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Bioinformatics
Here, we are going to align the Golden Snidget sequencing files to it's genome. Recall that we are working with RNA sequencing data. Given HISAT2 and Bowtie2 as the options for aligners, which is Read More...
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Bioinformatics
After assessing the quality of our raw sequencing data and performing cleanup if necessary the step that follows alignment the raw sequencing data to a genome or transcriptome. What tools can we use? {{Sdet}} Answer{{ Read More...
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Bioinformatics
05/26/2021 - Register This month’s Cancer Genomics Cloud (CGC) webinar welcomes Dr. Wenming Xiao, a lead bioinformatics scientist at the U.S. Food and Drug Administration. Dr. Xiao specializes in researching how computational, technical, and Read More...
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Bioinformatics
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...
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Bioinformatics
04/14/2021 - Registration: https://cbiit.webex.com/cbiit/onstage/g.php?MTID=ec198bc69667ba131397fb48e0c9b9708 Presenter: Christian Zinser PhD Head of Bioinformativs at Precigen Bioinformatics Germany Description: This presentation will give you Read More...
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Bioinformatics
02/27/2025 - NGS produces millions of sequences per sample and the challenge is to identify where in the genome each sequence came from. Fortunately, there are aligners that help scientists with this task. After this class, Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
04/22/2021 - Meeting link: https://cbiit.webex.com/cbiit/j.php?MTID=m2e54a1e4fca4e029e3691210f2422599 Meeting number: 160 936 5213 Password: Please obtain your meeting password from your host. Cohost: Leonard Freedman Presenter: Justin Read More...
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Bioinformatics
01/12/2021 - Please plan to attend the Earl Stadtman Investigator Program search seminar by: Mikhail Kolmogorov, Ph.D. University of California, San Diego Dr. Kolmogorov's research focus is bioinformatics. Particularly, he is interested in algorithms Read More...
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Bioinformatics
The tool HISAT2 will be used to align the trimmed hcc1395 FASTQ files to the human chromosome 22 reference. RNA sequencing analyses require the use of splice aware aligners in order to map sequences that span Read More...
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Bioinformatics
The tool HISAT2 will be used to align the trimmed hcc1395 FASTQ files to the human chromosome 22 reference. RNA sequencing analyses require the use of splice aware aligners in order to map sequences that span Read More...
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Bioinformatics
11/21/2024 - Dear FNL colleagues, It’s time once again for our last in 2024 Biotech Connector event!! The Frederick National Laboratory for Cancer Research together with the Frederick County Chamber of Commerce organizes the quarterly Biotech Read More...
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Bioinformatics
Before getting started, remember to be signed on to the DNAnexus GOLD environment.
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Bioinformatics
Before getting started, remember to be signed on to the DNAnexus GOLD environment.
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Bioinformatics
01/23/2020 - Experimental Design Considerations in Variant Analysis Germline vs Somatic WGS vs WES Sample sizes and statistical power WGS/WES Pipelines at NIH Pipeline performance Using Pipeliner for internal and external data Variant QC, Annotation Read More...
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Bioinformatics
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...
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Bioinformatics
10/11/2023 - 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...
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Bioinformatics
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...
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Bioinformatics
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...
Frederick, MD
Core Facility
NCI LASP Genome Modification Core (GMC) is a CCR-dedicated facility that provides advice, training, and reagents to NCI scientists seeking to utilize CRISPR and other nucleases to generate genome modifications in primary cells, cell lines, Read More...
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Bioinformatics
07/09/2024 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This workshop will cover exome sequencing data Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Reference genome or transcriptome Annotation files (gff or gtf) that tells us the genomic features (ie. gene, transcript, etc.) Raw sequencing files in FASTQ (or fq) format
Web Page
Bioinformatics
{{Sdet}} Solution{{Esum}} Reference genome or transcriptome Annotation files (gff or gtf) that tells us the genomic features (ie. gene, transcript, etc.) Raw sequencing data in FASTQ (or fq) format {{Edet}}
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Bioinformatics
Long read sequencing was recently named 2022’s method of the year by Nature Methods . Long read sequencing technologies, those that generate sequence reads with lengths of 10s of kilobases or longer have several advantages over Read More...
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Bioinformatics
03/04/2025 - Alignment of RNA sequencing data enables researchers to identify where in the genome each sequence came from. However, it does not inform of how many sequences aligned to each genomic feature such as a Read More...
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Bioinformatics
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...
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Bioinformatics
05/16/2024 - 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...
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Bioinformatics
02/16/2024 - Deep sequencing has emerged as the primary tool for transcriptome profiling in cancer research. Like other high-throughput profiling technologies, sequencing is susceptible to systematic non-biological artifacts stemming from inconsistent experimental handling. A critical initial Read More...
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Bioinformatics
Overview of wet lab procedures Library preparation process, including Adapters and indices Single and paired end sequencing Strandedness Coverage and depth Spike-ins Replicates Batch effects Overview of analysis procedures References and annotation files needed for Read More...
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Bioinformatics
Now that we have downloaded the Golden Snidget reference files let's take a moment to get to know the references. First, change into the refs folder. How do we do this from the ~/biostar_ Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Lesson 17: RNA sequencing review 2 Learning objectives This lesson will serve as comprehensive review of Module 2. We will spend roughly the first hour reviewing the Module 2 material the second hour answering specific questions from the poll Read More...
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Bioinformatics
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...
Rockville, MD
Trans NIH Facility
NISC’s role within NHGRI, and more broadly across NIH, aims to advance genome sequencing and its many applications, with a goal not simply to produce sequence data, but to produce the infrastructure required to Read More...
Bethesda, MD
Core Facility
The Flow Cytometry Core (LGI) offers established technologies to support studies using flow cytometry and cell sorting. Established Technologies Applications that run on FACS Caliburs include: Immunophenotyping (up to 4-color), Intracellular markers, including cytokines and Read More...
Frederick, MD
Core Facility
The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at Read More...
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Experience richer, faster reads of genetic and epigenetic information with the 6-base genome. Mark Consugar, MS Associate Director - Scientific Affairs
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Bioinformatics
04/16/2025 - Updated Location: ATRF, Frederick MD, Main Auditorium What to bring: Laptop capable of connecting to internet via NIH wifi For questions or to register, please contact Amy Stonelake ( amy.stonelake@nih.gov ) Read More...
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Bioinformatics
04/15/2025 - What to bring: Laptop capable of connecting to internet via NIH wifi Are you looking to expand the reach of your sequencing to enable what long read technologies can provide?& Read More...
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Bioinformatics
06/06/2024 - The Brooks Lab developed a computational tool called FLAIR (Full-Length Alternative Isoform Analysis of RNA) to produce confident transcript isoforms from long-read RNA-seq data with the aim of alternative isoform detection and quantification. With Read More...
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Bioinformatics
06/04/2024 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This training will introduce ChIP sequencing data Read More...
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Bioinformatics
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...
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Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinfo environment. conda activate bioinfo Then create a new directory for files we will be working with today in Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
When analyzing high throughput sequencing data, we will need to trim away adapters. Adapters help anchor the unknown sequencing template to the Illumina flow cell and can interfere with alignment. We may also want to Read More...
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Bioinformatics
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...
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Bioinformatics
In the previous classes, we learned about the steps involved in RNA sequencing analysis. We started off with assessing quality of raw sequencing data, then we aligned the raw sequencing data to genome, and finally Read More...
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Bioinformatics
Lesson 10: Introducing the FASTQ file and assessing sequencing data quality Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 9 Review In the previous lesson, we explored the reference genomes and Read More...
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Bioinformatics
In this lesson, we learned about the classification based approach for RNA sequencing analysis. In this approach, we are aligning our raw sequencing reads to a reference transcriptome rather than a genome. Here, we will Read More...
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Bioinformatics
Before we can align the HBR and UHR raw sequencing data to human chromosome 22 transcriptome, we need to create an index of this transcriptome (like we did with the genome). This will make the alignment Read More...
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Bioinformatics
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...
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Bioinformatics
In Lesson 8, we learned about the basics of RNA sequencing, including experimental considerations and basic ideas behind data analysis. In lessons 9 through 17 we will learn how to analyze RNA sequencing data. We will start with Read More...
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Bioinformatics
In Lesson 8, we learned about the basics of RNA sequencing, including experimental considerations and basic ideas behind data analysis. In lessons 9 through 17 we will learn how to analyze RNA sequencing data. We will start with Read More...
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Bioinformatics
Previously, we performed QC on the Golden Snidget RNA sequencing data, aligned the sequencing reads to its genome, and obtained expression counts. We can now finally perform differential expression analysis, to find out which genes Read More...
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Bioinformatics
In this lesson, we will continue to learn about RNA sequencing analysis using the Human Brain Reference (HBR) and Universal Human Reference (UHR) datasets . In particular, we will Get to know the HBR and UHR Read More...
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Bioinformatics
In this lesson, we will continue to learn about RNA sequencing analysis using the Human Brain Reference (HBR) and Universal Human Reference (UHR) datasets . In particular, we will Get to know the HBR and UHR Read More...
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Bioinformatics
Here, we will practice using the Integrative Genome Viewer (IGV) to visualize the hcc1395 RNA sequencing alignment results.
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Bioinformatics
In the previous lesson, we learned to visualize RNA sequencing alignment results in the Integrative Genome Viewer (IGV).
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Bioinformatics
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...
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Bioinformatics
12/07/2023 - This webinar will discuss and demonstrate experimental design considerations in variant analysis, including the origins of tissue samples (germline vs. somatic), whole exome (WES) or whole-genome sequencing (WGS), sample sizes and statistical power, quality Read More...
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Bioinformatics
Course setup Intro to DNAnexus and the GOLD learning system Learning Objectives Unix Bootcamp Brief Review of R (for R scripts in later analyses) Introduction to RNA Sequencing Central Dogma of Molecular Biology What is Read More...
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Bioinformatics
Where is the RNA sequencing data that we will be using for this course? Remember we will be demonstrating the steps of RNA sequencing in class using the Human Brain Reference (HBR) and Universal Human Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
In the previous lesson, we explored the reference genomes and genome annotation files that are needed in our analysis of the Human Brain Reference (HBR) and Universal Human Reference (UHR) RNA sequencing data.
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Bioinformatics
Bioinformatics for beginners Module 2: Introduction to RNA sequencing In this module, we will use the Human Brain Reference and Universal Human Reference RNA sequencing datasets to learn about RNA sequencing. Each lesson will be followed Read More...
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Bioinformatics
The Golden Snidget reference genome is located at http://data.biostarhandbook.com/books/rnaseq/data/golden.genome.tar.gz. Can you download and extract? {{Sdet}} Solution{{Esum}} Download wget http://data.biostarhandbook.com/books/rnaseq/ Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
Bethesda, MD
Trans NIH Facility
The Center for Inherited Disease Research (CIDR)'s mission is to support the genetics community by providing high-quality, cutting-edge genomics services and technologies in order to expand our understanding of disease and catalyze discoveries that Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. If you haven’t Read More...
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Bioinformatics
01/10/2025 - NIH DIRECTORS SEMINAR SERIES In this presentation, Dr. Scholz will discuss the approach to tackling complex neurodegenerative diseases using modern genomic tools, focusing on Lewy body dementia, a major research area in her lab. Read More...
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Bioinformatics
06/06/2024 - The CCR Genomics Core Facility is pleased to host a virtual technology workshop with EpiCypher on CUT&RUN library prep/sequencing Presentation overview: The location of histone post-translational modifications and chromatin-associated proteins Read More...
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Bioinformatics
05/23/2024 - During this virtual conversation of the Cancer Moonshot Seminar Series, Dr. Kai Tan, an investigator with the Human Tumor Atlas Network , and Liz Salmi, a co-investigator and patient advocate with the Participant Engagement and Read More...
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Bioinformatics
After alignment of sequencing data to genome, we will need to count how many reads aligned to which gene. Using the tool featureCounts, we were able to do this. This tool takes as input our Read More...
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Bioinformatics
Data Simulation We'll download a reference sequence from NCBI (AF086833, ebola genome), place it in a refs directory that we create, and create a "bam" index using "bwa". mkdir -p Read More...
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Bioinformatics
Before we start, remember to change into the ~/biostar_class/snidget folder and then list the content to review what is available. cd ~/biostar_class/snidget ls -l QC total 117384 drwxrwxr-x 1 joe joe 1188 Oct 31 23:29 QC Read More...
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Bioinformatics
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...
Web Page
Bioinformatics
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...
Web Page
Bioinformatics
Picard is a set of command line tools for manipulating high- throughput sequencing (HTS) data and formats such as SAM/ BAM/CRAM and VCF. (mark pcr duplicates) Samtools provide various utilities for manipulating alignments in Read More...
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Bioinformatics
Change in the ~/biostar_class/hbr_uhr/hbr_uhr_hisat2 folder for this portion of the class. cd ~/biostar_class/hbr_uhr/hbr_uhr_hisat2 Now that we have our SAM files generated for the Read More...
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Bioinformatics
Lesson 13 Practice Objectives In this lesson we learned how to align raw sequencing reads to reference and to process alignment results for downstream analysis. Here, we will test our knowledge by continuing with the Golden Read More...
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Bioinformatics
First we will retrieve the Ebola reference genome and put it in the "refs" directory. Next we need to create the index for the aligner (bwa index) and for IGV (samtools faidx). Let' Read More...
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Bioinformatics
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...
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Bioinformatics
Lesson 9 Practice Objectives In this practice session, we will apply our knowledge to learn about the reference genome and annotation file for the Golden Snidget dataset visualize the Golden Snidget genome using the Integrative Genome Read More...
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Bioinformatics
Throughout this module, we will be running various tools, including helper R scripts on the Unix command line to analyze the HBR and UHR RNA sequencing dataset. The helper R scripts were developed by the Read More...
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Bioinformatics
Throughout this module, we will be running various tools, including helper R scripts on the Unix command line to analyze the HBR and UHR RNA sequencing dataset. The helper R scripts were developed by the Read More...
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Bioinformatics
Change in the ~/biostar_class/hbr_uhr/hbr_uhr_hisat2 folder for this portion of the class. cd ~/biostar_class/hbr_uhr/hbr_uhr_hisat2 Now that we have our SAM files generated for the Read More...
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Bioinformatics
Most alignment algorithms rely on the construction of auxiliary data structures, called indices, which are made for the sequence reads, the reference genome sequence, or both. Mapping algorithms can largely be grouped into two categories Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Alignment RNASeq Mapping Challenges 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. Mapping Challenges Reads not perfect Read More...
Rockville, MD
Collaborative
We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...
Bethesda, MD
Repositories
Trans NIH Facility
The NCI Genomic Data Commons (GDC) was established by the NCI Center for Cancer Genomics (CCG) to support the receipt, harmonization, distribution, and analysis of genomic and clinical data from cancer research programs. The GDC Read More...
Bethesda, MD
Core Facility
The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...
Bethesda, MD
Collaborative
Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...
Frederick, MD
Core Facility
The Advanced Biomedical Computational Sciences (ABCS) group provides technology development, scientific consultation, collaboration and training, research, software development, and high-performance computing support. ABCS encompasses specialized groups focusing on machine learning applied to the interpretation of 2 Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...
Bethesda, MD
Core Facility
The Cancer and Inflammation Program – Microbiome and Genetics Core (CIP-MGC) grew out of the former CIP Genetics Core to meet the increasing need for sequencing and analysis of commensal microbiota within CIP and NCI. The Read More...
Rockville, MD
Core Facility
Trans NIH Facility
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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More. New Resources on CREx NIMH Human Brain Collection Core (HBCC) The HBCC obtains human brain tissue, hair, and blood Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
Frederick, MD
Core Facility
The Genomics Technology Laboratory is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, data analysis, and information management tools, in support of CCR Investigators. The laboratory develops integrated Read More...
Bethesda, MD
Collaborative
The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...
Web Page
The CLIA Molecular Diagnostics Laboratory (CMDL) provides an array of services for groups at the NIH Clinical Center, Fort Detrick, and Hood College, among others. They support cancer- and disease-related research by making Read More...
Web Page
NanoString Technology The nCounter® Analysis System is an automated, multi-application, digital detection and counting system which directly profiles up to 800 molecules simultaneously from a single sample using a novel barcoding technology. Profile hundreds of mRNAs, Read More...
Bethesda, MD
Core Facility
Trans NIH Facility
The NHLBI Transgenic Core’s main mission is to keep up with the latest advancements in genome engineering technologies and to provide state-of-the-art services to assist NIH scientists in generating genetically engineered animal models. In Read More...
Bethesda, Maryland
Collaborative
Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...
Bethesda, MD
Core Facility
The rapid advancement of single-cell technology has provided new powerful tools to answer many biological questions, such as identifying new or rare cell populations and characterizing the complexities of tumor heterogeneity. Realizing the great potential Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging Read More...
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Bioinformatics
General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Desiree Tillo, Ph.D . Staff Scientist desiree.tillo@nih.gov I have a broad research background in bioinformatics Read More...
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Bioinformatics
The Advanced Biomedical Computational Science (ABCS) group focuses on applications of bioinformatics, computational and data science, and artificial intelligence to support NCI researchers. ABCS provides: • Subject matter expertise in genomics, proteomics, and imaging. • Machine learning/ Read More...
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Bioinformatics
Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding Read More...
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Bioinformatics
NCI scientists have many choices available to them for bioinformatic analyses of Next Generation Sequencing (NGS) data. While some require expertise in programming, others provide a more user-friendly, point-and-click interface. These options include programs for Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx NCI CLIA Molecular Diagnostics Laboratory (CMDL) The NCI CMDL is available to assist all Read More...
Frederick, Maryland
Core Facility
CLIA-Certified Technologies Offered: Fragment Analysis for Micro-satellite Instability Detection, Pharmacoscan Array for Pharmacogenomics, Mutation Detection for PCR and Sanger Sequencing, DNA extraction from whole blood, saliva, FFPE tissues, buccal swabs, nails, hair, PBMCs, buffy coats, Read More...
Rockville, MD
Collaborative
Repositories
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...
Web Page
What is Visium FFPE v2 with CytAssist? Visium FFPE v2 is sequencing-based spatial profiling technology developed by 10x Genomics. This assay can take mouse or human tissue sections on normal glass slides as input and Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Technology Event Biophysical Methods for Protein Interactions Monday, May 15 – Friday, May 19, 2023 This workshop will review the strategies of Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. We would greatly appreciate Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...
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September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx Program Manager The CREx Team is happy to announce Deepika Velampati as the new CREx Program Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...
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The Genomics Laboratory (formerly Laboratory of Molecular Technology) is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, together with associated laboratory automation systems, data analysis, and information management Read More...
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CCR Office of Science and Technology Resources (OSTR) The Center for Cancer Research (CCR) Office of Science and Technology Resources (OSTR) explores and evaluates the latest technologic advancements and then makes them available to all Read More...
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October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIH Center For Human Immunology, Inflammation, And Autoimmunity (CHI) CHI is a Read More...
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September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight Trans-NIH Intramural Sequencing Center (NISC) NISC is a multi-disciplinary genomics facility that Read More...
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The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...
Bethesda, MD
Collaborative
The Pan-Microbial Serology Facility (PMSF) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The PMSF focuses on determining individualized pan-microbial immune profiles associated with human diseases including immunological Read More...
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OSTR provides CCR investigators with access to a variety of software licenses for genomic, proteomic, pathway analysis and data visualization tools. These software are funded by OSTR and made available at no cost to CCR Read More...
Rockville, MD
Collaborative
Repositories
Proteomic Data Common (PDC) represents the NCI’s largest public repository of proteogenomic comprehensive tumor datasets, essentially a Proteogenomic Cancer Atlas. It was developed to advance our understanding of how proteins help shape the risk, Read More...
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Total end-to-end system for single-cell research [embed]https://youtu.be/vMzhSzg1rUw[/embed] The BD Rhapsody Single-Cell Analysis system empowers and streamlines your research with a complete system of tools, including reagents and analysis software, Read More...
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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...
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Supplemental Technology Award Review System (STARS) Overview STARS Request Form STARS System The Supplemental Technology Award Review System (STARS) is a web-based interface for submission and review of S&S supplement requests by CCR Read More...
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What is Xenium? Xenium is a high-resolution, imaging-based in situ spatial profiling technology from 10x Genomics that allows for simultaneous expression analysis of RNA targets (currently in range of 100’s) within the same tissue section. Read More...
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CREx News & Updates August 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...
Bethesda, MD
Collaborative
Repositories
The National Cancer Institute (NCI) is developing a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), patient-derived organoids (PDOrg), and in vitro patient-derived tumor cell cultures (PDCs) and cancer-associated fibroblasts (CAFs). These Read More...
Frederick, MD
Core Facility
Repositories
The Mouse Modeling Core assists NIH investigators by generating and preserving genetically-engineered mouse strains. Services include scientific consultation, gene-targeting in mouse embryonic stem cells, micro-injection of nucleic acids, proteins, or ES cells into mouse embryos, Read More...
Bethesda, MD
Trans NIH Facility
The NIH Biowulf Cluster provides researchers with a world-class system to assist in solving complex biomedical problems as diverse as gene variation in worldwide human populations, deep learning to model protein structures, and PET brain Read More...
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CREx News & Updates April 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...
Bethesda, Maryland
Core Facility
Repositories
The AgingResearchBiobank was officially launched in January 2019 with a mission to provide a state-of-the-art inventory system for the storage, maintenance, and distribution of de-identified biospecimens and associated phenotypic, clinical, and imaging data from numerous NIA-funded Read More...
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Bioinformatics
Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...
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Bioinformatics
Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...
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Bioinformatics
Lesson 2: Getting Started with QIIME2 Lesson Objectives Obtain sequence data and sample metadata Import data and metadata Discuss other useful QIIME2 features including view QIIME2, provenance tracking, and the QIIME2 forum. DNAnexus DNAnexus provides a Read More...