraph (bg). Again, we use cat and parallel where cat reads/ids. Read More...

Here, let's download the HBR and UHR dataset to get acquainted with it. First, we will use pwd to make sure we are in the home directory. pwd If we are in the home Read More...

Here, let's download the HBR and UHR dataset to get acquainted with it. First, we will use pwd to make sure we are in the home directory. pwd If we are in the home Read More...

Work on this if you choose to, at your own leisure, or if time permits. How would you confirm that there is a potential single nucleotide variant at position 50,768,105 on chromosome 22 for the hcc1395_normal_ 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...

The COP evaluates novel therapies in pet dogs with cancer to improve outcomes for human patients and established the Comparative Oncology Trial Consortium (COTC), a collaborative effort of NCI and extramural comparative oncology centers at 24 Read More...

DTP’s Natural Products Repository is the world’s largest storehouse of natural products. It houses close to >200,000 extracts from samples of more than 70,000 plants and >20,000 marine organisms collected from more than 29 countries, plus extracts Read More...

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...

The Central Repository provides the research community at the NCI with various cryogenic services, including low-temperature storage from +4° C to -196° C, controlled-rate freezing, computerized inventory and distribution of samples. The Central Repository is operated Read More...

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

07/22/2025 - Thi one and a half-hour online training cover the ba ic principle of FAIR (Findable, Acce ible, Interoperable, Reu able) data and why it i important to make your data FAIR.&nb p; Read More...

07/15/2025 - Single-cell technologies enable the discovery of many novel cell phenotypes, but this growing body of knowledge remains fragmented across the scientific literature. Natural language processing (NLP) offers a promising approach to extract this information 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...

01/22/2025 - This three hour online training covers QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression. Read More...

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

01/22/2025 - Join us for a one-hour talk investigating tumor signatures in the BRCA dataset by utilizing the CCBR Single-Cell RNA-seq Workflow on NIDAP. This talk will take you through an analysis of a publicly available Read More...

11/06/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/29/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/22/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/22/2024 - Generalist repositories offer NIH researchers a flexible, trusted resource to share data for which there is no appropriate discipline specific repository as well as to share many other research outputs valuable for reproducibility and Read More...

10/22/2024 - Popular structure prediction program AlphaFold3 and its competitor Chai-1 recently added capabilities to predict 3D RNA structures straight from sequence input. In this talk, we will discuss some test cases for these programs and Read More...

10/15/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

April 3, 2024 - The CCR Single Cell Analysis Facility (SCAF): An Overview (Mike Kelly, SCAF) ( Recording ) April 10, 2024 - Introduction to single cell RNA-Seq (Charlie Seibert, Saeed Yadranji Aghdam, SCAF) ( Recording ) April 17, 2024 - SCAF: Overview of Cell Read More...

Welcome to Getting Started with scRNA-Seq This is a mini seminar series designed to help attendees learn more about single cell RNA-Seq, from applicable technologies to data analysis. Seminar Schedule April 3, 2024 - The CCR Single Read More...

05/22/2024 - The ISB-CGC (Cancer Gateway in the Cloud) hosts data from programs such as The Cancer Genome Atlas Program (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC) in Google BigQuery where it can be quickly Read More...

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

04/22/2024 - Dear Colleagues,    In this webinar, you'll get an introduction to XNAT. XNAT is an open-source platform for managing, processing, and sharing medical imaging and related data in research settings. & Read More...

03/27/2024 - On Wednesday, March 27th, at 9:00 a.m., in Building 37, Room 4041/4107, and online. In-person attendance is encouraged.  Dr. Khan is the Deputy Chief of the Genetics Branch and Head of the Oncogenomics Section, Read More...

02/22/2024 - Join us for an introduction to bioinformatics resources for NCI CCR researchers.  Featuring:  NIH Bioinformatics Calendar Programming Classes (R, Unix, Python) Class documentation Website resources working on high performance compute cluster (Biowulf/Helix) Next-Gen Read More...

01/22/2024 - This is the first lesson in the Introduction to Unix on Biowulf, January 2024 series. In this lesson, participants will learn to log onto Biowulf and receive an overview of Unix command line as well Read More...

01/22/2024 - Dear Colleagues,    Optical Genome Maps (OGM) provide scaffolding information for large DNA molecules. In this talk, we describe the use of this technology for detecting structural variants and chaining them 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...

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 grab some data. library ( tidyverse ) acount_smeta % dplyr :: rename ( "Feature" = "...1" ) acount #differential expression results dexp % filter ( ! Feature %in% dexp $ feature ) ## # A tibble: 48,176 × 9 ## Feature SRR1039508 SRR1039509 SRR1039512 SRR1039513 SRR1039516 SRR1039517 ## ## 1 Read More...

Help Session Lesson 6 Let's grab some data. library ( tidyverse ) acount_smeta % dplyr :: rename ( "Feature" = "...1" ) acount #differential expression results dexp % filter ( ! Feature %in% dexp $ feature ) ## # A tibble: 48,176 × 9 ## Feature SRR1039508 SRR1039509 SRR1039512 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...

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...

09/22/2023 - The training will overview the current status of pathway tools, with focus on software available to NIH community.  It will discuss the biological interoperation of mutation and expression data in the context of pathways, 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...

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...

This page contains content taken directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment. conda activate bioinfo We will be analyzing differential expression of genes on Chr22 from the Read More...

This page contains content taken directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment. conda activate bioinfo We will be analyzing differential expression of genes on Chr22 from the Read More...

featureCounts -a refs/22.gtf -g gene_name -o 22counts.txt bam/HBR*.bam bam/UHR*.bam Let's check the results file. less 22counts.txt We can remove some of the columns so we just Read More...

featureCounts -a refs/22.gtf -g gene_name -o 22counts.txt bam/HBR*.bam bam/UHR*.bam Let's check the results file. less 22counts.txt We can remove some of the columns so we just Read More...

featureCounts -a refs/22.gtf -g gene_name -o 22counts.txt bam/HBR*.bam bam/UHR*.bam Let's check the results file. less 22counts.txt We can remove some of the columns so we just Read More...

Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain Reference (HBR) and Universal Human Reference (UHR) dataset. We created sorted and indexed alignment output in the form of Read More...

Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain Reference (HBR) and Universal Human Reference (UHR) dataset. We created sorted and indexed alignment output in the form of Read More...

Lesson 14 Practice Objectives Here, we will practice using the Integrative Genome Viewer (IGV) to visualize the hcc1395 RNA sequencing alignment results. About the data and launching IGV We were introduced to the hcc1395 RNA sequencing Read More...

Thus far we have: Learned how to interact with our computer via command line. Downloaded raw RNA-Seq data (.fastq files). Examined raw data quality using fastqc and multiqc . Performed adapter and quality trimming using Trimmomatic . 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...

Let's talk about obtaining expression read counts using an application called featureCounts First let's create a new directory in our ~biostar_class/hbr_uhr folder to store the counts. mkdir hbr_uhr_deg_ Read More...

If you are using a Windows PC, you will need to download and install the PuTTY program. https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html Go to the section "Alternative Binary Files& Read More...

BBDuk is another tool that can be used for adapter and quality trimming. In addition, BBDuk can be used to filter out contaminations, perform GC filtering, filter for length, etc. (see https://jgi.doe.gov/ Read More...

We were introduced to the hcc1395 RNA sequencing data in Lesson 12 practice session . This study compared the transcriptome of hcc1395 normal and cancer cell lines so it's a normal versus tumor comparison. This dataset Read More...

Lesson 14: Visualizing alignment results Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 13 Review Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain 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...

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...

Thus far we have: Downloaded raw RNA-Seq data (.fastq files). Examined raw data quality using fastqc and multiqc . Performed adapter and quality trimming using Trimmomatic . Aligned the raw sequences to a reference genome (human chromosome 22 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...

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...

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...

Lesson 14: Visualizing alignment results Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 13 Review Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain 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...

The Functional Genomics Laboratory (formerly, the RNAi Screening Facility) of the National Center for Advancing Translational Sciences (NCATS) assist investigators with all stages of project planning and execution, beginning with assay development through genome-wide siRNA Read More...

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

Back Services: Biophysics Facility offers MST 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 Read More...

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

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

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...

Register now for an upcoming seminar on January 22, 2025 , “Revealing Tumor-Promoting Signals in Breast Cancer Subtypes: A NIDAP Analysis of Single-Cell Data” . This one-hour talk will feature guest speaker and NIDAP developer, Josh Meyer, who will Read More...

03/22/2024 - This 3-hour seminar is tailored for biologists, data analysts, and researchers who are eager to dive into the essentials of computational flow cytometry analysis using R. Flow cytometry is a crucial technique in cell 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...

For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and cut of each diamond. --- R4 Read More...

Help Session Lesson 4 Plotting with ggplot2 For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and 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...